Deep Learning-Based Prediction of Fractional Flow Reserve along the Coronary Artery. (arXiv:2308.04923v1 [eess.IV])

Functionally significant coronary artery disease (CAD) is caused by plaque
buildup in the coronary arteries, potentially leading to narrowing of the
arterial lumen, i.e. coronary stenosis, that significantly obstructs blood flow
to the myocardium. The current reference for establishing the presence of a
functionally significant stenosis is invasive fractional flow reserve (FFR)
measurement. To avoid invasive measurements, non-invasive prediction of FFR
from coronary CT angiography (CCTA) has emerged. For this, machine learning
approaches, characterized by fast inference, are increasingly developed. …

arxiv cad current deep learning disease flow prediction reference