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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=617449