uu.seUppsala University Publications
Change search
Link to record
Permanent link

Direct link
BETA
Vidholm, Erik
Publications (10 of 12) Show all publications
Vidholm, E., Malmberg, F., Nyström, I. & Bengtsson, E. (2008). A toolkit for interactive medical image visualization and segmentation with haptics.
Open this publication in new window or tab >>A toolkit for interactive medical image visualization and segmentation with haptics
2008 (English)Manuscript (preprint) (Other academic)
Identifiers
urn:nbn:se:uu:diva-96645 (URN)
Available from: 2008-01-18 Created: 2008-01-18 Last updated: 2017-02-08Bibliographically approved
Vidholm, E. & Nyström, I. (2007). Haptic interaction with deformable models for 3D liver segmentation. In: Proceedings of MICCAI Workshop: Interaction in Medical Image Analysis and Visualization 2007. Paper presented at Brisbane, 2007 (pp. 41-48).
Open this publication in new window or tab >>Haptic interaction with deformable models for 3D liver segmentation
2007 (English)In: Proceedings of MICCAI Workshop: Interaction in Medical Image Analysis and Visualization 2007, 2007, p. 41-48Conference paper, Published paper (Refereed)
Abstract [en]

We present a tool for interactive 3D liver segmentation using deformable surface models represented by simplex meshes. The interaction is performed directly in 3D with a haptic device. We use volume haptics to convey information about the volumetric data used for external force computations. This helps us to better understand the data and adjust the deformation weights. It is also possible to interact directly with the mesh during deformation. By pointing the haptic probe like a “torch” at the mesh, vertices and faces in a user specified neighbourhood are selected and forces can be applied to the selected sub-mesh only. We performed an experiment where 10 segmentations of the liver from CT data was performed. The segmentation results show high sensitivity and

specificity when compared to manual delineations made by a radiologist.

Keywords
segmentation, haptics, visualization
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:uu:diva-12682 (URN)
Conference
Brisbane, 2007
Available from: 2008-01-09 Created: 2008-01-09 Last updated: 2018-01-12Bibliographically approved
Vidholm, E. (2007). Haptic interaction with deformable simplex meshes for 3D segmentation. In: Swedish symposium on image analysis (SSBA) (pp. 1-4).
Open this publication in new window or tab >>Haptic interaction with deformable simplex meshes for 3D segmentation
2007 (English)In: Swedish symposium on image analysis (SSBA), 2007, p. 1-4Conference paper, Published paper (Other scientific)
Abstract [en]

We present a tool for interactive 3D segmentation using deformable

surfaces represented by simplex meshes. The interaction is performed directly in 3D with a haptic device. Haptic feedback is generated from image data in order to provide the user with information that can facilitate tuning of model parameters. It is also possible to directly interact with the mesh by grabbing vertices and move them in order to initialize the model properly or guide it during deformation.

Keywords
Volume haptics, medical images, visualization
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:uu:diva-12684 (URN)
Available from: 2008-01-09 Created: 2008-01-09 Last updated: 2018-01-12
Vidholm, E., Mehnert, A., Bengtsson, E., Wildermoth, M., McMahon, K., Wilson, S. & Crozier, S. (2007). Hardware-accelerated volume visualisation of parametrically mapped dynamic breast MRI data. In: MICCAI 2007: Workshop on Interaction in medical image analysis and visualization (pp. 33-40).
Open this publication in new window or tab >>Hardware-accelerated volume visualisation of parametrically mapped dynamic breast MRI data
Show others...
2007 (English)In: MICCAI 2007: Workshop on Interaction in medical image analysis and visualization, 2007, p. 33-40Conference paper, Published paper (Refereed)
Abstract [en]

We present a new approach to visualising parametric volumes obtained in voxel-wise model fitting of dynamic contrast-enhanced

(DCE) MRI data of the breast. The visualisation makes use of hardware accelerated rendering to obtain an interactive, 3D colour-correct maximum intensity projection (MIP). The method has been realised in software that permits the user to not only interactively visualise the parametric volume but also to delineate 3D regions of interest using a 2D slicewise interface. Experimental results, based on 14 DCE-MRI data sets from routine clinical practice, show that using the visualisation/tracing tool a medically qualified operator can achieve the same sensitivity for the detection of malignancy as a radiologist using conventional manual interpretation, but with better specificity. The results demonstrate that the visualisation methodology/software has potential as a tool for assisting the radiologist with the task of interpreting 4D DCE-MRI data in the routine clinical setting.

Keywords
visualization, breast imaging, mri
Identifiers
urn:nbn:se:uu:diva-12683 (URN)
Available from: 2008-01-09 Created: 2008-01-09 Last updated: 2017-02-08
Malmberg, F., Vidholm, E. & Nyström, I. (2006). A 3D live-wire segmentation method for volume images using haptic interaction. In: DISCRETE GEOMETRY FOR COMPUTER IMAGERY, PROCEEDINGS 4245 (pp. 663-673).
Open this publication in new window or tab >>A 3D live-wire segmentation method for volume images using haptic interaction
2006 (English)In: DISCRETE GEOMETRY FOR COMPUTER IMAGERY, PROCEEDINGS 4245, 2006, p. 663-673Conference paper, Published paper (Refereed)
Abstract [en]

Designing interactive segmentation methods for digital volume images is difficult, mainly because efficient 3D interaction is much

harder to achieve than interaction with 2D images. To overcome this issue, we use a system that combines stereo graphics and haptics to facilitate efficient 3D interaction. We propose a new method, based on the 2D live-wire method, for segmenting volume images. Our method consists of two parts: an interface for drawing 3D live-wire curves onto the boundary of an object in a volume image, and an algorithm for connecting two such curves to create a discrete surface.

