What question did this study set out to answer?

Develop and evaluate a scale-invariant mathematical framework for simulating subject-specific whole-brain circulation and microvascular perfusion using continuous multi-scale flow modeling.

June 25, 2019PLoS Computational BiologyOpen Access

A new framework for assessing subject-specific whole brain circulation and perfusion using MRI-based measurements and a multi-scale continuous flow model

View Full Paper

Ask AI

Bookmark

Authors

EHErlend HodnelandHaukeland University Hospital EHErik HansonWestern Norway University of Applied Sciences OSOve SævareidNORCE Research AS

Discussion

Member takes

Implication

Computational modeling study demonstrates scale-invariant simulation of whole-brain perfusion using magnetic resonance imaging, highlighting its utility for clinical diagnostics and surgical planning.

Key Points

Develop and evaluate a scale-invariant mathematical framework for simulating subject-specific whole-brain circulation and microvascular perfusion using continuous multi-scale flow modeling.
Segmented human brain anatomy down to MRI voxel resolution, isolating arterial and venous networks via time-of-flight MRI and quantitative susceptibility mapping.
Coupled macro-scale large-vessel flow modeled via the Hagen-Poiseuille equation with micro-scale capillary flow modeled as two-compartment porous media flow using spatial support functions.
Simulated tracer propagation across realistic human brain geometry, successfully distinguishing fluid transit across grey matter, white matter, and large vascular networks.
Provided a viable, scale-invariant alternative to traditional one-compartment tracer kinetic models for evaluating brain perfusion and field parameter restoration.

Cite This Study

Hodneland et al. (2019) studied this question.

synapsesocial.com/papers/6a2000747ea8b8c49065a467 https://doi.org/10.1371/journal.pcbi.1007073

View Full Paper

Ask AI

Bookmark