Title: Using anti-aliased signed distance fields for generating surgical guides and plates from CT images
Authors: Nysjö, Fredrik
Olsson, Pontus
Malmberg, Filip
Carlbom, Ingrid B.
Nyström, Ingela
Citation: Journal of WSCG. 2017, vol. 25, no. 1, p. 11-20.
Issue Date: 2017
Publisher: Václav Skala - UNION Agency
Document type: článek
article
URI: wscg.zcu.cz/WSCG2017/!_2017_Journal_WSCG-No-1.pdf
http://hdl.handle.net/11025/26276
ISSN: 1213-6972 (print)
1213-6980 (CD-ROM)
1213-6964 (on-line)
Keywords: implicitní modelování;vzdálenost polí;CT;plánování virtuální chirurgie
Keywords in different language: implicit modeling;distance fields;CT;virtual surgery planning
Abstract in different language: We present a method for generating shell-like objects such as surgical guides and plates from segmented computed tomography (CT) images, using signed distance fields and constructive solid geometry (CSG). We develop a userfriendly modeling tool which allows a user to quickly design such models with the help of stereo graphics, six degrees-of-freedom input, and haptic feedback, in our existing software for virtual cranio-maxiollofacial surgery planning, HASP. To improve the accuracy and precision of the modeling, we use an anti-aliased distance transform to compute signed distance field values from fuzzy coverage representations of the bone. The models can be generated within a few minutes, with only a few interaction steps, and are 3D printable. The tool has potential to be used by the surgeons themselves, as an alternative to traditional surgery planning services.
Rights: © Václav Skala - UNION Agency
Appears in Collections:Volume 25, Number 1 (2017)

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