Key result
Digital reconstructions, morphometry, and computational models are proposed to generate detailed maps of human brain vascular architecture to help predict or treat cerebrovascular disease.
Highlights the need for detailed analysis of brain vascular architecture using state-of-the-art neuroinformatics tools to predict or treat cerebrovascular disease.
Answers are grounded in this paper and cite their sources.
May support advanced cerebrovascular modeling; leaves open whether vascular maps improve clinical prediction or treatment.
Many non-invasive imaging techniques based upon hemodynamic responses of blood vessels have provided data for analysis of brain vasculature. However, these data lack the detail that could be ascertained by exploiting state-of-the-art neuroinformatics tools. A more complete and sufficiently detailed analysis of brain vascular architecture is critical for a wide variety of applications, including the development of models which may help predict or treat cerebrovascular disease.
No takes yet. Share an insight, caveat, or question.
Susan N. Wright (2013) studied Cerebrovascular disease. Digital reconstructions, morphometry, and computational models was evaluated. Digital reconstructions, morphometry, and computational models are proposed to generate detailed maps of human brain vascular architecture to help predict or treat cerebrovascular disease.
Synapse has enriched 8 closely related papers on similar clinical questions. Consider them for comparative context: