Quantitative 3D analysis of shape dynamics of the left ventricle

Barry C. Scowen; Stephen L. Smith; Mani A. Vannan; Marie Arsenault

doi:10.1117/12.312560

3 July 1998 Quantitative 3D analysis of shape dynamics of the left ventricle

Barry C. Scowen, Stephen L. Smith, Mani A. Vannan, Marie Arsenault

Proceedings Volume 3337, Medical Imaging 1998: Physiology and Function from Multidimensional Images; (1998) https://doi.org/10.1117/12.312560
Event: Medical Imaging '98, 1998, San Diego, CA, United States

Abstract

There is an established link between Left Ventricular (LV) geometry and its performance. As a consequence of ischemic heart disease and the attempt to relieve myocardial tissue stress, ventricle shape begins to distort from a conical to spherical geometry with a reduction in pumping efficiency of the chamber. If untreated, premature heart failure will result. To increase the changes of successful treatment it is obviously important for the benefit of the patient to detect these abnormalities as soon as possible. It is the development of a technique to characterize and quantify the shape of the left ventricle that is described here. The system described in this paper uses a novel helix model which combines the advantages of current two dimensional (2D) quantitative measures which provide limited information, with 3D qualitative methods which provide accurate reconstructions of the LV using computationally expensive rendering schemes. A phantom object and dog ventricle (normal/abnormal) were imaged and helical models constructed. The result are encouraging with differences between normal and abnormal ventricles in both diastole and systole able to be determined. Further work entails building a library of subjects in order to determine the relationship between ventricle geometry and quantitative measurements.

Citation Download Citation

Barry C. Scowen, Stephen L. Smith, Mani A. Vannan, and Marie Arsenault "Quantitative 3D analysis of shape dynamics of the left ventricle", Proc. SPIE 3337, Medical Imaging 1998: Physiology and Function from Multidimensional Images, (3 July 1998); https://doi.org/10.1117/12.312560

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