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Proceedings Paper

Tracking and analysis of the left ventricle wall's motion
Author(s): Olivier Leteneur; Mehdi Halit; Xavier Marchandise; Jean-Paul Dubus
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Paper Abstract

The purpose of this work is to study the displacement of myocardial walls. We have used 2D echographic images acquired in different apical views. 'Fluctuations' between extracted contours complicate accurate measurement and analytical interpretation. Too smooth these contours, we use snakes because of the elastic movement of the left ventricle (LV). The study of the walls' displacement is done in each incidence. The intersection between ventricle's contours and parallel planes to cross sections generates segments. The tracking of these segments' length, during the cardiac cycle, allows us to analyze the movement. This study allows to compute volumes, to determined pathologies related to the dysfunctioning of the ventricle's walls and to control the excitation's propagation intended to ensure the heart's contraction. Classical methods consist in modeling the ventricle from reconstructions with surfaces or parametric models. Nevertheless, it is difficult to exploit data and to determine parameters indicating precisely the present of a pathology. Our method allows to determine pathological zones more precisely. The first results obtained with few incidences are correct. Yet, more important the number o incidences is more complete diagnosis will be.

Paper Details

Date Published: 9 May 1997
PDF: 10 pages
Proc. SPIE 3033, Medical Imaging 1997: Physiology and Function from Multidimensional Images, (9 May 1997); doi: 10.1117/12.274058
Show Author Affiliations
Olivier Leteneur, Univ. des Sciences et Technologies de Lille (France) and Institut de Technologie Medicale (France)
Mehdi Halit, Univ. des Sciences et Technologies de Lille (France)
Xavier Marchandise, Institut de Technologie Medicale (France)
Jean-Paul Dubus, Univ. des Sciences et Technologies de Lille (France)

Published in SPIE Proceedings Vol. 3033:
Medical Imaging 1997: Physiology and Function from Multidimensional Images
Eric A. Hoffman, Editor(s)

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