TY - GEN
T1 - Cardiac motion estimation by optimizing transmural homogeneity of the myofiber strain and its validation with multimodal sequences
AU - Zhang, Zhijun
AU - Sahn, David J.
AU - Song, Xubo
PY - 2013
Y1 - 2013
N2 - Quantitative motion analysis from cardiac imaging is important to study the function of heart. Most of existing image-based motion estimation methods model the myocardium as an isotropically elastic continuum. We propose a novel anisotropic regularization method which enforces the transmural homogeneity of the strain along myofiber. The myofiber orientation in the end-diastolic frame is obtained by registering it with a diffusion tensor atlas. Our method is formulated in a diffeomorphic registration framework, and tested on multimodal cardiac image sequences of two subjects using 3D echocardiography and cine and tagged MRI. Results show that the estimated transformations in our method are more smooth and more accurate than those in isotropic regularization.
AB - Quantitative motion analysis from cardiac imaging is important to study the function of heart. Most of existing image-based motion estimation methods model the myocardium as an isotropically elastic continuum. We propose a novel anisotropic regularization method which enforces the transmural homogeneity of the strain along myofiber. The myofiber orientation in the end-diastolic frame is obtained by registering it with a diffusion tensor atlas. Our method is formulated in a diffeomorphic registration framework, and tested on multimodal cardiac image sequences of two subjects using 3D echocardiography and cine and tagged MRI. Results show that the estimated transformations in our method are more smooth and more accurate than those in isotropic regularization.
KW - Cardiac motion estimation
KW - cardiac strain
KW - diffeomorphic registration
KW - myofiber orientation
UR - http://www.scopus.com/inward/record.url?scp=84894620856&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84894620856&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-40811-3_62
DO - 10.1007/978-3-642-40811-3_62
M3 - Conference contribution
C2 - 24505703
AN - SCOPUS:84894620856
SN - 9783642408106
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 493
EP - 500
BT - Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings
T2 - 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013
Y2 - 22 September 2013 through 26 September 2013
ER -