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Related Experiment Video

Updated: Jun 25, 2026

A Volumetric Method for Quantification of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage

A Volumetric Method for Quantification of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage

Published on: July 28, 2018

Estimating cerebral blood volume with expanded vascular space occupancy slice coverage.

Christopher B Glielmi¹, Ronald A Schuchard, X P Hu

¹Department of Biomedical Engineering, Emory University, Georgia Institute of Technology, Atlanta, GA 30322, USA. christopher.glielmi@bme.gatech.edu

Magnetic Resonance in Medicine

|March 3, 2009

Summary

This study enhances the vascular space occupancy (VASO) technique for quantifying cerebral blood volume (CBV) by extending it to multiple slices and accounting for blood inflow. The improved method provides reliable CBV measurements and estimates of cerebral metabolic rate of oxygen (CMRO2).

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Last Updated: Jun 25, 2026

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Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

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Published on: April 13, 2013

Area of Science:

Neuroimaging
Physiology
Biophysics

Background:

The vascular space occupancy (VASO) technique quantifies cerebral blood volume (CBV) but faces challenges like limited slice coverage and confounding blood inflow.
Previous models for CBV quantification using VASO and blood oxygenation level-dependent (BOLD) signals had limitations.

Purpose of the Study:

To extend the existing VASO model to multi-slice imaging and incorporate corrections for confounding blood inflow.
To simultaneously acquire and analyze VASO, cerebral blood flow (CBF), and BOLD data using a multiecho sequence.
To accurately estimate cerebral metabolic rate of oxygen (CMRO2) without assuming resting CBV.

Main Methods:

Developed an extended VASO model to address multi-slice coverage and blood inflow effects.
Applied the model to data acquired using a multiecho sequence, simultaneously capturing VASO, CBF, and BOLD signals.
Utilized a multiple compartment model for CMRO2 estimation, independent of resting CBV assumptions.

Main Results:

Achieved CBV values during activation and rest (7.9 ± 0.3 and 5.6 ± 0.3 ml/100 ml brain) consistent with prior studies.
Detected an increased effective blood relaxation rate (0.65 ± 0.01), indicative of fresh blood inflow.
Obtained CMRO2 estimates (18.7 ± 17.0%) within established ranges, validating the model's accuracy.

Conclusions:

The enhanced VASO model effectively quantifies CBV across multiple slices while correcting for blood inflow.
Simultaneous acquisition of VASO, CBF, and BOLD provides comprehensive neuroimaging data.
The method enables reliable CMRO2 estimation, advancing the understanding of brain metabolism and oxygenation.