View : 21 Download: 0

Shape comparison of the hippocampus using a multiresolution representation and ICP normalization

Title
Shape comparison of the hippocampus using a multiresolution representation and ICP normalization
Authors
Kim, JSKim, YGChoi, SMKim, MH
Ewha Authors
김명희
SCOPUS Author ID
김명희scopus
Issue Date
2005
Journal Title
KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 3, PROCEEDINGS
ISSN
0302-9743JCR Link
Citation
vol. 3683, pp. 233 - 239
Publisher
SPRINGER-VERLAG BERLIN
Indexed
SCOPUS WOS scopus
Abstract
It is known that deformation of the hippocampus shape is involved with several neurological diseases. In this paper, we propose a hybrid shape representation scheme, which consists of multiresolution skeletons, voxels and meshes for the shape analysis of the hippocampus. Initially, a hippocampal surface model is reconstructed from MRI and then it is placed into a canonical coordinate system, where the position, orientation and scaling are normalized. From the voxel representation of the hippocampus, multiresolution skeletons are extracted and Iterative Closest Point normalization is carried out. Then the shape similarity of two hippocampal models is computed with a hierarchical fashion. In addition, we have implemented a neural network based classifier to discriminate whether a hippocampal model is normal or not. Results indicate that the proposed hybrid representation and the skeleton-based normalization using ICP are very effective in 3D shape analysis of the hippocampus.
ISBN
3-540-28896-1
Appears in Collections:
엘텍공과대학 > 컴퓨터공학과 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE