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Signed Distance Fields for Modeling 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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2016 (English)In: Proc, Swedish Symposium on Image Analysis: SSBA 2016, 2016Conference paper (Other academic)
Abstract [en]

User-friendly virtual surgery planning(VSP) systems for reconstructive surgery, such as cranio-maxillofacial (CMF) surgery, that can be used by the surgeons themselves without help of a technician have the potential to shorten the pre-operative planning from days to hours. An important part of such systems is the design of surgical guides and plates for osteosynthesis. We describe a method for generating surgical guide and plate models from computed tomography (CT) images, using signed distance fields and constructive solidgeometry (CSG). We implement the method as an extension to our Haptics-Assisted Surgery Plan-ning (HASP) system that enables a user to quickly design guide and plate models with stereo graphics and haptic feedback. We find that surgical guide and plate models can be efficiently generated from segmented CT images with our method. We also find that an anti-aliased distance transform can improve the accuracy and precision of the modelingin this application.

Place, publisher, year, edition, pages
2016.
Keyword [en]
3D modeling, patient-specific implants, CT, signed distance fields, constructive solid geometry
National Category
Medical Image Processing
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-309767OAI: oai:DiVA.org:uu-309767DiVA: diva2:1052911
Conference
SSBA 2016
Available from: 2016-12-07 Created: 2016-12-07 Last updated: 2016-12-21

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Nysjö, FredrikOlsson, PontusMalmberg, FilipCarlbom, Ingrid B.Nyström, Ingela
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