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Proceedings Paper

Vertebral surface registration using ridgelines/crestlines
Author(s): Sovira Tan; Jianhua Yao; Lawrence Yao; Ronald M. Summers M.D.; Michael M. Ward
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Paper Abstract

The Iterative Closest Point (ICP) algorithm is an efficient and popular technique for surface registration. It however suffers from the well-known problem of local minima that make the algorithm stop before it reaches the desired global solution. ICP can be improved by the use of landmarks or features. We recently developed a level set capable of evolving on the surface of an object represented by a triangular mesh. This level set permits the segmentation of portions of a surface based on curvature features. The boundary of a segmented portion forms a ridgeline/crestline. We show that the ridgelines/crestlines and corresponding enclosed surfaces extracted by the algorithm can substantially improve ICP registration. We compared the performance of an ICP algorithm in three setups: 1) ICP without landmarks. 2) ICP using ridgelines. 3) ICP using ridgelines and corresponding enclosed surfaces. Our material consists of vertebral body surfaces extracted for a study about the progression of Ankylosing Spondylitis. Same vertebrae scanned at intervals of one or two years were rigidly registered. Vertebral body rims and the end plate surfaces they enclose were used as landmarks. The performance measure was the mean error distance between the registered surfaces. From the one hundred registrations that we performed the average mean error was respectively 0.503mm, 0.335mm and 0.254mm for the three setups. Setup 3 almost halved the average error of setup 1. Moreover the error range is dramatically reduced from [0.0985, 2.19]mm to just [0.0865, 0.532]mm, making the algorithm very robust.

Paper Details

Date Published: 19 March 2008
PDF: 8 pages
Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69140H (19 March 2008); doi: 10.1117/12.769472
Show Author Affiliations
Sovira Tan, National Institute of Arthritis and Musculoskeletal and Skin Diseases (United States)
Jianhua Yao, National Institutes of Health (United States)
Lawrence Yao, National Institutes of Health (United States)
Ronald M. Summers M.D., National Institutes of Health (United States)
Michael M. Ward, National Institute of Arthritis and Musculoskeletal and Skin Diseases (United States)

Published in SPIE Proceedings Vol. 6914:
Medical Imaging 2008: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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