Rashid Al Mukaddim, M.S.
Myocardial deformation imaging plays crucial role to obtain clinically valuable information based on an objective assessment of regional and global ventricular function. Cardiac elastography (CE) is an approach for myocardial deformation imaging that utilizes ultrasound radio-frequency (RF) data to extract the local deformation field of the cardiac musculature. CE uses the natural contraction and relaxation of myocardium as a mechanical stimulus for strain estimation.
Our lab focuses on designing robust algorithms to extract cardiac deformation information accurately. We have designed a cardiac strain estimation pipeline by incorporating a coarse-to-fine displacement and strain estimation approach based on a Lagrangian model of deformation. We have also incorporated Bayesian regularization to generate myocardial strain imaging and temporal strain curves over several cardiac cycles. The strain curves provide useful information about regional cardiovascular dynamics of the healthy or ischemic heart. Developed pipeline is currently being validated in in-vivo human and murine cardiac datasets.
Detection of Ischemic Cardiac Dynamics using Cardiac Elastography
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