TY - GEN
T1 - Deformable Motion Tracking of Cardiac Structures (DEMOTRACS) for improved MR imaging
AU - Dewan, Maneesh
AU - Lorenz, Christine H.
AU - Hager, Gregory D.
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2007
Y1 - 2007
N2 - The speed and quality of imaging cardiac structures (coronary arteries, cardiac valves etc) in MR can be improved by tracking and predicting their motion in MR images. The problem is challenging not only due to the complex motion of these structures that significantly changes the appearance of the region of interest, but also the ability to track at different spatial and temporal resolutions depending on the application. We have developed a multiple-template based tracking approach to track the cardiac structures in MR images. The algorithm has two novel features. First a bidirectional coordinate-descent algorithm is derived to improve accuracy and performance of tracking. Second we propose a method for choosing an optimal set of templates for tracking. The efficacy of the algorithm has been validated by tracking the coronary artery and cardiac valves reliably and accurately in thousands of high resolution cine and low-resolution real-time MR images.
AB - The speed and quality of imaging cardiac structures (coronary arteries, cardiac valves etc) in MR can be improved by tracking and predicting their motion in MR images. The problem is challenging not only due to the complex motion of these structures that significantly changes the appearance of the region of interest, but also the ability to track at different spatial and temporal resolutions depending on the application. We have developed a multiple-template based tracking approach to track the cardiac structures in MR images. The algorithm has two novel features. First a bidirectional coordinate-descent algorithm is derived to improve accuracy and performance of tracking. Second we propose a method for choosing an optimal set of templates for tracking. The efficacy of the algorithm has been validated by tracking the coronary artery and cardiac valves reliably and accurately in thousands of high resolution cine and low-resolution real-time MR images.
UR - http://www.scopus.com/inward/record.url?scp=35148822316&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=35148822316&partnerID=8YFLogxK
U2 - 10.1109/CVPR.2007.383142
DO - 10.1109/CVPR.2007.383142
M3 - Conference contribution
AN - SCOPUS:35148822316
SN - 1424411807
SN - 9781424411801
T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
BT - 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07
T2 - 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'07
Y2 - 17 June 2007 through 22 June 2007
ER -