Analysis of myocardial motion in tagged MR images using nonrigid image registration

Raghavendra Chandrashekara; Raad H. Mohiaddin; Daniel Rueckert

doi:10.1117/12.467075

9 May 2002 Analysis of myocardial motion in tagged MR images using nonrigid image registration

Raghavendra Chandrashekara, Raad H. Mohiaddin, Daniel Rueckert

Proceedings Volume 4684, Medical Imaging 2002: Image Processing; (2002) https://doi.org/10.1117/12.467075
Event: Medical Imaging 2002, 2002, San Diego, California, United States

Abstract

Tagged magnetic resonance imaging (MRI) is unique in its ability to non-invasively image the motion and deformation of the heart in-vivo, but one of the fundamental reasons limiting its use in the clinical environment is the absence of automated tools to derive clinically useful information from tagged MR images. In this paper we present a novel and fully automated technique based on nonrigid image registration using multi-level free-form deformations (MFFDs) for the analysis of myocardial motion using tagged MRI. The novel aspect of our technique is its integrated nature for tag localization and deformation field reconstruction. To extract the motion field within the myocardium during systole we register a sequence of images taken during systole to a set of reference images taken at end-diastole, maximizing the mutual information between images. We use both short-axis and long-axis images of the heart to estimate the full four-dimensional motion field within the myocardium. We have validated our method using a cardiac motion simulator and we also present quantitative comparisons of cardiac motion from nine volunteers.

Citation Download Citation

Raghavendra Chandrashekara, Raad H. Mohiaddin, and Daniel Rueckert "Analysis of myocardial motion in tagged MR images using nonrigid image registration", Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); https://doi.org/10.1117/12.467075

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