Cardiac motion estimation using covariant derivatives and Helmholtz decomposition

A. Becciu, R. Duits, B.J Janssen, L.M.J. Florack, B.M. Haar Romeny, ter, H.C. Assen, van

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

4 Citaten (Scopus)
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Samenvatting

Quantification of cardiac function is important for the assessment of abnormalities and response to therapy. We present a method to reconstruct dense cardiac motion from sparse features in tagging MRI, decomposed into solenoidal and irrotational parts using multi-scale Helmholtz decomposition. Reconstruction is based on energy minimization using covariant derivatives exploiting prior knowledge about the motion field. The method is tested on cardiac motion images. Experiments on phantom data show that both covariant derivatives and multi-scale Helmholtz decomposition improve motion field reconstruction.
Originele taal-2Engels
TitelStatistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges (Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Toronto, ON, Canada, September 22, 2011, Revised Selected Papers)
RedacteurenO. Camara, E. Konukoglu, M. Pop, K. Rhode, M. Sermesant, A. Young
Plaats van productieBerlin
UitgeverijSpringer
Pagina's263-273
ISBN van geprinte versie978-3-642-28325-3
DOI's
StatusGepubliceerd - 2012

Publicatie series

NaamLecture Notes in Computer Science
Volume7085
ISSN van geprinte versie0302-9743

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    Becciu, A., Duits, R., Janssen, B. J., Florack, L. M. J., Haar Romeny, ter, B. M., & Assen, van, H. C. (2012). Cardiac motion estimation using covariant derivatives and Helmholtz decomposition. In O. Camara, E. Konukoglu, M. Pop, K. Rhode, M. Sermesant, & A. Young (editors), Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges (Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Toronto, ON, Canada, September 22, 2011, Revised Selected Papers) (blz. 263-273). (Lecture Notes in Computer Science; Vol. 7085). Berlin: Springer. https://doi.org/10.1007/978-3-642-28326-0_27