Identifiers
urn:nbn:se:uu:diva-19901 (URN)0302-9743 (ISBN)
Available from: 2006-12-04 Created: 2006-12-04 Last updated: 2011-05-05
Vidholm, E., Sundqvist, P. & Nyström, I. (2006). Accelerating the Computation of 3D Gradient Vector Flow Fields. In: Proc: (pp. 677-680). IEEE
Open this publication in new window or tab >>Accelerating the Computation of 3D Gradient Vector Flow Fields
2006 (English)In: Proc, IEEE , 2006, p. 677-680Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2006
Series
International Conference on Pattern Recognition ; 2006:3
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:uu:diva-19897 (URN)10.1109/ICPR.2006.200 (DOI)000240705600162 ()0-7695-2521-0 (ISBN)
Available from: 2007-08-11 Created: 2007-08-11 Last updated: 2018-01-12Bibliographically approved
Vidholm, E., Nilsson, S. & Nyström, I. (2006). Fast and robust semi-automatic liver segmentation with haptic interaction. In: MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2006, PROCEEDINGS 4191 (pp. 774-781).
Open this publication in new window or tab >>Fast and robust semi-automatic liver segmentation with haptic interaction
2006 (English)In: MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2006, PROCEEDINGS 4191, 2006, p. 774-781Conference paper, Published paper (Refereed)
Abstract [en]

We present a method for semi-automatic segmentation of the liver from CT scans. True 3D interaction with haptic feedback is used to facilitate initialization, i.e., seeding of a fast marching algorithm. Four users initialized 52 datasets and the mean interaction time was 40 seconds. The segmentation accuracy was verified by a radiologist. Volume measurements and segmentation precision show that the method has a high reproducibility.

National Category
Engineering and Technology
Identifiers
urn:nbn:se:uu:diva-19899 (URN)3-540-44727-X (ISBN)
Available from: 2006-12-04 Created: 2006-12-04 Last updated: 2010-09-17Bibliographically approved
Vidholm, E. & Nyström, I. (2005). A haptic interaction technique for volume images based on gradient diffusion. In: World Haptics Conference (pp. 336-341).
Open this publication in new window or tab >>A haptic interaction technique for volume images based on gradient diffusion
2005 (English)In: World Haptics Conference, 2005, p. 336-341Conference paper, Published paper (Refereed)
Abstract [en]

The manual step in semi-automatic segmentation of medical volume images typically involves initialization procedures such as placement of seed-points or positioning of surface models inside the object to be segmented. The initialization is then used as input to an automatic algorithm. We investigate how such initialization tasks can be facilitated by using haptic feedback. This paper describes a haptic interaction technique based on gradient vector flow (GVF) that allows a user to feel object boundaries while still being centered inside the object. Our method is not limited to elongated structures, which is a common restriction for other approaches. Initial tests of the method shows encouraging results for differently shaped objects.

Identifiers
urn:nbn:se:uu:diva-74970 (URN)0-7695-2310-2 (ISBN)
Available from: 2005-12-20 Created: 2005-12-20
Vidholm, E. & Nyström, I. (2005). Haptic volume rendering based on gradient vector flow. In: Proceedings of SSBA (Swedish Society for Automated Image Analysis) Symposium on Image Analysis, Malmö, Sweden (pp. 97-100).
Open this publication in new window or tab >>Haptic volume rendering based on gradient vector flow
2005 (English)In: Proceedings of SSBA (Swedish Society for Automated Image Analysis) Symposium on Image Analysis, Malmö, Sweden, 2005, p. 97-100Conference paper, Published paper (Other academic)
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:uu:diva-74972 (URN)
Available from: 2005-12-20 Created: 2005-12-20 Last updated: 2018-01-14Bibliographically approved
Vidholm, E. & Agmund, J. (2004). Fast surface rendering for interactive medical image segmentation with haptic feedback. In: Proceedings of SIGRAD 2004: Special theme - Environmental visualization.
Open this publication in new window or tab >>Fast surface rendering for interactive medical image segmentation with haptic feedback
2004 (English)In: Proceedings of SIGRAD 2004: Special theme - Environmental visualization, 2004Conference paper, Published paper (Refereed)
Abstract [en]

In this work, we present a haptic-enabled application

for interactive editing in medical

image segmentation. We use a fast surface rendering algorithm to

display the different segmented objects, and we apply a

proxy-based volume haptics algorithm to be able to touch and edit these

objects at interactive rates. As an application example,

we show how the system can be used to initialize a fast marching

segmentation algorithm for extracting the liver in magnetic resonance (MR)

images and then edit the result if it is incorrect.

Keywords
marching cubes, surface tracking, volume haptics
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:uu:diva-67768 (URN)
Available from: 2005-05-23 Created: 2005-05-23 Last updated: 2018-01-10
Organisations

Search in DiVA

Show all publications