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  • 301.
    Kovalev, Vassili
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Thurfjell, Lennart
    Lundqvist, Roger
    Pagani, M
    Classification of SPECT scans of AD and FLD based on intensity and gradient information1999Inngår i: Medical Image Understanding and Analysis 99, 1999, s. 4-Konferansepaper (Fagfellevurdert)
    Abstract [en]

    This paper describes a method for classification of SPECT perfusion scans of Alzheimer's disease (AD) and Frontal lobe dementia (FLD) when compared to normal controls. A brain atlas was used to define volumes of interests corresponding to the brain lobes.

  • 302.
    Kylberg, Gustaf
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Uppström, Mats
    Hedlund, Kjell-Olof
    Sintorn, Ida-Maria
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Towards Identification of Highly Pathogenic Viruses Based on Image Analysis and TEM2010Inngår i: TAMSEC 2010 / [ed] Fredrik Gustafsson, 2010, s. 25-25Konferansepaper (Annet (populærvitenskap, debatt, mm))
  • 303. Larsolle, Anders
    et al.
    Hamid Muhammed, Hamed
    Uppsala universitet, Fakultetsövergripande enheter, Centrum för bildanalys. Uppsala universitet, Fakultetsövergripande enheter, Centrum för bildanalys. Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Measuring crop status using multivariate analysis of hyperspectral field reflectance with2005Inngår i: 5th European Conference on Precision Agriculture: Precision Agriculture ‘05, 2005, s. 1008-Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Using spectral reflectance to estimate crop status is a method suitable for developing sensors for site-specific agricultural applications. When developing spectral analysis methods the influence of different crop parameters on the spectral reflectance profile is important to know. The objective of this report was to present and evaluate a multivariate method for objective hyperspectral analysis in the examination of how different parts of the reflectance spectrum are affected by disease severity and above ground plant density. Data from two field experiments was used, fungal disease severity assessments in wheat 1998 and above ground plant density measurements 2003. The analysis method consisted of two steps: normalisation and classification. Using only 12% of the data as training data, the method resulted in the coefficients of determination (R²) of 94.3% for the disease severity data and 96.9% for the plant density data. The presented hyperspectral analysis method could also be used to extract spectral profiles of disease severity and plant density using the experimental data. In general two types of spectral profiles for both data sets were observed (1) a flattening of the green reflectance peak together with a general decrease in reflectance in the near infrared region and (2) a decrease of the shoulder of the near infrared reflectance plateau together with a general increase in the visible region between 550 and 750 nm.

  • 304. Larsolle, Anders
    et al.
    Hamid Muhammed, Hamed
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Measuring crop status using multivariate analysis of hyperspectral field reflectance with application on disease severity and amount of plant density2005Inngår i: Proceedings of 5th European Conference on Precision Agriculture, Vol. Precision Agriculture ’05, s. 217-225Artikkel i tidsskrift (Fagfellevurdert)
  • 305.
    Lindblad, Joakim
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys.
    Development of Algorithms for Digital Image Cytometry2002Doktoravhandling, med artikler (Annet vitenskapelig)
    Abstract [en]

    This thesis presents work in digital image cytometry applied to fluorescence microscope images of cultivated cells. Focus has been on the development and compilation of robust image analysis tools, enabling quantitative measurements of various properties of cells and cell structures. A significant part of the work has consisted of developing robust segmentation methods for fluorescently labelled cells. This, in combination with effort applied in the areas of feature extraction and statistical data analysis, has enabled the compilation of a complete chain of processing steps to produce a system capable of performing fully automatic segmentation and classification of fluorescently labelled cells according to their level of activation.

    Two sequences of processing steps, both leading to automatic cytoplasm segmentation of fluorescence microscopy cell images are presented. In one of the sequences, an additional image of the nuclei of the cells is segmented. The nuclei are then used as seeds for the segmentation of the cytoplasm image. This solves the problem of over-segmentation of the cytoplasms in an efficient way. The other sequence uses merge and split algorithms on the cytoplasm image, in conjunction with statistical analysis of descriptive features. This analysis is used in a feedback system to improve the segmentation performance, and to give an overall quality measure of the segmentation.

    A classification method that separates individual cells into three classes, depending on their level of activation, is described. The method is based on analysis of time series of images. Using both general purpose features and carefully designed problem specific features, in combination with a floating feature selection procedure, a Bayesian classifier is built. Evaluation showed that the performance of the fully automatic classification procedure was very close to the performance of skilled manual classification.

    A novel method for performing estimation of intensity nonuniformites of microscope images is presented. Methods to solve many other problems related to image analysis of cell images are discussed and evaluated. All methods presented in this work are applicable to real-world situations. The two main projects of the thesis work have been performed in close cooperation with and according to demands of the biomedical industry.

    Delarbeid
    1. Image Analysis for Automatic Segmentation of Cytoplasms and Classification of Rac1 Activation
    Åpne denne publikasjonen i ny fane eller vindu >>Image Analysis for Automatic Segmentation of Cytoplasms and Classification of Rac1 Activation
    2004 (engelsk)Inngår i: Cytometry, ISSN 0196-4763, E-ISSN 1097-0320, Vol. 57A, nr 1, s. 22-23Artikkel i tidsskrift (Fagfellevurdert) Published
    Abstract [en]

    BACKGROUND:

    Rac1 is a GTP-binding molecule involved in a wide range of cellular processes. Using digital image analysis, agonist-induced translocation of green fluorescent protein (GFP) Rac1 to the cellular membrane can be estimated quantitatively for individual cells.

    METHODS:

    A fully automatic image analysis method for cell segmentation, feature extraction, and classification of cells according to their activation, i.e., GFP-Rac1 translocation and ruffle formation at stimuli, is described. Based on training data produced by visual annotation of four image series, a statistical classifier was created.

