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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.

Marcelo A Castro
Published in: ISRN radiology (2013)
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.
Keyphrases
  • data analysis
  • deep learning
  • case control
  • healthcare
  • subarachnoid hemorrhage
  • coronary artery
  • working memory
  • risk assessment
  • cerebral ischemia
  • machine learning
  • human health
  • climate change
  • blood brain barrier