Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김명희 | * |
dc.date.accessioned | 2016-08-28T11:08:29Z | - |
dc.date.available | 2016-08-28T11:08:29Z | - |
dc.date.issued | 2005 | * |
dc.identifier.isbn | 3540308199 | * |
dc.identifier.isbn | 9783540308195 | * |
dc.identifier.issn | 0302-9743 | * |
dc.identifier.other | OAK-12847 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/228913 | - |
dc.description.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. | * |
dc.description.sponsorship | IEEE Hong Kong Comput. Intelligence Chapter;Xidian University, China;Hong Kong Baptist University, Hong Kong;Nat. Natural Science Foundation of China;Guangdong University of Technol. | * |
dc.language | English | * |
dc.title | Metabolic visualization and intelligent shape analysis of the hippocampus | * |
dc.type | Conference Paper | * |
dc.relation.volume | 3802 LNAI | * |
dc.relation.index | SCOPUS | * |
dc.relation.startpage | 1140 | * |
dc.relation.lastpage | 1148 | * |
dc.relation.journaltitle | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | * |
dc.identifier.doi | 10.1007/11596981_171 | * |
dc.identifier.wosid | WOS:000234874900171 | * |
dc.identifier.scopusid | 2-s2.0-33646852245 | * |
dc.author.google | Choi Y.-J. | * |
dc.author.google | Kim J.-S. | * |
dc.author.google | Kim M.-J. | * |
dc.author.google | Choi S.-M. | * |
dc.author.google | Kim M.-H. | * |
dc.contributor.scopusid | 김명희(34770838100) | * |
dc.date.modifydate | 20240322133114 | * |