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Pattern Recognition and Image Analysis

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01.10.2019 | APPLIED PROBLEMS

Estimation of Blood Flow Velocity in Coronary Arteries Based on the Movement of Radiopaque Agent

verfasst von: S. Yu. Sokolov, S. O. Volchkov, I. S. Bessonov, V. V. Chestukhin, G. V. Kurlyandskaya, F. A. Blyakhman

Erschienen in: Pattern Recognition and Image Analysis | Ausgabe 4/2019

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Abstract

The paper discusses methodological techniques for increasing the diagnostic value of routine angiographic examinations of patients. It presents algorithms for digital processing of heart video images, which make it possible to quantitatively characterize hemodynamics in the coronary bed by determining the velocity of spread of a contrast agent through the arteries. The proposed approach includes several stages and procedures and takes account of the errors caused by the movement of the arteries due to the mechanical activity of the heart. The paper presents the results of estimating coronary blood-flow velocity in a patient with coronary heart disease, which are compared with computer simulation data. The sources of errors, ways to minimize them, and prospects for using the proposed methodology for effective angiographic diagnosis are discussed.

Vorheriger Artikel Segmentation and Feature Extraction of Endoscopic Images for Making Diagnosis of Acute Appendicitis

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Titel: Estimation of Blood Flow Velocity in Coronary Arteries Based on the Movement of Radiopaque Agent
verfasst von: S. Yu. Sokolov
S. O. Volchkov
I. S. Bessonov
V. V. Chestukhin
G. V. Kurlyandskaya
F. A. Blyakhman
Publikationsdatum: 01.10.2019
Verlag: Pleiades Publishing
Erschienen in: Pattern Recognition and Image Analysis / Ausgabe 4/2019
Print ISSN: 1054-6618
Elektronische ISSN: 1555-6212
DOI: https://doi.org/10.1134/S1054661819040163

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