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Shape and volume of craniofacial cavities in intentional skull deformations
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
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2013 (English)In: American Journal of Physical Anthropology, ISSN 0002-9483, E-ISSN 1096-8644, Vol. 151, no 1, 110-119 p.Article in journal (Refereed) Published
Abstract [en]

Intentional cranial deformations (ICD) have been observed worldwide but are especially prevalent in preColombian cultures. The purpose of this study was to assess the consequences of ICD on three cranial cavities (intracranial cavity, orbits, and maxillary sinuses) and on cranial vault thickness, in order to screen for morphological changes due to the external constraints exerted by the deformation device. We acquired CT-scans for 39 deformed and 19 control skulls. We studied the thickness of the skull vault using qualitative and quantitative methods. We computed the volumes of the orbits, of the maxillary sinuses, and of the intracranial cavity using haptic-aided semi-automatic segmentation. We finally defined 3D distances and angles within orbits and maxillary sinuses based on 27 anatomical landmarks and measured these features on the 58 skulls. Our results show specific bone thickness patterns in some types of ICD, with localized thinning in regions subjected to increased pressure and thickening in other regions. Our findings confirm that volumes of the cranial cavities are not affected by ICDs but that the shapes of the orbits and of the maxillary sinuses are modified in circumferential deformations. We conclude that ICDs can modify the shape of the cranial cavities and the thickness of their walls but conserve their volumes. These results provide new insights into the morphological effects associated with ICDs and call for similar investigations in subjects with deformational plagiocephalies and craniosynostoses.

Place, publisher, year, edition, pages
2013. Vol. 151, no 1, 110-119 p.
National Category
Surgery Medical Image Processing
URN: urn:nbn:se:uu:diva-198978DOI: 10.1002/ajpa.22263ISI: 000318040200011PubMedID: 23553676OAI: oai:DiVA.org:uu-198978DiVA: diva2:618836
Available from: 2013-04-30 Created: 2013-04-30 Last updated: 2016-09-06Bibliographically approved
In thesis
1. Interactive 3D Image Analysis for Cranio-Maxillofacial Surgery Planning and Orthopedic Applications
Open this publication in new window or tab >>Interactive 3D Image Analysis for Cranio-Maxillofacial Surgery Planning and Orthopedic Applications
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Modern medical imaging devices are able to generate highly detailed three-dimensional (3D) images of the skeleton. Computerized image processing and analysis methods, combined with real-time volume visualization techniques, can greatly facilitate the interpretation of such images and are increasingly used in surgical planning to aid reconstruction of the skeleton after trauma or disease. Two key challenges are to accurately separate (segment) bone structures or cavities of interest from the rest of the image and to interact with the 3D data in an efficient way. This thesis presents efficient and precise interactive methods for segmenting, visualizing, and analysing 3D computed tomography (CT) images of the skeleton. The methods are validated on real CT datasets and are primarily intended to support planning and evaluation of cranio-maxillofacial (CMF) and orthopedic surgery.

Two interactive methods for segmenting the orbit (eye-socket) are introduced. The first method implements a deformable model that is guided and fitted to the orbit via haptic 3D interaction, whereas the second method implements a user-steered volumetric brush that uses distance and gradient information to find exact object boundaries.

The thesis also presents a semi-automatic method for measuring 3D angulation changes in wrist fractures. The fractured bone is extracted with interactive mesh segmentation, and the angulation is determined with a technique based on surface registration and RANSAC.

Lastly, the thesis presents an interactive and intuitive tool for segmenting individual bones and bone fragments. This type of segmentation is essential for virtual surgery planning, but takes several hours to perform with conventional manual methods. The presented tool combines GPU-accelerated random walks segmentation with direct volume rendering and interactive 3D texture painting to enable quick marking and separation of bone structures. It enables the user to produce an accurate segmentation within a few minutes, thereby removing a major bottleneck in the planning procedure.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2016. 58 p.
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 1411
medical image analysis, interactive segmentation, volume rendering, computed tomography
National Category
Computer Science Medical Image Processing
Research subject
Computerized Image Processing
urn:nbn:se:uu:diva-301180 (URN)978-91-554-9668-5 (ISBN)
External cooperation:
Public defence
2016-09-30, ITC 2446, Lägerhyddsvägen 2, Uppsala, 10:15 (English)
Available from: 2016-09-09 Created: 2016-08-19 Last updated: 2016-09-13

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Nysjö, JohanMalmberg, FilipNyström, IngelaMesso, EliasHirsch, Jan M
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Division of Visual Information and InteractionComputerized Image Analysis and Human-Computer InteractionOral and Maxillofacial Surgery
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American Journal of Physical Anthropology
SurgeryMedical Image Processing

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