@inproceedings{bcc9032b8d99479f9ff413b662f0427d,
title = "Mean aneurysm flow amplitude ratio comparison between DSA and CFD",
abstract = "The Mean Aneurysm Flow Amplitude ratio (MAFA-ratio) has been proposed to evaluate the efficacy of flow diverting stents during minimally invasive intracranial aneurysm treatment. A method has been described for calculating the MAFA-ratio on high frame-rate digital subtraction angiography (DSA) acquisitions using an optical flow algorithm. In this article we have generated computational fluid dynamics (CFD) simulations using six distinct aneurysms and computed the MAFA-ratios based on these data. Furthermore, the simulations have been used to create virtual angiograms, in order to calculate the MAFA-ratios using the DSA approach. An analysis of the MAFAratios generated by both methods shows that there is a monotone increasing relation between the DSA and CFD based ratios, albeit without a slope being identity. Overall, it can be concluded that the DSA-based ratio is a predictor for the magnitude of aneurysm flow reduction, i.e., for the efficacy of flow diverting stents.",
keywords = "Computational fluid dynamics, Digital subtraction angiography, Flow diversion, Mean aneurysm flow amplitude",
author = "\{van Nijnatten\}, Fred and Odile Bonnefous and Morales, \{Hernan G.\} and Thijs Gr{\"u}nhagen and Roel Hermans and Olivier Brina and Pereira, \{Vitor Mendes\} and Daniel Ruijters",
year = "2015",
doi = "10.1007/978-3-319-24571-3\_58",
language = "English",
isbn = "978-3-319-24570-6",
series = "Lecture Notes in Computer Science (LNCS)",
publisher = "Springer",
pages = "485--492",
editor = "Nassir Navab and Joachim Hornegger and Wells, \{William M.\} and Frangi, \{Alejandro F.\}",
booktitle = "Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015",
address = "Germany",
note = "18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015 ; Conference date: 05-10-2015 Through 09-10-2015",
}