    RESULTS:

    The results of the automatic classification were compared with results from visual inspection of the same time sequences. The automatic classification differed from the visual classification at about the same level as visual classifications performed by two different skilled professionals differed from each other. Classification of a second image set, consisting of seven image series with different concentrations of agonist, showed that the classifier could detect an increased proportion of activated cells at increased agonist concentration.

    CONCLUSIONS:

    Intracellular activities, such as ruffle formation, can be quantified by fully automatic image analysis, with an accuracy comparable to that achieved by visual inspection. This analysis can be done at a speed of hundreds of cells per second and without the subjectivity introduced by manual judgments.

    HSV kategori
    Identifikatorer
    urn:nbn:se:uu:diva-90085 (URN)10.1002/cyto.a.10107 (DOI)14699602 (PubMedID)
    Tilgjengelig fra: 2002-12-19 Laget: 2002-12-19 Sist oppdatert: 2018-12-02bibliografisk kontrollert
    2. Algorithms for cytoplasm segmentation of fluorescence labeled cells
    Åpne denne publikasjonen i ny fane eller vindu >>Algorithms for cytoplasm segmentation of fluorescence labeled cells
    Vise andre…
    2002 (engelsk)Inngår i: Analytical Cellular Pathology, ISSN 0921-8912, E-ISSN 1878-3651, Vol. 24, nr 2-3, s. 101-111Artikkel i tidsskrift (Fagfellevurdert) Published
    Abstract [en]

    Automatic cell segmentation has various applications in cytometry, and while the nucleus is often very distinct and easy to identify, the cytoplasm provides a lot more challenge. A new combination of image analysis algorithms for segmentation of cells imaged by fluorescence microscopy is presented. The algorithm consists of an image pre-processing step, a general segmentation and merging step followed by a segmentation quality measurement. The quality measurement consists of a statistical analysis of a number of shape descriptive features. Objects that have features that differ to that of correctly segmented single cells can be further processed by a splitting step. By statistical analysis we therefore get a feedback system for separation of clustered cells. After the segmentation is completed, the quality of the final segmentation is evaluated. By training the algorithm on a representative set of training images, the algorithm is made fully automatic for subsequent images created under similar conditions. Automatic cytoplasm segmentation was tested on CHO-cells stained with calcein. The fully automatic method showed between 89% and 97% correct segmentation as compared to manual segmentation.

    HSV kategori
    Identifikatorer
    urn:nbn:se:uu:diva-90086 (URN)12446959 (PubMedID)
    Tilgjengelig fra: 2002-12-19 Laget: 2002-12-19 Sist oppdatert: 2018-12-18
    3. Statistical quality control for segmentation of fluorescence labeled cells
    Åpne denne publikasjonen i ny fane eller vindu >>Statistical quality control for segmentation of fluorescence labeled cells
    Vise andre…
    2001 (engelsk)Inngår i: In Proceedings of the 5th Korea-Germany Joint Workshop on Advanced Medical Image Processing, Seoul, KoreaArtikkel i tidsskrift (Fagfellevurdert) Published
    Abstract
    Identifikatorer
    urn:nbn:se:uu:diva-90087 (URN)
    Tilgjengelig fra: 2002-12-19 Laget: 2002-12-19 Sist oppdatert: 2018-12-02bibliografisk kontrollert
    4. A comparison of methods for estimation of intensity nonuniformities in 2D and 3D microscope images of fluorescence stained cells
    Åpne denne publikasjonen i ny fane eller vindu >>A comparison of methods for estimation of intensity nonuniformities in 2D and 3D microscope images of fluorescence stained cells
    2001 (engelsk)Inngår i: In Proceedings of the 12th Scandinavian Conference on Image Analysis (SCIA), Bergen, Norway, s. 264-271Artikkel i tidsskrift (Fagfellevurdert) Published
    Abstract
    Identifikatorer
    urn:nbn:se:uu:diva-90088 (URN)
    Tilgjengelig fra: 2002-12-19 Laget: 2002-12-19 Sist oppdatert: 2018-12-02bibliografisk kontrollert
    5. Histogram thresholding using kernel density estimates
    Åpne denne publikasjonen i ny fane eller vindu >>Histogram thresholding using kernel density estimates
    2000 (engelsk)Inngår i: In Proceedings of the Swedish Society for Automated Image Analysis (SSAB) Symposium on Image Analysis, Halmstad, Sweden, s. 41-44Artikkel i tidsskrift (Fagfellevurdert) Published
    Abstract
    Identifikatorer
    urn:nbn:se:uu:diva-90089 (URN)
    Tilgjengelig fra: 2002-12-19 Laget: 2002-12-19 Sist oppdatert: 2018-12-02bibliografisk kontrollert
  • 306.
    Lindblad, Joakim
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Histogram thresholding using kernel density estimates2000Inngår i: Symposium on Image Analysis - SSAB 2000, 2000, s. 41-44Konferansepaper (Annet vitenskapelig)
    Abstract
  • 307.
    Lindblad, Joakim
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Histogram thresholding using kernel density estimates2000Inngår i: In Proceedings of the Swedish Society for Automated Image Analysis (SSAB) Symposium on Image Analysis, Halmstad, Sweden, s. 41-44Artikkel i tidsskrift (Fagfellevurdert)
    Abstract
  • 308.
    Lindblad, Joakim
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Perimeter and Area Estimates for Digitized Objects2001Inngår i: Swedish Society for Automated Image Analysis Symposium - SSAB 2001, ITN, Campus, 2001, s. 113-117Konferansepaper (Annet vitenskapelig)
    Abstract
  • 309.
    Lindblad, Joakim
    Uppsala universitet, Fakultetsövergripande enheter, Centrum för bildanalys. Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Surface Area Estimation of Digitized 3D Objects using Weighted Local Configurations2005Inngår i: Image and Vision Computing, Vol. 23, nr 2, s. 111-122Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    We present a method for estimating surface area of three-dimensional objects in discrete binary images. A surface area weight is assigned to each 2×2×2 configuration of voxels. The total surface area of a digital object is given by a summation of the local area contributions. Optimal area weights are derived in order to provide an unbiased estimate with minimum variance for randomly oriented digitized planar surfaces. Due to co-appearance of certain voxel combinations, the optimal solution is not uniquely defined for planar surfaces. A Monte Carlo-based optimization of the estimator performance on the distribution of digitized balls of increasing radii is performed in order to uniquely determine the optimal surface area weights. The method is further evaluated on various objects in a range of sizes. A significant reduction of the error for small objects is observed. The algorithm is appealingly simple; the use of only a small local neighborhood enables efficient implementations in hardware and/or in parallel architectures.

