Title :
A recursive filter for temporal analysis of cardiac motion
Author :
McEachen, John C., II ; Nehorai, Arye ; Duncan, James S.
Author_Institution :
Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
Abstract :
A framework for temporal analysis of left ventricular (LV) endocardial wall motion is presented. This approach uses a novel technique of two-dimensional harmonic estimation to model the periodic nature of cardiac motion. A method for flow vector computation is presented which defines a relationship between image-derived, shape-based correspondences and a more desirable, smoothly varying, set of correspondences. A sequential filter is then constructed which takes into consideration this relationship as well as knowledge of temporal trends. Experimental results for contours derived from cycles of actual cardiac magnetic resonance images are presented. Applications to the analysis of regional LV wall function are discussed
Keywords :
biomechanics; biomedical NMR; cardiology; digital filters; medical image processing; nuclear magnetic resonance imaging; 2D harmonic estimation; cardiac magnetic resonance images; cardiac motion; image-derived shape-based correspondences; left ventricular endocardial wall motion; medical diagnostic imaging; periodic motion; recursive filter; sequential filter; temporal analysis framework; Computed tomography; Computer vision; Filters; Heart; Image analysis; Image motion analysis; Image sequence analysis; Motion analysis; Radiology; Tracking;
Conference_Titel :
Biomedical Image Analysis, 1994., Proceedings of the IEEE Workshop on
Conference_Location :
Seattle, WA
Print_ISBN :
0-8186-5802-9
DOI :
10.1109/BIA.1994.315857
