DocumentCode :
617449
Title :
Variational myocardial tracking from CINE-MRI with non-linear regularization
Author :
Tuyisenge, V. ; Albouy-Kissi, A. ; Cassagnes, L. ; Coupez, E. ; Merlin, C. ; Windyga, P. ; Sarry, L.
Author_Institution :
ISIT, Clermont Univ., Clermont-Ferrand, France
fYear :
2013
fDate :
7-11 April 2013
Firstpage :
824
Lastpage :
827
Abstract :
We present a new motion estimation approach for cardiac Magnetic Resonance Imaging (MRI) data from a variational framework. The improved performance of variational approach has been achieved by designing a new regularization term that properly handles motion discontinuities. This approach was applied to both synthetic and real data. The quantitative evaluation revealed the superior performance of the proposed method against reference approaches.
Keywords :
biomedical MRI; cardiology; medical image processing; motion estimation; muscle; variational techniques; cardiac magnetic resonance imaging data; cine-MRI; motion discontinuity; motion estimation approach; nonlinear regularization; quantitative evaluation; variational myocardial tracking; Computer vision; Equations; Estimation; Myocardium; Nonlinear optics; Optical imaging; Smoothing methods; Flow field estimation; MRI; flow discontinuity; myocardium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
Conference_Location :
San Francisco, CA
ISSN :
1945-7928
Print_ISBN :
978-1-4673-6456-0
Type :
conf
DOI :
10.1109/ISBI.2013.6556602
Filename :
6556602
Link To Document :
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