Abstract
The paper considers the problem of gated myocardial perfusion single photon emission computed tomography (SPECT) data processing. An approach to the quantitative analysis of gated myocardial perfusion SPECT data used in software developed in the SPbSU is presented. The article presents and formalizes the complete data processing workflow. All the main tasks of the data processing are considered. Mathematical representation of problem domain objects is presented. A detailed algorithm of the data processing is given. The algorithmis implemented as component of the data processing software suite.
Highlights
Development of mathematical models, algorithms and software for modern medical diagnostics is an important task
Methods of construction of parametric images in cardiology based on Fourier and wavelet analysis are evolving [Chen et al, 2005; Chen et al, 2011; Hsu et al, 2013; Babin and Kotina, 2014; Ostroumov et al, 2015; Nakajima et al, 2017]
The main software packages for the treatment of cardiac studies are developed at Cedars Sinai Medical Center (Los Angeles, USA) [Germano et al, 2007], Michigan University/INVIA, LLC (Ann arbor, USA) [Ficaro et al, 2007] and Emory University/Syntermed Inc. (Atlanta, USA) [Garcia et al, 2007]
Summary
Development of mathematical models, algorithms and software for modern medical diagnostics is an important task It helps improve the quality and information value of medical data and allows high-precision diagnostics in the early stages of the disease. There is a tendency to complete automation of processing and interpretation of radioisotope cardiac studies [Slomka et al, 2017] For this purpose problems of the myocardium segmentation and quantitative analysis are considered [Germano and Slomka, 2017]. To assess LV function, it is necessary to obtain a quantitative and visual representation of systolic thickening, myocardial wall movement, as well as a numerical and visual assessment of LV dyssynchrony, which is of great importance for patients intent for resynchronization therapy [Ostroumov et al, 2011]
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