Title :
Fast techniques for determining myocardial strains from tagged MRI
Author :
Y. Wang;A. Amini
Abstract :
Summary form only received. Magnetic resonance (MR) tagging is a useful technique for noninvasively measuring the deformation of the heart. With MR tagging, quantitative measurement of heart motion can be obtained from the motion of a set of dark lines encoded within the deforming Left-Ventricular (LV) tissue. However, these tag lines are sparse and therefore techniques are needed to reconstruct a dense displacement field at all points within the LV myocardium so that mechanical indices of function such as strain, shear, and torsion can be determined for all myocardial points. Here, a subspace approximation technique is used to accomplish this task. First, the authors formulate the displacement estimation as a variational problem and then a subspace approximation method which makes use of B-spline bases is proposed to approximate the solution. By taking advantages of B-spline properties, efficient numerical methods are derived which reconstruct the motion field within a short-axis MRI slice in under one minute. The methods have been extensively validated using both simulated and in-vivo data in animal models and patients.
Keywords :
"Myocardium","Capacitive sensors","Magnetic resonance imaging","Tagging","Magnetic field measurement","Heart","Spline","Magnetic field induced strain","Magnetic resonance","Motion measurement"
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Print_ISBN :
0-7803-6465-1
DOI :
10.1109/IEMBS.2000.901470