DocumentCode :
1558705
Title :
A bending energy model for measurement of cardiac shape deformity
Author :
Duncan, James S. ; Lee, Forrester A. ; Smeulders, Arnold W M ; Zaret, Barry L.
Author_Institution :
Yale Univ., New Haven, CT, USA
Volume :
10
Issue :
3
fYear :
1991
fDate :
9/1/1991 12:00:00 AM
Firstpage :
307
Lastpage :
320
Abstract :
An approach to analyzing and quantifying the shape characteristics of the endocardial contour of the left ventricle of the heart is described. The computation begins by finding the local curvature differences between the contour under consideration and the mean normal contour at each of 100 equidistant points. The weighted square of these differences, summed over a set of points, is shown to be the regional or, global bending energy required to deform the mean normal contour to the characteristic shape of the analyzed contour. Resampling, smoothing and curvature computation issues are considered for the image-derived digital contours that are used in the analysis. Experiments were performed on artificial contour data and data derived from contrast ventriculographic (CV) studies of humans. It is also shown that the method has been adapted to measure endocardial shape form equilibrium radionuclide angiocardiography
Keywords :
biomechanics; cardiology; physiological models; bending energy model; cardiac shape deformity measurement; contrast ventriculography; curvature computation; endocardial contour characteristics; equidistant points; equilibrium radionuclide angiocardiography; global bending energy; heart; image-derived digital contours; left ventricle; regional bending energy; resampling; smoothing; weighted square; Biomedical imaging; Computed tomography; Deformable models; Energy measurement; Heart; Humans; Image analysis; Magnetic resonance imaging; Medical diagnostic imaging; Shape measurement;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.97580
Filename :
97580
Link To Document :
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