Shortest path refinement For HARP motion tracking

Xiaofeng Liu; Ying Bai; Jerry L. Prince

doi:10.1117/12.812620

27 March 2009 Shortest path refinement For HARP motion tracking

Xiaofeng Liu, Ying Bai, Jerry L. Prince

Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 72590V (2009) https://doi.org/10.1117/12.812620
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Harmonic phase (HARP) motion analysis is widely used in the analysis of tagged magnetic resonance images of the heart. HARP motion tracking can yield gross errors, however, when there is a large amount of motion between successive time frames. Methods that use spatial continuity of motion - so-called refinement methods - have previously been reported to reduce these errors. This paper describes a new refinement method based on shortest-path computations. The method uses a graph representation of the image and seeks an optimal tracking order from a specified seed to each point in the image by solving a single source shortest path problem. This minimizes the potential for path dependent solutions which are found in other refinement methods. Experiments on cardiac motion tracking shows that the proposed method can track the whole tissue more robustly and is also computationally efficient.

Citation Download Citation

Xiaofeng Liu, Ying Bai, and Jerry L. Prince "Shortest path refinement For HARP motion tracking", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72590V (27 March 2009); https://doi.org/10.1117/12.812620

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