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CoroFinder: A New Tool for Real Time Detection and Tracking of Coronary Arteries in Contrast-Free Cine-Angiography.
Zaffino, Paolo; Spadea, Maria Francesca; Indolfi, Ciro; De Rosa, Salvatore.
Afiliación
  • Zaffino P; Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.
  • Spadea MF; Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy.
  • Indolfi C; Department of Medical and Surgical Sciences, Magna Graecia University, 88100 Catanzaro, Italy.
  • De Rosa S; Mediterranea Cardiocentro, Via Orazio, 2, 80122 Naples, Italy.
J Pers Med ; 12(3)2022 Mar 06.
Article en En | MEDLINE | ID: mdl-35330411
Coronary Angiography (CA) is the standard of reference to diagnose coronary artery disease. Yet, only a portion of the information it conveys is usually used. Quantitative Coronary Angiography (QCA) reliably contributes to improving the measurable assessment of CA. In this work, we developed a new software, CoroFinder, able to automatically identify epicardial coronary arteries and to dynamically track the vessel profile in dye-free frames. The coronary tree is automatically segmented by Frangi's filter in the angiogram's frames where vessels are contrasted ("template frames"). Afterward, the image similarity among each template frame and the dye-free images is scored by cross-correlation. Finally, each dye-free image is associated with the most similar template frame, resulting in an estimation of vessel contour. CoroFinder allows locating the position of coronary arteries in absence of contrast dye. The developed algorithm is robust to diverse vessel curvatures, variation of vessel widths, and the presence of stenoses. This article describes the newly developed CoroFinder algorithm and the associated software and provides an overview of its potential application in research and for translation to the clinic.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: J Pers Med Año: 2022 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: J Pers Med Año: 2022 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza