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Scientific article
English

A theoretical framework for determining cerebral vascular function and heterogeneity from dynamic susceptibility contrast MRI

Published inJournal of Cerebral Blood Flow and Metabolism, vol. 37, no. 6, p. 2237-2248
Publication date2017
Abstract

Mapping the complex heterogeneity of vascular tissue in the brain is important for understanding cerebrovascular disease. In this translational study, we build on previous work using vessel architectural imaging (VAI) and present a theoretical framework for determining cerebral vascular function and heterogeneity from dynamic susceptibility contrast magnetic resonance imaging (MRI). Our tissue model covers realistic structural architectures for vessel branching and orientations, as well as a range of hemodynamic scenarios for blood flow, capillary transit times and oxygenation. In a typical image voxel, our findings show that the apparent MRI relaxation rates are independent of the mean vessel orientation and that the vortex area, a VAI-based parameter, is determined by the relative oxygen saturation level and the vessel branching of the tissue. Finally, in both simulated and patient data, we show that the relative distributions of the vortex area parameter as a function of capillary transit times show unique characteristics in normal-appearing white and gray matter tissue, whereas tumour-voxels in comparison display a heterogeneous distribution. Collectively, our study presents a comprehensive framework that may serve as a roadmap for in vivo and per-voxel determination of vascular status and heterogeneity in cerebral tissue.

Keywords
  • Brain/blood supply/diagnostic imaging/metabolism
  • Capillaries/diagnostic imaging
  • Cerebrovascular Circulation/physiology
  • Contrast Media
  • Humans
  • Magnetic Resonance Imaging/methods
  • Models
  • Biological
  • Monte Carlo Method
  • Oxygen/metabolism
Citation (ISO format)
DIGERNES, Ingrid et al. A theoretical framework for determining cerebral vascular function and heterogeneity from dynamic susceptibility contrast MRI. In: Journal of Cerebral Blood Flow and Metabolism, 2017, vol. 37, n° 6, p. 2237–2248. doi: 10.1177/0271678X17694187
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Article (Published version)
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ISSN of the journal0271-678X
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