Automatic left ventricle wall motion detection in gated SPECT perfusion images

Marco Antonio Gutierrez; Marina de Sa Rebelo; Sergio Shiguemi Furuie; Lorena Pozzo; Jose Claudio Meneghetti; Candido Pinto de Melo

doi:10.1117/12.428124

21 May 2001 Automatic left ventricle wall motion detection in gated SPECT perfusion images

Marco Antonio Gutierrez, Marina de Sa Rebelo, Sergio Shiguemi Furuie, Lorena Pozzo, Jose Claudio Meneghetti, Candido Pinto de Melo

Author Affiliations +

Proceedings Volume 4321, Medical Imaging 2001: Physiology and Function from Multidimensional Images; (2001) https://doi.org/10.1117/12.428124
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

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.

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Marco Antonio Gutierrez, Marina de Sa Rebelo, Sergio Shiguemi Furuie, Lorena Pozzo, Jose Claudio Meneghetti, and Candido Pinto de Melo "Automatic left ventricle wall motion detection in gated SPECT perfusion images", Proc. SPIE 4321, Medical Imaging 2001: Physiology and Function from Multidimensional Images, (21 May 2001); https://doi.org/10.1117/12.428124

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KEYWORDS

3D image processing

Single photon emission computed tomography

Optical flow

Visualization

Heart

Image classification

Motion detection

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