Xiaodong Zhong1,2, Bruce S. Spottiswoode3,
Craig H. Meyer2,4, Frederick H. Epstein2,4
1MR R&D Collaborations, Siemens
Healthcare, Atlanta, GA, United States; 2Biomedical Engineering,
University of Virginia, Charlottesville, VA, United States; 3MRC/UCT
Medical Imaging Research Unit, University of Cape Town, Cape Town, Western
Cape, South Africa; 4Radiology, University of Virginia,
Charlottesville, VA, United States
This
abstract introduces novel automatic algorithms for myocardial tissue tracking
and strain calculation for three-dimensional (3D) cine DENSE data.
Specifically, scattered data interpolation using radial basis functions (RBF)
was developed for Lagrangian tissue tracking. Also, a finite-strain based
algorithm was developed to calculate the deformation gradient tensor and the
Lagrangian strain tensor. The algorithms were performed on 3D cine DENSE data
from five healthy volunteers to obtain 3D Lagrangian displacement and strain
fields. The 3D myocardial mechanics, including normal strains, twist and
torsion, were consistent with previous results from myocardial tagging in
healthy volunteers.