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Proceedings Paper

A multiple-layer flexible mesh template matching method for non-rigid registration between a pelvis model and CT images
Author(s): Jianhua Yao; Russell H. Taylor
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Paper Abstract

A robust non-rigid registration method has been developed to deform a pelvis model to match with anatomical structures in a CT image. A statistical volumetric model is constructed from a collection of training CT datasets. The model is represented as a hierarchical tetrahedron. The prior information of both shape properties and density properties is incorporated in the model. The non-rigid registration process consists of three stages: affine transformation, global deformation, and local deformation. A multiple-layer flexible mesh template matching method is developed to adjust the location of each vertex on the model to achieve an optimal match with the anatomical structure. The mesh template is retrieved directly from the tetrahedral mesh structure, with multiple-layer structure for different scales of anatomical features and flexible searching sphere for robust template matching. An adaptive deformation focus strategy is adopted to gradually deform each vertesx to its matched destination. Several constraints are applied to guarantee the smoothness and continuity. A "leave-one-out" validation showed that the method can achieve about 94% volume overlap and 5.5% density error between the registered model and the ground truth model.

Paper Details

Date Published: 15 May 2003
PDF: 8 pages
Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.481354
Show Author Affiliations
Jianhua Yao, National Institutes of Health (United States)
Russell H. Taylor, Johns Hopkins Univ. (United States)


Published in SPIE Proceedings Vol. 5032:
Medical Imaging 2003: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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