Medical Computer Vision, Virtual Reality and Robotics

Nicholas Ayache 1, *
* Auteur correspondant
1 EPIDAURE - Medical imaging and robotics
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : The automated analysis of 3D medical images can improve both diagnosis and therapy significantly. This automation raises a number of new fascinating research problems in the fields of computer vision, graphics and robotics. In this paper, I propose a list of such problems after a review of the current major 3D imaging modalities, and a description of the related medical needs. I then present some of the past and current work done in our research group EPIDAURE at INRIA, on the following topics: segmentation of 3D images; 3D shape modelling; 3D rigid and nonrigid registration; 3D motion analysis; and 3D simulation of therapy. Most topics are discussed in a synthetic manner, and illustrated by results. Rigid matching is treated more thoroughly as an illustration of a transfer from computer vision towards 3D image processing. The later topics are illustrated by preliminary results, and a number of promising research tracks are suggested.
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https://hal.inria.fr/inria-00615055
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Dernière modification le : vendredi 12 janvier 2018 - 11:01:55
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Nicholas Ayache. Medical Computer Vision, Virtual Reality and Robotics. Image and Vision Computing, Elsevier, 1995, 13 (4), pp.295-313. 〈10.1016/0262-8856(95)99717-F〉. 〈inria-00615055〉

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