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Understanding the Role of Hemodynamics in the Initiation, Progression, Rupture, and Treatment Outcome of Cerebral Aneurysm from Medical Image-Based Computational Studies
Author(s) -
Marcelo A. Castro
Publication year - 2013
Publication title -
isrn radiology
Language(s) - English
Resource type - Journals
ISSN - 2314-4084
DOI - 10.5402/2013/602707
Subject(s) - hemodynamics , aneurysm , visualization , computer science , radiology , outcome (game theory) , intensive care medicine , medicine , data science , artificial intelligence , cardiology , mathematics , mathematical economics
About a decade ago, the first image-based computational hemodynamic studies of cerebral aneurysms were presented. Their potential for clinical applications was the result of a right combination of medical image processing, vascular reconstruction, and grid generation techniques used to reconstruct personalized domains for computational fluid and solid dynamics solvers and data analysis and visualization techniques. A considerable number of studies have captivated the attention of clinicians, neurosurgeons, and neuroradiologists, who realized the ability of those tools to help in understanding the role played by hemodynamics in the natural history and management of intracranial aneurysms. This paper intends to summarize the most relevant results in the field reported during the last years.

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