Direct myocardial strain assessment from frequency estimation in tagging MRI

Hanne B. Kause, Olena G. Filatova, Remco Duits, L. C. Mark Bruurmijn, Andrea Fuster, Jos J. M. Westenberg, Luc Florack, Hans C. van Assen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)
4 Downloads (Pure)


We propose a new method to analyse deformation of the cardiac left ventricular wall from tagging magnetic resonance images. The method exploits the fact that the time-dependent frequency covector field representing the tag pattern is tightly coupled to the myocardial deformation and not affected by tag fading. Deformation and strain tensor fields can be retrieved from local frequency estimates given at least n (independent) tagging sequences, where n denotes spatial dimension. Our method does not require knowledge of material motion or tag line extraction. We consider the conventional case of two tag directions, as well as the overdetermined case of four tag directions, which improves robustness. Additional scan time can be prevented by using one or two grid patterns consisting of multiple, simultaneously acquired tag directions. This concept is demonstrated on patient data. Tracking errors obtained for phantom data are smaller than those obtained by HARP, 0.32±0.14 px versus 0.53±0.07 px. Strain results for volunteers are compared with corresponding linearised strain fields derived from HARP.
Original languageEnglish
Title of host publicationStatistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges (4th International Workshop, STACOM'13, held in conjunction with MICCAI'13, Nagoya, Japan, September 26, 2013. Revised Selected Papers)
EditorsO. Camara, T. Mansi, M. Pop, K. Rhode, M. Sermesant, A. Young
Place of PublicationBerlin
Number of pages8
ISBN (Print)978-3-642-54267-1
Publication statusPublished - 2014
Event4th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2013) - Nagoya, Japan
Duration: 26 Sept 201326 Sept 2013

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


Conference4th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2013)
Abbreviated titleSTACOM 2013
OtherWorkshop held in conjunction with the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2013)


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