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.