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Computer Vision, IEEE International Conference on (1995)
Massachusetts Institute of Technology, Cambridge, Massachusetts
June 20, 1995 to June 23, 1995
ISBN: 0-8186-7042-8
pp: 687
Pengcheng Shi , Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
G. Robinson , Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
R. Todd Constable , Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
A. Sinusas , Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
J. Duncan , 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.
INDEX TERMS
patient treatment; cardiology; feedback; motion estimation; medical image processing; model-based integrated approach; myocardial deformation; velocity constraints; displacement constraints; heart wall dense field motion; physiological processes; ischemic heart diseases; left ventricular deformation; shape information; phase contrast magnetic resonance images; boundary information; shape-based motion tracking; continuum biomechanical heart model; finite element framework; feedback mechanism; motion estimation; single image-derived source
CITATION

P. Shi, G. Robinson, J. Duncan, R. Todd Constable and A. Sinusas, "A model-based integrated approach to track myocardial deformation using displacement and velocity constraints," Computer Vision, IEEE International Conference on(ICCV), Massachusetts Institute of Technology, Cambridge, Massachusetts, 1995, pp. 687.
doi:10.1109/ICCV.1995.466872
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