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Proceedings Paper

Automatic left ventricle wall motion detection in gated SPECT perfusion images
Author(s): Marco Antonio Gutierrez; Marina de Sa Rebelo; Sergio Shiguemi Furuie; Lorena Pozzo; Jose Claudio Meneghetti; Candido Pinto de Melo
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Paper Abstract

The visualization of the left ventricle (LV) motion in gated SPECT studies is complicated by the fact that 3D density images cannot be directly presented using common display devices. A number of techniques, most of them concerned with visualization, have been developed to aid in the classification of the images. However, it has been shown that interpretation of LV images by strictly visual techniques is subject to errors and inconsistency. For this reason, assistance in diagnosis can be improved only through the development of automatic or semi-automatic methods to analyze and quantify LV parameters. In this work, we propose an automatic method to estimate the myocardial kinetic energy directly from gated SPECT sequences. It is based on our previous work improved by a multi-resolution technique. Specifically, the method quantifies the 3D LV motion by a series of 3D velocity vector fields computed automatically for each voxel on the sequence of images. Based on this vector analysis it is possible to estimate a new physiological parameter, the kinetic energy index (kef), that may be an indication of the cardiac condition. The proposed method was applied in a group of 30 volunteers. The ke index measured for this population was 0.8582 +/- 0.0365.

Paper Details

Date Published: 21 May 2001
PDF: 8 pages
Proc. SPIE 4321, Medical Imaging 2001: Physiology and Function from Multidimensional Images, (21 May 2001); doi: 10.1117/12.428124
Show Author Affiliations
Marco Antonio Gutierrez, Univ. of Sao Paulo Medical School (Brazil)
Marina de Sa Rebelo, Univ. of Sao Paulo Medical School and Univ. Estadual de Campinas (Brazil)
Sergio Shiguemi Furuie, Univ. of Sao Paulo Medical School (Brazil)
Lorena Pozzo, Univ. of Sao Paulo Medical School (Brazil)
Jose Claudio Meneghetti, Univ. of Sao Paulo Medical School (Brazil)
Candido Pinto de Melo, Univ. of Sao Paulo Medical School (Brazil)

Published in SPIE Proceedings Vol. 4321:
Medical Imaging 2001: Physiology and Function from Multidimensional Images
Chin-Tu Chen; Anne V. Clough, Editor(s)

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