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Proceedings Paper

Three-dimensional ASM-based segmentation of the subcortical nucleus from volumetric MR images
Author(s): Yili Fu; Wenpeng Gao; Yongfei Xiao; Shuguo Wang
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Paper Abstract

Delineation of the subcortical nucleus in MR images is prerequisite for advanced radiotheraphy, surgical planning and morphometric analysis. However, it is always difficult to implement such a complicated work. We proposed a novel framework of 3D active shape model (ASM) based segmentation of the subcortical nucleus in MR images. Firstly, the most representative one of all samples represented by the segmented MR volumes is selected as the template and triangulated to generate a triangulated surface mesh. Then, free form deformation is used to establish dense point correspondences between the template and the other samples. A set of consistent triangle meshes are obtained to build the model by a statistical analysis. To fit the model to a MR volume, the model is initialized with Talairach transformation and the edge map around the model is extracted using watershed transform. An algorithm of robust point matching is used to find a transformation matrix and model parameters to transpose the model near the target nucleus and match the model to the target nucleus, respectively. The proposed framework was tested on 18 brain MR volumes. The caudate, putamen, globus pallidus, thalamus, and hippocampus were selected as the objects. In comparison with manual segmentation, the accuracy (Mean±SD) of the proposed framework is 0.90±0.04 for all objects.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 749721 (30 October 2009); doi: 10.1117/12.831323
Show Author Affiliations
Yili Fu, Harbin Institute of Technology (China)
Wenpeng Gao, Harbin Institute of Technology (China)
Yongfei Xiao, Harbin Institute of Technology (China)
Shuguo Wang, Harbin Institute of Technology (China)

Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)

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