Research Tracks in Computer Vision Applied to 3D Medical Images

Applications of Computer Vision in Medical Image Processing

Volume

Papers from the 1994 AAAI Spring Symposium

Contents

This short paper is mainly the introduction oJ the a~ailable INRIA Research Report No. 2050 (55 page,) published by the author in Sept. 1993 [1]. The automated analysis of 3D medical images can improve significantly both diagnosis and therapy. This automation raises a number of new fascinating research problems in the fields of computer vision 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 past and current work done in the research group EPIDAURE ] at INRIA, on the following topics: segmentation of 3D images, 3D shape modeling, 3D rigid and nonrigid registration, 3D motion analysis and 3D simulation of therapy. I also try to suggest a number of promising research tracks and future challenges.