  • 310.
    Lindblad, Joakim
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Surface area estimation of digitized planes using weighted local configurations2003Inngår i: 11th International Conference on Discrete Geometry for Computer Imagery (DGCI), 2003, s. 348-357Konferansepaper (Fagfellevurdert)
    Abstract [en]

    We describe a method for estimating surface area of three-dimensional binary objects. The method assigns a surface area weight to each 2 × 2 × 2 configuration of voxels. The total surface area is given by a summation of the local area contributions for a

  • 311.
    Lindblad, Joakim
    Uppsala universitet, Fakultetsövergripande enheter, Centrum för bildanalys. Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Surface Volume Estimation of Digitized Hyperplanes Using Weighted Local Configurations2005Inngår i: Proceedings of Discrete Geometry for Computer Imagery, 2005, s. 252-262Konferansepaper (Fagfellevurdert)
    Abstract [en]

    We present a method for estimating the surface volume of four-dimensional objects in discrete binary images. A surface volume weight is assigned to each 2 × 2 × 2 × 2 configuration of image elements. The total surface volume of a digital 4D object is given by a summation of the local volume contributions. Optimal volume weights are derived in order to provide an unbiased estimate with minimal variance for randomly oriented digitized planar hypersurfaces. Only 14 out of 64 possible boundary configurations appear on planar hypersurfaces. We use a marching hypercubes tetrahedrization to assign surface volume weights to the non-planar cases. The correctness of the method is verified on four-dimensional balls and cubes digitized in different sizes. The algorithm is appealingly simple; the use of only a local neighbourhood enables efficient implementations in hardware and/or in parallel architectures.

  • 312.
    Lindblad, Joakim
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Bengtsson, Ewert
    A Comparison of Methods for Estimation of Intensity Non-Uniformities in 2D and 3D Microscope Images of Fluorescence Stained Cells2001Inngår i: Proceedings of the 12th Scandinavian Conference on Image Analysis (SCIA), 2001, s. 264-271Konferansepaper (Fagfellevurdert)
    Abstract [en]

    A comparison of the accuracy and robustness of different data driven methods for

  • 313.
    Lindblad, Joakim
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Bengtsson, Ewert
    A comparison of methods for estimation of intensity nonuniformities in 2D and 3D microscope images of fluorescence stained cells2001Inngår i: In Proceedings of the 12th Scandinavian Conference on Image Analysis (SCIA), Bergen, Norway, s. 264-271Artikkel i tidsskrift (Fagfellevurdert)
    Abstract
  • 314.
    Lindblad, Joakim
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys. Mathematical Institute, Serbian Academy of Sciences and Arts, Belgrade, Serbia.
    Curic, Vladimir
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys.
    Sladoje, Natasa
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys. Faculty of Technical Sciences, University of Novi Sad.
    On set distances and their application to image registration2009Inngår i: Proc. 6th International Symposium on Image and Signal Processing and Analysis, Salzburg, Austria: IEEE , 2009, s. 449-454Konferansepaper (Fagfellevurdert)
    Abstract [en]

    In this paper we study set distances that are used in image processing. We propose a generalization of Sum of minimal distances and show that its special cases include a metric by Symmetric difference. The Hausdorff metric and the Chamfer matching distances are also closely related with the presented framework. In addition, we define the Complement set distance of a given distance. We evaluate the observed distance with respect to applicability to image object registration. We perform comparative evaluations with respect to noise sensitivity, as well as with respect to rigid body transformations. We conclude that the family of Generalized sum of minimal distances has many desirable properties for this application.

  • 315.
    Lindblad, Joakim
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Lukic, Tibor
    Sladoje, Natasa
    Defuzzification by Feature Distance Minimization Based on DC Programming2007Inngår i: 5th International Symposium on Image and Signal Processing and Analysis, 2007: ISPA 2007, 2007, s. 373-378Konferansepaper (Fagfellevurdert)
    Abstract [en]

    We introduce the use of DC programming, in combination with convex-concave regularization, as a deterministic approach for solving the optimization problem imposed by defuzzification by feature distance minimization. We provide a DC based algorithm for finding a solution to the defuzzification problem by expressing the objective function as a difference of two convex functions and iteratively solving a family of DC programs. We compare the performance with the previously recommended method, simulated annealing, on a number of test images. Encouraging results, together with several advantages of the DC based method, approve use of this approach, and motivate its further exploration.

