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Updated: May 5, 2026

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling

Published on: May 30, 2011

MVP-VSASL: measuring MicroVascular Pulsatility using velocity-selective arterial spin labeling.

Conan Chen^1,2,3, Ryan A Barnes^1,2, Katherine J Bangen^4,5

¹Center for Functional MRI, University of California San Diego, La Jolla, California, USA.

Magnetic Resonance in Medicine

|January 31, 2025

Summary

This summary is machine-generated.

We developed MVP-VSASL, a new method using velocity-selective arterial spin labeling to measure cerebral microvascular pulsatility. This technique shows promise for studying age-related changes and cognitive disorders.

Keywords:

VSASL ASL microvascular pulsatility velocity selective arterial spin labeling

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Last Updated: May 5, 2026

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling

Published on: May 30, 2011

Non-invasive Assessment of Microvascular and Endothelial Function

Non-invasive Assessment of Microvascular and Endothelial Function

Published on: January 29, 2013

Micro-particle Image Velocimetry for Velocity Profile Measurements of Micro Blood Flows

Published on: April 25, 2013

Area of Science:

Neuroimaging
Biomedical Engineering
Cardiovascular Physiology

Background:

Cerebral microvascular pulsatility reflects cardiac-dependent blood flow fluctuations.
Assessing microvascular pulsatility is crucial for understanding cerebrovascular health.
Existing methods may have limitations in specificity and resolution.

Purpose of the Study:

Introduce MVP-VSASL, a novel technique for measuring cerebral microvascular pulsatility.
Leverage the small-vessel specificity of velocity-selective arterial spin labeling (VSASL).
Establish a method for quantifying microvascular pulsatility index (MPI) using VSASL.

Main Methods:

Developed a theoretical model linking VSASL signal to MPI.
Guided selection of VSASL bolus duration for optimal signal-to-noise ratio (SNR).
Validated the model in humans using cardiac-gated VSASL and assessed repeatability and age association.

Main Results:

Theoretical model demonstrated excellent agreement with empirical data (R²=0.898).
Demonstrated excellent intrasession repeatability of pulsatility measurements.
Showcased potential for voxel-wise pulsatility mapping and age association studies.

Conclusions:

Introduced MVP-VSASL, a novel VSASL-based technique for cerebral microvascular pulsatility.
This method facilitates investigation of microvascular damage in cognitive disorders.
MVP-VSASL offers a promising tool for advancing cerebrovascular research.