A bending energy model for measurement of cardiac shape deformity.

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.

[1]  D G Gibson,et al.  Continuous assessment of left ventricular shape in man. , 1975, British heart journal.

[2]  D Marr,et al.  Theory of edge detection , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[3]  Edward L. Bolson,et al.  LEFT VENTRICULAR SEGMENTAL WALL MOTION - A NEW METHOD USING LOCAL DIRECTION INFORMATION. , 1980 .

[4]  Arnold W. M. Smeulders,et al.  Some shape parameters for cell recognition , 1980 .

[5]  Dana H. Ballard,et al.  Computer Vision , 1982 .

[6]  E L Bolson,et al.  Variability in the measurement of regional left ventricular wall motion from contrast angiograms. , 1983, Circulation.

[7]  F. Sheehan,et al.  VARIABILITY IN MEASURING REGIONAL LEFT VENTRICULAR WALL MOTION FROM CONTRAST ANGIOGRAMS. , 1983 .

[8]  H J Berger,et al.  Functional left ventricular aneurysm formation after acute anterior transmural myocardial infarction. Incidence, natural history, and prognostic implications. , 1984, The New England journal of medicine.

[9]  Fred L. Bookstein,et al.  A geometric foundation for the study of left ventricular motion: Some tensor considerations , 1985 .

[10]  W Grossman,et al.  Left ventricular remodeling after myocardial infarction: a corollary to infarct expansion. , 1986, Circulation.

[11]  H W Woo,et al.  Advantages and applications of the centerline method for characterizing regional ventricular function. , 1986, Circulation.

[12]  G. Mancini,et al.  Quantitative regional curvature analysis: an application of shape determination for the assessment of segmental left ventricular function in man. , 1987, American heart journal.

[13]  Arnold W. M. Smeulders,et al.  Length estimators for digitized contours , 1987, Comput. Vis. Graph. Image Process..

[14]  James S. Duncan,et al.  Knowledge Directed Left Ventricular Boundary Detection in Equilibrium Radionuclide Angiocardiography , 1987, IEEE Transactions on Medical Imaging.

[15]  M. LeFree,et al.  A comparison of traditional wall motion assessment and quantitative shape analysis: a new method for characterizing left ventricular function in humans. , 1987, American heart journal.

[16]  John C. Platt,et al.  Elastically deformable models , 1987, SIGGRAPH.

[17]  W L Maughan,et al.  Abnormalities of Dynamic Ventricular Shape Change in Patients With Aortic and Mitral Valvular Regurgitation: Assessment by Fourier Shape Analysis and Global Geometric Indexes , 1988, Circulation research.

[18]  Marcel Worring,et al.  Accurate Measurement of Shape at Low Resolution , 1988 .

[19]  S Sideman,et al.  Quantitative characterization and sorting of three-dimensional geometries: application to left ventricles in vivo. , 1989, IEEE transactions on bio-medical engineering.

[20]  Roland T. Chin,et al.  On the Detection of Dominant Points on Digital Curves , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[21]  D. Hamer,et al.  Redefining true ventricular aneurysm. , 1989, American Journal of Cardiology.

[22]  Fred L. Bookstein,et al.  Principal Warps: Thin-Plate Splines and the Decomposition of Deformations , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[23]  Anil K. Jain,et al.  On reliable curvature estimation , 1989, CVPR.

[24]  James S. Duncan,et al.  Parametrically deformable contour models , 1989, Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[25]  P. Anandan,et al.  Shape-based tracking of left ventricular wall motion , 1990, [1990] Proceedings Computers in Cardiology.