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Using anti-aliased signed distance fields for generating surgical guides and plates from CT images
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.
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.
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.
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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2017 (English)In: Journal of WSCG, ISSN 1213-6972, E-ISSN 1213-6964, Vol. 25, no 1, p. 11-20Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2017. Vol. 25, no 1, p. 11-20
National Category
Medical Image Processing
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-335346OAI: oai:DiVA.org:uu-335346DiVA, id: diva2:1162493
Available from: 2017-12-04 Created: 2017-12-04 Last updated: 2020-01-23Bibliographically approved
In thesis
1. Modeling and Visualization for Virtual Interaction with Medical Image Data
Open this publication in new window or tab >>Modeling and Visualization for Virtual Interaction with Medical Image Data
2020 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Interactive systems for exploring and analysing medical three dimensional (3D) volume image data using techniques such as stereoscopic rendering and haptics can lead to new workflows for virtual surgery planning. This includes the design of patient-specific surgical guides and plates for additive manufacturing (3D printing). Our applications, medical visualization and cranio-maxillofacial surgery planning, involve large volume data such as computed tomo\-graphy (CT) images with millions of data points. This motivates the development of fast and efficient methods for visualization and haptic rendering, as well as the development of efficient modeling techniques for simplifying the design of 3D printable parts. In this thesis, we develop methods for visualization and haptic rendering of isosurfaces in volume image data, and show applications of these methods to medical visualization and virtual surgery planning. We further develop methods for modeling surgical guides and plates for cranio-maxillofacial surgery, and integrate them into our system for haptics-assisted surgery planning called HASP. This system is now installed at the department of surgical sciences, Uppsala University, and is being evaluated for use in clinical research.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2020. p. 50
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 1898
Keywords
medical image processing, volume rendering, haptic rendering, medical visualization, virtual surgery planning
National Category
Computer Sciences Medical Image Processing
Research subject
Computerized Image Processing
Identifiers
urn:nbn:se:uu:diva-403104 (URN)978-91-513-0864-7 (ISBN)
Public defence
2020-03-13, ITC 2446, Lägerhyddsvägen 2, Hus 2, Polacksbacken, Uppsala, 10:15 (English)
Opponent
Supervisors
Available from: 2020-02-19 Created: 2020-01-23 Last updated: 2020-02-19

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Nysjö, FredrikOlsson, PontusMalmberg, FilipNyström, Ingela

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