Automatic quantification of liver-heart cross-talk for quality assessment in SPECT myocardial perfusion imaging

Guo-Qing Wei; Anant Madabhushi; JianZhong Qian; John Engdahl

doi:10.1117/12.467049

9 May 2002 Automatic quantification of liver-heart cross-talk for quality assessment in SPECT myocardial perfusion imaging

Guo-Qing Wei, Anant Madabhushi, JianZhong Qian, John Engdahl

Author Affiliations +

Proceedings Volume 4684, Medical Imaging 2002: Image Processing; (2002) https://doi.org/10.1117/12.467049
Event: Medical Imaging 2002, 2002, San Diego, California, United States

Abstract

In the single-photon emission computed tomography (SPECT), it is highly desirable to provide physicians with a measure of the strength of the liver-heart cross talk as a means of assessing the quality of the images, so that appropriate actions can be taken to avoid false diagnosis. Liver-heart cross talk is an phenomenon in which the liver count interferes with the heart count in 3D reconstruction, which generates artifacts in the reconstructed images. In this paper, we propose an automatic method for quantification of such liver-heart cross talk. The system performs heart detection followed by non-heart organ segmentation and quantification of their activities. An appearance-based approach is applied to find the heart center in each image, with invariance to image intensity and contrast. Then heart and non-heart activities are quantified in each image. A measurement formula is proposed to compute the amount of liver-heart cross talk as a function of the size of the non-heart activity regions, of the strengths of the heart and non-heart activities, and of the distance of the non-heart regions to the heart. The method has been tested on 150 patient studies of different isotopes and acquisition types, with very promising results.

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Guo-Qing Wei, Anant Madabhushi, JianZhong Qian, and John Engdahl "Automatic quantification of liver-heart cross-talk for quality assessment in SPECT myocardial perfusion imaging", Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); https://doi.org/10.1117/12.467049

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KEYWORDS

Heart

Liver

Single photon emission computed tomography

Expectation maximization algorithms

Image segmentation

3D modeling

Reconstruction algorithms

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