Next: Introduction

Shape-Based 4D Left Ventricular Myocardial Function Analysis

P. Shi, A. Amini, G. Robinson, A. Sinusas, C.T. Constable, and J. Duncan

Departments of Electrical Engineering, Diagnostic Radiology, and Medicine
332 BML, 310 Cedar Street
Yale University
New Haven, CT 06520-8042


This paper describes further efforts aimed at more accurately and objectively determining and quantifying the local, regional and global function of the left ventricle (LV) of the heart from four-dimensional (4D) image data. By studying the endocardial-epicardial surface properties of LV wall over many temporal frames within a cardiac cycle and over a range of conditions of LV wall abnormalities, we will be able to better understand the physiological processes associated with ischemic heart disease.

In this paper, we will first briefly describe the setup for an in vivo experimental model and the imaging techniques, including the use of implanted imaging-opaque markers that will permit us to establish the gold standard against which the validity of our non-invasive image analysis algorithms can be evaluated, as well as to permit us to study the efficacy of using in vivo, image-derived measures of function for predicting regional myocardial viability. Then, the shape-based image analysis methods, particularly our new developments in surface triangulation from segmented contour stacks of LV wall, surface curvature estimation, point-wise non-rigid motion tracking, quantitative measures of LV motion and thickening, and 3D visualization techniques, will be discussed. Finally, initial experimental results for surfaces derived from real image sequences will be presented.

Keywords: motion analysis, deformable models, multidimensional surface model, multidimensional data visualization.
Wed Feb 23 15:02:52 EST 1994