  • 316.
    Lindblad, Joakim
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Nyström, Ingela
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Surface area estimation of digitized 3D objects using local computations2002Inngår i: Proceedings of Discrete Geometry for Computer Imagery (DGCI2002), 2002, s. 267-278Konferansepaper (Fagfellevurdert)
    Abstract [en]

    We describe surface area measurements based on local estimates of isosurfaces originating from a marching cubes representation. We show how improved precision and accuracy

  • 317.
    Lindblad, Joakim
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Sladoje, Natasa
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys.
    Feature Based Defuzzification at Increased Spatial Resolution2006Inngår i: Combinatorial Image Analysis: 11th International Workshop, IWCIA 2006, 2006, s. 131-143Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Defuzzification of fuzzy spatial sets by feature distance minimization, recently proposed as an alternative to crisp segmentation, is studied further. Fully utilizing information available in a fuzzy (discrete) representation of a continuous shape, we present an improved defuzzification method, such that the crisp discrete representation of a fuzzy set is generated at an increased spatial resolution, compared to the resolution of the fuzzy set. The correspondence between a fuzzy and a crisp set is established through a distance between their representations based on selected features, where the different resolutions of the images to compare are taken into account. The performance of the method is tested on both synthetic and real images.

  • 318.
    Lindblad, Joakim
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Sladoje, Natasa
    Curic, Vladimir
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys.
    Sarve, Hamid
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys.
    Johansson, Carina B.
    Borgefors, Gunilla
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys.
    Improved Quantification of Bone Remodelling by Utilizing Fuzzy Based Segmentation2009Inngår i: Image Analysis: Proceedings SCIA 2009 / [ed] A.-B. Salberg, J. Y. Hardeberg, R. Jenssen, Berlin: Springer Verlag , 2009, s. 750-759Konferansepaper (Fagfellevurdert)
    Abstract [en]

    We present a novel fuzzy theory based method for the segmentation of images required in histomorphometrical investigations of bone implant integration. The suggested method combines discriminant analysis classification controlled by an introduced uncertainty measure, and fuzzy connectedness segmentation method, so that the former is used for automatic seeding of the later. A thorough evaluation of the proposed segmentation method is performed. Comparison with previously published automatically obtained measurements, as well as with manually obtained ones, is presented. The proposed method improves the segmentation and, consequently, the accuracy of the automatic measurements, while keeping advantages with respect to the manual ones, by being fast, repeatable, and objective.

  • 319.
    Lindblad, Joakim
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys. Mathematical Institute, Serbian Academy of Sciences and Arts, Belgrade, Serbia.
    Sladoje, Natasa
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys. Faculty of Technical Sciences, University of Novi Sad.
    Lukic, Tibor
    University of Novi Sad, Faculty of Technical Sciences.
    De-noising of SRµCT Fiber Images by Total Variation Minimization2010Inngår i: Proceedings of the 20th International Conference on Pattern Recognition (ICPR10), Istanbul, Turkey, 2010, s. 4621-4624Konferansepaper (Fagfellevurdert)
    Abstract [en]

    SRμCT images of paper and pulp fiber materials are characterized by a low signal to noise ratio. De-noising is therefore a common preprocessing step before segmentation into fiber and background components. We suggest a de-noising method based on total variation minimization using a modified Spectral Conjugate Gradient algorithm. Quantitative evaluation performed on synthetic 3D data and qualitative evaluation on real 3D paper fiber data confirm appropriateness of the suggested method for the particular application.

  • 320.
    Lindblad, Joakim
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Sladoje, Natasa
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys.
    Lukic, Tibor
    Feature Based Defuzzification in Z² and Z³ Using a Scale Space Approach2006Inngår i: Discrete Geometry for Computer Imagery 13th International Conference, DGCI 2006, Szeged, Hungary, October 25-27, 2006. Proceedings: DGCI 2006, 2006, s. 379-390Konferansepaper (Fagfellevurdert)
    Abstract [en]

    A defuzzification method based on feature distance minimization is further improved by incorporating into the distance function feature values measured on object representations at different scales. It is noticed that such an approach can improve defuzzification results by better preserving the properties of a fuzzy set; area preservation at scales in-between local (pixel-size) and global (the whole object) provides that characteristics of the fuzzy object are more appropriately exhibited in the defuzzification. For the purpose of comparing sets of different resolution, we propose a feature vector representation of a (fuzzy and crisp) set, utilizing a resolution pyramid. The distance measure is accordingly adjusted. The defuzzification method is extended to the 3D case. Illustrative examples are given.

  • 321.
    Lindblad, Joakim
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Wählby, Carolina
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Bengtsson, Ewert
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Zaltsman, Alla
    Image Analysis for Automatic Segmentation of Cytoplasms and Classification of Rac1 Activation2004Inngår i: Cytometry, ISSN 0196-4763, E-ISSN 1097-0320, Vol. 57A, nr 1, s. 22-23Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    BACKGROUND:

    Rac1 is a GTP-binding molecule involved in a wide range of cellular processes. Using digital image analysis, agonist-induced translocation of green fluorescent protein (GFP) Rac1 to the cellular membrane can be estimated quantitatively for individual cells.

    METHODS:

    A fully automatic image analysis method for cell segmentation, feature extraction, and classification of cells according to their activation, i.e., GFP-Rac1 translocation and ruffle formation at stimuli, is described. Based on training data produced by visual annotation of four image series, a statistical classifier was created.

    RESULTS:

    The results of the automatic classification were compared with results from visual inspection of the same time sequences. The automatic classification differed from the visual classification at about the same level as visual classifications performed by two different skilled professionals differed from each other. Classification of a second image set, consisting of seven image series with different concentrations of agonist, showed that the classifier could detect an increased proportion of activated cells at increased agonist concentration.

    CONCLUSIONS:

    Intracellular activities, such as ruffle formation, can be quantified by fully automatic image analysis, with an accuracy comparable to that achieved by visual inspection. This analysis can be done at a speed of hundreds of cells per second and without the subjectivity introduced by manual judgments.

