Registration of medical images using an interpolated closest point transform: method and validation

Zhujiang Cao; Shiyan Pan; Rui Li; Ramya Balachandran; Michael J. Fitzpatrick; William C. Chapman; Benoit M. Dawant

doi:10.1117/12.480306

15 May 2003 Registration of medical images using an interpolated closest point transform: method and validation

Zhujiang Cao, Shiyan Pan, Rui Li, Ramya Balachandran, Michael J. Fitzpatrick, William C. Chapman, Benoit M. Dawant

Proceedings Volume 5032, Medical Imaging 2003: Image Processing; (2003) https://doi.org/10.1117/12.480306
Event: Medical Imaging 2003, 2003, San Diego, California, United States

Abstract

Image registration is an important procedure for medical diagnosis. Since the large inter-site retrospective validation study led by Fitzpatrick at Vanderbilt University, voxel-based methods and more specifically mutual information (MI) based registration methods have been regarded as the method of choice for rigid-body intra-subject registration problems. In this study we propose a method that is based on the iterative closest point (ICP) algorithm and a pre-computed closest point map obtained with a slight modification of the fast marching method proposed by Sethian. We also propose an interpolation scheme that allows us to find the corresponding points with a sub-voxel accuracy even though the closest point map is defined on a regular grid. The method has been tested both on synthetic and real images and registration results have been assessed quantitatively using the data set provided by the Retrospective Registration Evaluation Project. For these volumes, MR and CT head surfaces were extracted automatically using a level-set technique. Results show that on these data sets this registration method leads to accuracy numbers that are comparable to those obtained with voxel-based methods.

Citation Download Citation

Zhujiang Cao, Shiyan Pan, Rui Li, Ramya Balachandran, Michael J. Fitzpatrick, William C. Chapman, and Benoit M. Dawant "Registration of medical images using an interpolated closest point transform: method and validation", Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); https://doi.org/10.1117/12.480306

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