@inproceedings{738291e040af4301983862916b1f24dc,
title = "Information theoretic measurement of blood flow complexity in vessels and aneurysms: Interlacing complexity index",
abstract = "Haemodynamics is believed to be a crucial factor in the aneurysm formation, evolution and eventual rupture. The 3D blood flow is typically derived by computational fluid dynamics (CFD) from patient-specific models obtained from angiographic images. Typical quantitative haemodynamic indices are local. Some qualitative classifications of global haemodynamic features have been proposed. However these classifications are subjective, depending on the operator visual inspection. In this work we introduce an information theoretic measurement of the blood flow complexity, based on Shannon{\textquoteright}s Mutual Information, named Interlacing Complexity Index (ICI). ICI is an objective quantification of the flow complexity from aneurysm inlet to aneurysm outlets. It measures how unpredictable is the location of the streamlines at the outlets from knowing the location at the inlet, relative to the scale of observation. We selected from the @neurIST database a set of 49 cerebral vasculatures with aneurysms in the middle cerebral artery. Surface models of patient-specific vascular geometries were obtained by geodesic active region segmentation and manual correction, and unsteady flow simulations were performed imposing physiological flow boundary conditions. The obtained ICI has been compared to several qualitative classifications performed by an expert, revealing high correlations.",
keywords = "Aneurysms, CFD, Flow complexity, Haemodynamics, Mutual information",
author = "Pozo, {Jose M.} and Geers, {Arjan J.} and Frangi, {Alejandro F.}",
note = "Funding Information: Acknowledgments. The work has been partially supported by the project OCEAN (EP/M006328/1) funded by the Engineering and Physical Sciences Research Council. Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017 ; Conference date: 11-09-2017 Through 13-09-2017",
year = "2017",
doi = "10.1007/978-3-319-66185-8_27",
language = "English",
isbn = "9783319661841",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag Italia",
pages = "233--241",
editor = "Pierre Jannin and Simon Duchesne and Maxime Descoteaux and Alfred Franz and Collins, {D. Louis} and Lena Maier-Hein",
booktitle = "Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings",
address = "Italy",
}