  • 322.
    Lindblad, Joakim
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Wählby, Carolina
    Vondrus, Mikael
    Bengtsson, Ewert
    Björkesten, Lennart
    Statistical quality control for segmentation of fluorescence labeled cells2001Inngår i: In Proceedings of the 5th Korea-Germany Joint Workshop on Advanced Medical Image Processing, Seoul, KoreaArtikkel i tidsskrift (Fagfellevurdert)
    Abstract
  • 323.
    Lindblad, Joakim
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Wählby, Carolina
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Vondrus, Mikael
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Bengtsson, Ewert
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Björkesten, Lennart
    Statistical quality control for segmentation of fluorescence labelled cells2001Inngår i: 5th Korea-Germany Joint Workshop on Advanced Medical Image Processing, Seoul, Korea, 2001Konferansepaper (Annet vitenskapelig)
    Abstract
  • 324.
    Lindell, Tommy
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Coastal Zone Mapping of Jamaica for Planning and Management1999Inngår i: Pecora 14 Land Satellite Information III, ASPRS, Denver , 1999, s. 4-Konferansepaper (Fagfellevurdert)
    Abstract [en]

    All of Jamaica has been mapped for land-use/-cover, focusing on matters relevant for the coastal zone, applying remote sensing techniques and field inventories in a project aiming at coastal planning and management. Classification was based on Landsat TM,

  • 325.
    Lindell, Tommy
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Mapping of the coastal Zone of Jamaica1997Inngår i: Proc. fourth International Conference on Remote Sensing for Marine and Coastal Environments, ERIM, Cairo, Egypt , 1997, s. 11-Konferansepaper (Fagfellevurdert)
  • 326.
    Lindell, Tommy
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Ammenberg, Petra
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Mapping of coral bottoms from different high resolution satellite images2002Inngår i: Proc. 29th International Symposium on Remote Sensing of Environment, 2002, s. 4-Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Recent dramatic bleaching events on coral reefs have enhanced the need for global environmental monitoring. This paper investigates the value of present high spatial resolution satellites to detect coral bleaching using a change detection technique. We compared an IRS LISS-III image taken during the 1998 bleaching event in Belize to images taken before the bleaching event. The sensitivity of the sensors was investigated and a simulation was made to estimate the effect of sub-pixel changes. A manual interpretation of coral bleaching, based on differences between the images, was performed and the outcome were compared to field observations. The spectral characteristics of the pixels corresponding to the field observations and the manually interpreted bleachings have been analysed and compared to pixels from unaffected areas.

  • 327.
    Lindell, Tommy
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Philipson, Petra
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Can coral reefs be monitored from space?2003Inngår i: AMBIO, ISSN 0044-7447, Vol. 32, nr 8, s. 586-593Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The dramatic bleaching events on the coral reefs recently have enhanced the need for environmental monitoring. Remote sensing is an important constituent in a system for both local and global monitoring of reefs, and it can be an invaluable complement to field observations. This paper discusses the possibilities and limitations of present high resolution satellites for mapping and monitoring coral reefs and the need for more specific sensors for this purpose in the future. We can assume that the sensors with the best spatial and radiometric resolution available today, e.g. IKONOS, can be useful for local area mapping and for monitoring of coral bleaching, but the cost for those images makes it difficult to use them in global surveys. However, our present coral bleaching studies indicate that massive bleaching could be detected even from satellites with lower resolution, like Landsat, SPOT and IRS, and be used for coarser global mapping and for updating purposes. To monitor in more detail what is happening requires both good spatial resolution and better spectral resolution than the one available in the sensors mentioned above. In the future, it is necessary to have a more reef specific sensor with a few specially selected narrow bands and a good spatial, radiometric and temporal resolution.

  • 328.
    Lindell, Tommy
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Philipson, Petra
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    National classification of Swedish shoreline types, from Landsat-7 data2004Inngår i: Proc. 12th Australasian Remote Sensing and Photogrammetry Conference, 2004, s. 8-Konferansepaper (Annet vitenskapelig)
  • 329.
    Lindell, Tommy
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys.
    Philipsson, Petra
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys.
    Categorization of coral reef bottoms for change detection using IKONOS2003Inngår i: Proceedings of the 30th International Symposium on Remote Sensing of Environment, Honolulu, Hawaii, USA, November 10-14, 2003, 2003Konferansepaper (Annet vitenskapelig)
  • 330.
    Lindell, Tommy
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Pierson, Don
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Biologiska sektionen, Institutionen för evolutionsbiologi.
    Premazzi, G
    Manual for Monitoring European Lakes using Remote Sensing Techniques1999Bok (Annet vitenskapelig)
    Abstract [en]

    A complete manual on lake monitoring from remote sensing, including limnological, water optics and remote sensing techniques.

  • 331.
    Lindgård, A.
    et al.
    Uppsala universitet, Fakultetsövergripande enheter, Centrum för bildanalys. Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Rakotonirainy, O.
    Högberg, A.
    Ballerini, L.
    Lundström, K.
    Borgefors, G.
    Bylund, A.-C.
    Soussi, B.
    A novel method for quantitative fat analysis in meat by in vivo MRI2000Inngår i: 17th Annual Meeting of the European Society for Magnetic Resonance in Medicine and Biology, Paris, France, 2000Konferansepaper (Annet vitenskapelig)
  • 332. Lindkvist, Mikael
    et al.
    Seipel, Stefan
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi. Fakultetsövergripande enheter, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Människa-datorinteraktion. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys. Människa-datorinteraktion.
    Methods and application of interactive 3D computer graphics in antropology: Technical Report 2002-002, Dept of Information Technology2002Rapport (Annet (populærvitenskap, debatt, mm))
  • 333. Linh, Troung Kieu
    et al.
    Imiya, Atsushi
    Strand, Robin
    Uppsala universitet, Fakultetsövergripande enheter, Centrum för bildanalys. Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Borgefors, Gunilla
    Uppsala universitet, Fakultetsövergripande enheter, Centrum för bildanalys. Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Supercover of Non-square and Non-cubic Grids2004Inngår i: Proc. 10th International Workshop on Combinatorial Image Analysis (IWCIA 2004): Auckland, New Zealand, Dec. 2004, 2004, s. 88-97Konferansepaper (Fagfellevurdert)
    Abstract [en]

