Machine learning assisted reflectance spectral characterisation of coronary thrombi correlates with microvascular injury in patients with ST-segment elevation acute coronary syndrome

<strong>Aims: </strong>We set out to further develop reflectance spectroscopy for the characterisation and quantification of coronary thrombi. Additionally, we explore the potential of our approach for use as a risk stratification tool by exploring the relation of reflectance spectra to...

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Bibliographic Details
Main Authors: Kotronias, RA, Fielding, K, Greenhalgh, C, Lee, R, Alkhalil, M, Marin, F, Emfietzoglou, M, Banning, AP, Vallance, C, Channon, KM, De Maria, GL
Format: Journal article
Language:English
Published: Frontiers Media 2022