Vascular synthesis based on hemodynamic efficiency principle recapitulates measured cerebral circulation properties in the human brain

Quantifying anatomical and hemodynamical properties of the brain vasculature in vivo is difficult due to limited spatiotemporal resolution neuroimaging, variability between subjects, and bias between acquisition techniques. This work introduces a metabolically inspired vascular synthesis algorithm f...

Full description

Saved in:
Bibliographic Details
Published in:Journal of cerebral blood flow and metabolism 2024-05, Vol.44 (5), p.801-816
Main Authors: Linninger, Andreas A, Ventimiglia, Thomas, Jamshidi, Mohammad, Pascal Suisse, Mathieu, Alaraj, Ali, Lesage, Frédéric, Li, Xin, Schwartz, Daniel L, Rooney, William D
Format: Article
Language:English
Subjects:
Adult
Algorithms
Blood Flow Velocity - physiology
Brain - blood supply
Brain - diagnostic imaging
Brain - physiology
Cerebrovascular Circulation - physiology
Computer Simulation
Hemodynamics - physiology
Humans
Magnetic Resonance Angiography - methods
Magnetic Resonance Imaging - methods
Male
Original
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Quantifying anatomical and hemodynamical properties of the brain vasculature in vivo is difficult due to limited spatiotemporal resolution neuroimaging, variability between subjects, and bias between acquisition techniques. This work introduces a metabolically inspired vascular synthesis algorithm for creating a digital representation of the cortical blood supply in humans. Spatial organization and segment resistances of a cortical vascular network were generated. Cortical folding and macroscale arterial and venous vessels were reconstructed from anatomical MRI and MR angiography. The remaining network, including ensembles representing the parenchymal capillary bed, were synthesized following a mechanistic principle based on hydrodynamic efficiency of the cortical blood supply. We evaluated the digital model by comparing its simulated values with in vivo healthy human brain measurements of macrovessel blood velocity from phase contrast MRI and capillary bed transit times and bolus arrival times from dynamic susceptibility contrast. We find that measured and simulated values reasonably agree and that relevant neuroimaging observables can be recapitulated in silico. This work provides a basis for describing and testing quantitative aspects of the cerebrovascular circulation that are not directly observable. Future applications of such digital brains include the investigation of the organ-wide effects of simulated vascular and metabolic pathologies.
ISSN:0271-678X
1559-7016
1559-7016
DOI:10.1177/0271678X231214840