    We define algebraic discrete geometry of hexagonal- and rhombic-dodecahedral- grids on a plane in a space, respectively. Since, a hexagon and a rhombic-dodecahedron are elements for tilling on a plane and in a space, respectively, a hexagon and a rhombic-dodecahedron are suitable as elements of discrete objects on a plane and in a space, respectively. For the description of linear objects in a discrete space, algebraic discrete geometry provides a unified treatment employing double Diophantus equations. In this paper, we introduce supercove for the hexagonal- and rhombic-dodecahedral- grid-systems on a plane and in a space, respectively.

  • 334.
    Liu, Jing-Xia
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för neurovetenskap, Klinisk neurofysiologi.
    Höglund, Anna-Stina
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för neurovetenskap, Klinisk neurofysiologi.
    Karlsson, Patrick
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Lindblad, Joakim
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Qaisar, Rizwan
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för neurovetenskap, Klinisk neurofysiologi.
    Aare, Sudhakar
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för neurovetenskap, Klinisk neurofysiologi.
    Bengtsson, Ewert
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Larsson, Lars
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för neurovetenskap, Klinisk neurofysiologi.
    Myonuclear domain size and myosin isoform expression in muscle fibres from mammals representing a 100 000-fold difference in body size2009Inngår i: Experimental Physiology, ISSN 0958-0670, E-ISSN 1469-445X, Vol. 94, nr 1, s. 117-129Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    This comparative study of myonuclear domain (MND) size in mammalian species representing a 100 000-fold difference in body mass, ranging from 25 g to 2500 kg, was undertaken to improve our understanding of myonuclear organization in skeletal muscle fibres. Myonuclear domain size was calculated from three-dimensional reconstructions in a total of 235 single muscle fibre segments at a fixed sarcomere length. Irrespective of species, the largest MND size was observed in muscle fibres expressing fast myosin heavy chain (MyHC) isoforms, but in the two smallest mammalian species studied (mouse and rat), MND size was not larger in the fast-twitch fibres expressing the IIA MyHC isofom than in the slow-twitch type I fibres. In the larger mammals, the type I fibres always had the smallest average MND size, but contrary to mouse and rat muscles, type IIA fibres had lower mitochondrial enzyme activities than type I fibres. Myonuclear domain size was highly dependent on body mass in the two muscle fibre types expressed in all species, i.e. types I and IIA. Myonuclear domain size increased in muscle fibres expressing both the β/slow (type I; r= 0.84, P < 0.001) and the fast IIA MyHC isoform (r= 0.90; P < 0.001). Thus, MND size scales with body size and is highly dependent on muscle fibre type, independent of species. However, myosin isoform expression is not the sole protein determining MND size, and other protein systems, such as mitochondrial proteins, may be equally or more important determinants of MND size.

  • 335. Ljungvall, K
    et al.
    Karlsson Edlund, Patrick
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys.
    Hultén, F.
    Madej, A.
    Norrgren, L.
    Einarsson, S.
    Rodriguez-Martinez, H.
    Magnusson, U.
    Delayed effects on plasma concentration of testosterone and testicular morphology by intramuscular low-dose di(2-ethylhexyl)phthalate or oestradiol benzoate in the prepubertal boar2005Inngår i: Theriogenology, ISSN 0093-691X, E-ISSN 1879-3231, Vol. 64, nr 5, s. 1170-1184Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The immediate and delayed effects of prepubertal exposure to di(2-ethylhexyl)phthalate (DEHP) or oestradiol benzoate on the plasma concentrations of testosterone, oestradiol and LH, as well as testicular morphology were examined in prepubertal boars. In a split litter design experiment, prepubertal boars were intramuscularly exposed to DEHP, oestradiol or vehicle during five weeks, starting at six weeks of age. The dose of DEHP was 50 mg/kg of bodyweight twice weekly, which is in the same range as recently used oral doses in rodents. Oestradiol-benzoate was administered at 0.25 mg/kg of bodyweight twice weekly. One set of animals was examined immediately after the exposure, and the other set was examined at an age of 7.5 months. During the exposure period concentrations of LH in plasma were lower (p = 0.02) in the oestradiol-treated animals than in the control group. In the group exposed to oestradiol, the relative to the body weight of the testicles tended to be lower (p = 0.07) than control immediately after five weeks of exposure, and the relative to the body weight of the seminal vesicles tended to be lower (p = 0.05) than control at 7.5 months of age. In the DEHP-exposed group an elevated (p = 0.005) concentration of testosterone and increased (p = 0.04) area of the Leydig cells in the testicles compared to the control group were seen at 7.5 months of age. These data suggest that DEHP early in life causes delayed effects on the reproductive system in the adult.

