Vertebral surface registration using ridgelines/crestlines

Sovira Tan; Jianhua Yao; Lawrence Yao; Ronald M. Summers M.D.; Michael M. Ward

doi:10.1117/12.769472

19 March 2008 Vertebral surface registration using ridgelines/crestlines

Sovira Tan, Jianhua Yao, Lawrence Yao, Ronald M. Summers M.D., Michael M. Ward

Proceedings Volume 6914, Medical Imaging 2008: Image Processing; 69140H (2008) https://doi.org/10.1117/12.769472
Event: Medical Imaging, 2008, San Diego, California, United States

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.

Citation Download Citation

Sovira Tan, Jianhua Yao, Lawrence Yao, Ronald M. Summers M.D., and Michael M. Ward "Vertebral surface registration using ridgelines/crestlines", Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69140H (19 March 2008); https://doi.org/10.1117/12.769472

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available