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Three-Dimensional Active Shape Models for Medical Image Segmentation  

Lim, Seong-Jae (ETRI)
Jeong, Yong-Yeon (CNU, Medical School)
Ho, Yo-Sung (GIST)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.44, no.5, 2007 , pp. 55-61 More about this Journal
Abstract
In this paper, we propose a three-dimensional(3D) active shape models for medical image segmentation. In order to build a 3D shape model, we need to generate a point distribution model(PDM) and select corresponding landmarks in all the training shapes. The manual determination method, two-dimensional(2D) method, and limited 3D method of landmark correspondences are time-consuming, tedious, and error-prone. In this paper, we generate a 3D statistical shape model using the 3D model generation method of a distance transform and a tetrahedron method for landmarking. After generating the 3D model, we extend the shape model training and gray-level model training of 2D active shape models(ASMs) and we use the integrated modeling process with scale and gray-level models for the appearance profile to represent the local structure. Experimental results are comparable to those of region-based, contour-based methods, and 2D ASMs.
Keywords
능동모양모델;3차원 모델 생성;의료영상 분할;
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