Title :
A model-based integrated approach to track myocardial deformation using displacement and velocity constraints
Author :
Shi, Pengcheng ; Robinson, Glynn ; Constable, Todd R. ; Sinusas, Albert ; Duncan, James
Author_Institution :
Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
Abstract :
Accurate estimation of heart wall dense field motion and deformation could help to better understand the physiological processes associated with ischemic heart diseases, and to provide significant improvement in patient treatment. We present a new method of estimating left ventricular deformation which integrates instantaneous velocity information obtained within the mid-wall region with shape information found on the boundaries of the left ventricle. Velocity information is obtained from phase contrast magnetic resonance images, and boundary information is obtained from shape-based motion tracking of the endo- and cardial boundaries. The integration takes place within a continuum biomechanical heart model which is embedded in a finite element framework. We also employ a feedback mechanism to improve tracking accuracy. The integration of the two disparate but complementary sources overcomes some of the limitations of previous work in the field which concentrates on motion estimation from a single image-derived source
Keywords :
cardiology; feedback; medical image processing; motion estimation; patient treatment; boundary information; continuum biomechanical heart model; displacement constraints; feedback mechanism; finite element framework; heart wall dense field motion; ischemic heart diseases; left ventricular deformation; model-based integrated approach; motion estimation; myocardial deformation; phase contrast magnetic resonance images; physiological processes; shape information; shape-based motion tracking; single image-derived source; velocity constraints; Cardiac disease; Deformable models; Finite element methods; Heart; Magnetic resonance; Medical treatment; Motion estimation; Myocardium; 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.1995.466872