Title :
Energy-minimizing deformable grids for tracking tagged MR cardiac images
Author :
Amini, Amir A. ; Shi, Pengcheng ; Constable, R. Todd ; Johnson, Kevin ; Duncan, James S. ; Gore, John C.
Author_Institution :
Dept. of Diagnostic Radiol., Yale Univ., New Haven, CT, USA
Abstract :
Magnetic resonance imaging (MRI) is unique in being able to non-invasively and selectively alter tissue magnetization, and hence create striped grid patterns on the resulting MR images. The authors discuss preliminary results in automated tracking of motion from myocardial tags. To track the motion, energy-minimizing deformable grids are introduced. Deformable grids are energy-minimizing curves which respond to image-derived forces and relax in valleys of an appropriately defined energy landscape. Energy minimization for each grid line is carried out by using the method of dynamic programming. Tracking the valleys of the energy landscape allows for measurement of MR tag deformations due to tissue motion
Keywords :
biomedical NMR; cardiology; medical image processing; muscle; MR cardiac images; MRI; energy-minimizing deformable grids; myocardial tags automated tracking; noninvasive imaging; tissue magnetization; Computed tomography; Energy measurement; Heart; Magnetic resonance imaging; Motion measurement; Myocardium; Optical surface waves; Radiology; Tagging; Tracking;
Conference_Titel :
Computers in Cardiology 1992, Proceedings of
Conference_Location :
Durham, NC
Print_ISBN :
0-8186-3552-5
DOI :
10.1109/CIC.1992.269374