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

Autor: Ingrid Digernes, Atle Bjørnerud, Einar O. Vik-Mo, Kyrre E. Emblem, Fredric A A Courivaud, Torstein R. Meling, Svein Are Sirirud Vatnehol, Grethe Løvland
Jazyk: angličtina
Rok vydání: 2017
Předmět:
vessel architectural imaging
Tumour heterogeneity
DSC-MRI
Cerebrovascular Circulation/physiology
Contrast Media
Transit time
computer.software_genre
Models
Biological

Magnetic Resonance Imaging/methods
030218 nuclear medicine & medical imaging
Brain/blood supply/diagnostic imaging/metabolism
03 medical and health sciences
0302 clinical medicine
Models
Voxel
glioma
medicine
Humans
Vascular tissue
Capillaries/diagnostic imaging
Physics
medicine.diagnostic_test
vascular modelling
Brain
Magnetic resonance imaging
Anatomy
Blood flow
Original Articles
Biological
Oxygen/metabolism
Magnetic Resonance Imaging
ddc:616.8
Capillaries
Oxygen
Neurology
Cerebrovascular Circulation
Neurology (clinical)
tumour heterogeneity
Cardiology and Cardiovascular Medicine
Vascular function
computer
Monte Carlo Method
030217 neurology & neurosurgery
Dynamic susceptibility
Biomedical engineering
Zdroj: Journal of Cerebral Blood Flow & Metabolism
Journal of Cerebral Blood Flow and Metabolism, Vol. 37, No 6 (2017) pp. 2237-2248
ISSN: 1559-7016
0271-678X
Popis: 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.
Databáze: OpenAIRE