  • 336. Loughlin, Maria
    et al.
    Carlbom, Ingrid
    Busch, Christer
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för genetik och patologi.
    Douglas, Thomas
    Egevad, Lars
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för genetik och patologi.
    Frimmel, Hans
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Norberg, Mona
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för onkologi, radiologi och klinisk immunologi, Enheten för radiologi.
    Sesterhenn, Isabell
    Frogge, James M.
    Three-dimensional modeling of biopsy protocols for localized prostate cancer1998Inngår i: Computerized Medical Imaging and Graphics, ISSN 0895-6111, E-ISSN 1879-0771, Vol. 22, s. 229-238Artikkel i tidsskrift (Fagfellevurdert)
  • 337.
    Luengo Hendriks, Cris L.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys.
    Constrained and Dimensionality-Independent Path Openings2010Inngår i: IEEE Transactions on Image Processing, ISSN 1057-7149, E-ISSN 1941-0042, Vol. 19, nr 6, s. 1587-1595Artikkel i tidsskrift (Fagfellevurdert)
  • 338.
    Luengo Hendriks, Cris L.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys.
    Path openings and their applications2010Inngår i: Proceedings SSBA 2010: Symposium on Image Analysis / [ed] C.L. Luengo Hendriks and M. Gavrilovic, Uppsala: Centre for Image Analysis , 2010, s. 79-82Konferansepaper (Annet vitenskapelig)
  • 339.
    Luengo Hendriks, Cris L.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys.
    Revisiting priority queues for image analysis2010Inngår i: Pattern Recognition, ISSN 0031-3203, E-ISSN 1873-5142, Vol. 43, nr 9, s. 3003-3012Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Many algorithms in image analysis require a priority queue, a data structure that holds pointers to pixels in the image, and which allows efficiently finding the pixel in the queue with the highest priority. However, very few articles describing such image analysis algorithms specify which implementation of the priority queue was used. Many assessments of priority queues can be found in the literature, but mostly in the context of numerical simulation rather than image analysis. Furthermore, due to the ever-changing characteristics of computing hardware, performance evaluated empirically 10 years ago is no longer relevant. In this paper I revisit priority queues as used in image analysis routines, evaluate their performance in a very general setting, and come to a very different conclusion than other authors: implicit heaps are the most efficient priority queues. At the same time. I propose a simple modification of the hierarchical queue (or bucket queue) that is more efficient than the implicit heap for extremely large queues.

  • 340.
    Luengo Hendriks, Cris L.
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys.
    Gavrilovic, MilanUppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys.
    Proceedings SSBA 2010: Symposium on Image Analysis2010Konferanseproceedings (Annet vitenskapelig)
  • 341.
    Lukic, Tibor
    et al.
    University of Novi Sad, Faculty of Engineering.
    Sladoje, Natasa
    University of Novi Sad, Faculty of Engineering.
    Lindblad, Joakim
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Deterministic Defuzzification based on Spectral Projected Gradient Optimization2008Inngår i: 30th Symposium of the German Association for Pattern Recognition (DAGM), Berlin / Heidelberg: Springer , 2008, s. 476-485Konferansepaper (Fagfellevurdert)
    Abstract [en]

    We apply deterministic optimization based on Spectral Projected Gradient method in combination with concave regularization to solve the minimization problem imposed by defuzzification by feature distance minimization. We compare the performance of the proposed algorithm with the methods previously recommended for the same task, (non-deterministic) simulated annealing and (deterministic) DC based algorithm. The evaluation, including numerical tests performed on synthetic and real images, shows advantages of the new method in terms of speed and flexibility regarding inclusion of additional features in defuzzification. Its relatively low memory requirements allow the application of the suggested method for defuzzification of 3D objects.

  • 342.
    Lundqvist, R.
    et al.
    Uppsala universitet, Fakultetsövergripande enheter, Centrum för bildanalys. Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Barnden, L.
    Som, S.
    Bengtsson, E.
    Thurfjell, L.
    An Evaluative Study of Simulated Annealing Based MRI-SPECT Brain ScanRegistration2001Konferansepaper (Fagfellevurdert)
    Abstract [en]

    The goal of this work was to evaluate if simulated annealing optimisation

  • 343.
    Lundqvist, R
    et al.
    Uppsala universitet, Fakultetsövergripande enheter, Centrum för bildanalys. Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Soderman, M
    Ericson, K
    Bengtsson, E
    Thurfjell, L
    Development of a computer program for volume estimation of arteriovenous malformations from biplane DSA images2000Inngår i: MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2000, ISSN 0302-9743, Vol. 1935, s. 746-755Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The goal of this work was to develop a computer program for accurate estimation of size and location of intracranial arteriovenous malformations (AVM) from biplane digital subtraction angiography (DSA) images. The program will be used for diagnostic purpo

  • 344.
    Lundqvist, R
    et al.
    Uppsala universitet, Fakultetsövergripande enheter, Centrum för bildanalys. Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Som, S
    Bengtsson, E
    Thurfjell, L
    Inter-individual SPECT brain scan registration based on a combined intensity and gradient similarity criterion2001Annet (Annet vitenskapelig)
  • 345.
    Lundqvist, Roger
    Uppsala universitet, Fakultetsövergripande enheter, Centrum för bildanalys.
    Atlas-Based Fusion of Medical Brain Images: Methods and Applications2001Doktoravhandling, med artikler (Annet vitenskapelig)
    Abstract [en]

    This thesis focuses on the development of methods for fusion of information from medical brain scans. The concept of medical image fusion refers to the process of extracting and utilising information from several scans simultaneously in the analysis and diagnosis of patients.

    One very important part of the fusion process is the image registration, which is used to find a mapping or transformation of points from one image to the corresponding points in another image. This can, for example, be used to correct for relative movements between patient examinations, thus, making direct comparisons between different scans possible. Furthermore, the registration can be used to map images from different individuals into a common standard anatomy. This is important, since it enables comparisons between the individuals and also between whole groups of individuals. In the thesis, both methods to be used for registration between scans from the same individual and for scans from different individuals are presented.

