3-D shape analysis of anatomical structures based on an interactive multiresolution approach

Authors:
Soo-Mi Choi;Jeong-Sik Kim;Yong-Guk Kim;Joo-Young Park
Affiliations:
School of Computer Engineering, Sejong University, Seoul, Korea;School of Computer Engineering, Sejong University, Seoul, Korea;School of Computer Engineering, Sejong University, Seoul, Korea;Dept. of Computer Science and Engineering, Ewha Womans University, Seoul, Korea
Venue:
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Year:
2004

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Abstract

3-D shape comparison of anatomical objects is essential task in distinguishing between abnormal and normal organs. Such discrimination is also necessary in following up patients for the evaluation of treatments. This paper presents an efficient representation and analysis method for 3-D shape comparison based on a multiresolution approach. Initially, we reconstruct anatomical objects by adapting a multiresolution deformable surface model to the image pyramid with a coarse-to-fine fashion in order to avoid false surface. Then we interactively compare the reconstructed objects by multiresolution analysis based on an Octree structure. The partial comparison at specific location helps to focus on a region of interest within an anatomical structure and to detect local shape changes easily. We present some results of applying our method to the extracted brain cortical surfaces from MR images.