Two-step nonlinear medical image registration based on image intensity

Xiu Ying Wang; David Dagan Feng

doi:10.1117/12.477181

31 July 2002 Two-step nonlinear medical image registration based on image intensity

Xiu Ying Wang, David Dagan Feng

Proceedings Volume 4875, Second International Conference on Image and Graphics; (2002) https://doi.org/10.1117/12.477181
Event: Second International Conference on Image and Graphics, 2002, Hefei, China

Abstract

A two-step non-linear medical image registration approach is proposed, based on the image intensity. In the first step, the global affme medical image registration is used to establish one-to-one mapping between the two images to be registered. After this first step, the images are registered up to small local elastic deformation. Then the mapped images are used as inputs in the second step, during which, the study image is modeled as elastic sheet by being divided into several sub-images. Moving the individual sub-image in the reference image, the local displacement vectors are found and the global elastic transformation is achieved by assimilating all of the local transformation into a continuous transformation. This algorithm has been tested by both simulated and clinical tomographic images.

Citation Download Citation

Xiu Ying Wang and David Dagan Feng "Two-step nonlinear medical image registration based on image intensity", Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); https://doi.org/10.1117/12.477181

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