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Metabolic visualization and intelligent shape analysis of the hippocampus

Title
Metabolic visualization and intelligent shape analysis of the hippocampus
Authors
Choi Y.-J.Kim J.-S.Kim M.-J.Choi S.-M.Kim M.-H.
Ewha Authors
김명희
SCOPUS Author ID
김명희scopus
Issue Date
2005
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN
0302-9743JCR Link
Citation
vol. 3802 LNAI, pp. 1140 - 1148
Indexed
SCOPUS WOS scopus
Abstract
This paper suggests a prototype system for visualization and analysis of anatomic shape and functional features of the hippocampus. Based on the result of MR-SPECT multi-modality image registration, anatomical and functional features of hippocampus are extracted from MR and registered SPECT images, respectively. The hippocampus is visualized in 3D by applying volume rendering to hippocampus volume data extracted from the MR image with color coded by registered SPECT image. In order to offer the objective and quantitative data concerning to the anatomic shape and functional features of the hippocampus, the geometric volume and the SPECT intensity histogram of hippocampus regions are automatically measured based on the MR and the registered SPECT image, respectively. We also propose a new method for the analysis of hippocampal shape using an integrated Octree-based representation, consisting of meshes, voxels, and skeletons. © Springer-Verlag Berlin Heidelberg 2005.
DOI
10.1007/11596981_171
ISBN
3540308199; 9783540308195
Appears in Collections:
엘텍공과대학 > 컴퓨터공학과 > Journal papers
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