Efficient and Accurate Computation of Quantitative Flow Ratio (QFR) for Physiological Assessment of Coronary Artery Stenosis from a Single Angiographic View

George C. Bourantas, Grigorios Tsigkas, Konstantinos Katsanos, Fivos V. Bekiris, Benjamin F. Zwick, Adam Wittek, Karol Miller, Periklis Davlouros

Research output: Chapter in Book/Conference paperConference paperpeer-review

Abstract

In this study we develop a fast (less than 30 s) method to compute the quantitative flow ratio (QFR) from angiographic images. We evaluate its diagnostic accuracy in patients with intermediate coronary stenosis through comparison with invasively measured fractional flow reserve (FFR). Our method uses a single angiographic view with minimal vessel foreshortening and overlap to compute geometrical data (vessel length, stenosis length, diameter of normal unobstructed vessel, diameter of stenosed vessel). Finally, we evaluate the diagnostic performance of our 2D-based QFR in the physiological assessment of intermediate coronary lesions.

Original languageEnglish
Title of host publicationComputational Biomechanics for Medicine
Subtitle of host publicationTowards Translation and Better Patient Outcomes
EditorsPaul M.F. Nielsen, Martyn P. Nash, Xinshan Li, Karol Miller, Adam Wittek
PublisherSpringer Nature Switzerland AG
Pages121-131
Number of pages11
Edition1
ISBN (Electronic)9783031093272
ISBN (Print)9783031093265
DOIs
Publication statusPublished - Nov 2022
EventInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) - Strasbourg, France
Duration: 27 Sept 20211 Oct 2021

Publication series

NameMICCAI: International Conference on Medical Image Computing and Computer-Assisted Intervention

Conference

ConferenceInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
Abbreviated titleMICCAI
Country/TerritoryFrance
CityStrasbourg
Period27/09/211/10/21

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