@inproceedings{f4114d1bcfc548f2adce2dc8e9af64ef,
title = "Efficient and Accurate Computation of Quantitative Flow Ratio (QFR) for Physiological Assessment of Coronary Artery Stenosis from a Single Angiographic View",
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.",
keywords = "Angiography, Coronary artery, Fractional flow reserve, Hagen-Poiseuille, Pressure drop, Stenosis",
author = "Bourantas, {George C.} and Grigorios Tsigkas and Konstantinos Katsanos and Bekiris, {Fivos V.} and Zwick, {Benjamin F.} and Adam Wittek and Karol Miller and Periklis Davlouros",
year = "2022",
month = nov,
doi = "10.1007/978-3-031-09327-2_8",
language = "English",
isbn = "9783031093265",
series = "MICCAI: International Conference on Medical Image Computing and Computer-Assisted Intervention",
publisher = "Springer Nature Switzerland AG",
pages = "121--131",
editor = "Nielsen, {Paul M.F.} and Nash, {Martyn P.} and Xinshan Li and Karol Miller and Adam Wittek",
booktitle = "Computational Biomechanics for Medicine",
address = "Switzerland",
edition = "1",
note = "International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), MICCAI ; Conference date: 27-09-2021 Through 01-10-2021",
}