Title :
A recursive filter for phase velocity assisted shape-based tracking of cardiac non-rigid motion
Author :
McEachen, John C., II ; Meyer, François G. ; Constable, Todd R. ; Nehorai, Arye ; Duncan, James S.
Author_Institution :
Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
Abstract :
A framework for tracking pointwise periodic non-rigid motion of the heart´s left ventricular (LV) wall is presented which incorporates information from two different magnetic resonance imaging (MRI) techniques. New developments in phase-contrast cine MR imaging have produced spatial maps of instantaneous velocity that heave proven accuracy within the myocardium, or wall, of the heart. This information is combined with shape-based matching techniques to provide improved estimates of trajectories, especially in regions where shape information is limited. These raw trajectories act as input to a recursive least squares (RLS) filter which applies the constraints of temporal periodicity and spatial smoothness for the final estimate. The results of the RLS filter are compared with the motion of actual implanted markers. Comparisons are also made between exclusively shape-based filtered and phase-contrast enhanced trajectory estimates using both phantom and actual canine heart MR images
Keywords :
biomedical NMR; cardiology; image matching; least squares approximations; medical image processing; motion estimation; recursive filters; tracking filters; canine heart MR images; cardiac nonrigid motion; final estimate; heart left ventricular wall; implanted marker motion; instantaneous velocity; magnetic resonance imaging techniques; myocardium; phase velocity assisted shape-based tracking; phase-contrast cine MR imaging; phase-contrast enhanced trajectory estimates; pointwise periodic nonrigid motion tracking; raw trajectories; recursive least squares filter; shape information; shape-based filtered trajectory estimates; shape-based matching techniques; spatial maps; spatial smoothness constraint; temporal periodicity constraint; trajectory estimation; Filters; Heart; Least squares approximation; Magnetic resonance imaging; Magnetic separation; Myocardium; Recursive estimation; Resonance light scattering; Shape; Tracking;
Conference_Titel :
Computer Vision, 1995. Proceedings., Fifth International Conference on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-8186-7042-8
DOI :
10.1109/ICCV.1995.466876