Deformable image registration using improved hybrid elastic model

Xiaogang Chang; Zhifeng Cai; Marc Jaeger; Hanqing Lu

doi:10.1117/12.538840

25 September 2003 Deformable image registration using improved hybrid elastic model

Xiaogang Chang, Zhifeng Cai, Marc Jaeger, Hanqing Lu

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538840
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

This paper present an approach based on improved hybrid elastic model for deformable image registration. This method utilizes the linear spring net model for correspondence, and the thin-plate spline for non-rigid mapping. Compared with the original model, this improved method uses not only the intensity information, but also the weighted gray level histogram and the image gradient for similarity measurement. A multi-resolution strategy is involved to decrease the computing complexity and to increase the precision. Some experiments are performed on both synthetic and segmented medical images.

Citation Download Citation

Xiaogang Chang, Zhifeng Cai, Marc Jaeger, and Hanqing Lu "Deformable image registration using improved hybrid elastic model", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538840

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