    Another part of the thesis is directed towards analysis of brain scans. Most of the methods are based on a computerised brain atlas, which defines a standardised mapping of the brain into sub-regions. These regions are either anatomical or functional and can be used for a more detailed analysis of the brain scan. The presented methods cover general methods for comparisons of single patients with groups of individuals, methods for feature calculations from brain atlas defined regions, and methods for extraction of more advanced features for automatic classification of brain scans.

    Furthermore, image visualisation is always an important part in medical imaging. This is because the constantly increasing amount of medical information demands more advanced visualisation techniques to enhance and aid the interpretation of the data. The methods presented in this thesis are focused on combined visualisation of multiple brain scans, which is useful when scans expressing different types of information are available. For instance, a combined visualisation can be helpful to detect anatomical regions of specific functional importance in the brain.

  • 346.
    Lundqvist, Roger
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Bengtsson, Ewert
    Jacobsson, H
    Jonsson, C
    Larsson, S
    Pagani, M
    Wägner, M
    Thurfjell, Lennart
    Classification of Functional Patterns in SPECT Brain Scans Based on Partial Least Squares Analysis1999Inngår i: Proceedings of SCIA'99, Pattern Recognition Society of Denmark, Lyngby , 1999, s. 375-381Konferansepaper (Fagfellevurdert)
    Abstract [en]

    The main purpose of this paper is to show the potential of the partial least squares (PLS) method for finding image descriptors which can be used for classification of clinical single photon emission computed tomography SPECT neuroimaging data. In this ar

  • 347.
    Lundqvist Roger, Bengtsson Ewert, Thurfjell Lennart
    Uppsala universitet, Fakultetsövergripande enheter, Centrum för bildanalys. Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    A combined Intensity and Gradient-Based Similarity Criterion for Interindividual SPECT Brain Scan Registration2003Inngår i: EURASIP Journal on Applied Signal Processing, Vol. 2003, nr 5, s. 461-469Artikkel i tidsskrift (Fagfellevurdert)
  • 348.
    Malm, Patrik
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys.
    Brun, Anders
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys.
    Bengtsson, Ewert
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys.
    PAPSYNTH: Simulated Bright-field Images of Cervical Smears2010Inngår i: 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010Konferansepaper (Fagfellevurdert)
    Abstract [en]

    In this paper, we present a simulator for bright-field microscope imagesof ”Pap-smears”, which is the most common technique usedtoday for cervical cancer screening. Lacking a ground truth for realimages, these realistic synthetic images may be used to tune and validateimage analysis and processing algorithms. We demonstrate thisfor two tasks: uncorrelated noise removal and nucleus segmentation.The simulator is a part of a larger project, aiming at automatic, costefficient screening for cervical cancer in developing countries.In this paper, we present a simulator for bright-field microscope imagesof ”Pap-smears”, which is the most common technique usedtoday for cervical cancer screening. Lacking a ground truth for realimages, these realistic synthetic images may be used to tune and validateimage analysis and processing algorithms. We demonstrate thisfor two tasks: uncorrelated noise removal and nucleus segmentation.The simulator is a part of a larger project, aiming at automatic, costefficient screening for cervical cancer in developing countries.

  • 349.
    Malmberg, Filip
    Uppsala universitet, Fakultetsövergripande enheter, Centrum för bildanalys.
    Segmentation and Analysis of Volume Images, with Applications2008Licentiatavhandling, med artikler (Annet vitenskapelig)
    Abstract [en]

    Digital image analysis is the field of extracting relevant information from digital images. Recent developments in imaging techniques have made 3-dimensional volume images more common. This has created a need to extend existing 2D image analysis tools to handle images of higher dimensions. Such extensions are usually not straightforward. In many cases, the theoretical and computational complexity of a problem increases dramatically when an extra dimension is added.

    A fundamental problem in image analysis is image segmentation, i.e., identifying and separating relevant objects and structures in an image. Accurate segmentation is often required for further processing and analysis of the image can be applied. Despite years of active research, general image segmentation is still seen as an unsolved problem. This mainly due to the fact that it is hard to identify objects from image data only. Often, some high-level knowledge about the objects in the image is needed. This high-level knowledge may be provided in different ways. For fully automatic segmentation, the high-level knowledge must be incorporated in the segmentation algorithm itself. In interactive applications, a human user may provide high-level knowledge by guiding the segmentation process in various ways.

    The aim of the work presented here is to develop segmentation and analysistools for volume images. To limit the scope, the focus has been on two specic capplications of volume image analysis: analysis of volume images of fibrousmaterials and interactive segmentation of medical images. The respective image analysis challenges of these two applications will be discussed. While the work has been focused on these two applications, many of the results presented here are applicable to other image analysis problems.

  • 350.
    Malmberg, Filip
    et al.
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys. Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datoriserad bildanalys.
    Lindblad, Joakim
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys.
    Nyström, Ingela
    Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Centrum för bildanalys.
    Sub-pixel Segmentation with the Image Foresting Transform2009Inngår i: Proceedings of International Workshop on Combinatorial Image Analysis: IWCIA 2009, Springer , 2009, s. 201-211Konferansepaper (Fagfellevurdert)
    Abstract [en]

    The Image Foresting Transform (IFT) is a framework forimage partitioning, commonly used for interactive segmentation. Givenan image where a subset of the image elements (seed-points) have beenassigned user-defined labels, the IFT completes the labeling by computingminimal cost paths from all image elements to the seed-points. Eachimage element is then given the same label as the closest seed-point. Inits original form, the IFT produces crisp segmentations, i.e., each imageelement is assigned the label of exactly one seed-point. Here, we proposea modified version of the IFT that computes region boundaries withsub-pixel precision by allowing mixed labels at region boundaries. Wedemonstrate that the proposed sub-pixel IFT allows properties of thesegmented object to be measured with higher precision.

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