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Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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Updated: May 27, 2025

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

Quantitative multiple boli arterial spin labeling.

Samantha Paterson¹, Antoine Vallatos², Camille Graff²

¹Research and Innovation, University of Aberdeen, UK; Glasgow Experimental MRI Centre, School of Psychology and Neuroscience, University of Glasgow, UK.

Magnetic Resonance Imaging

|February 19, 2025

Summary

This summary is machine-generated.

We developed a new kinetic model for multi-breath-hold arterial spin labeling (mbASL) to quantify cerebral blood flow (CBF). This validated model provides accurate CBF values comparable to existing literature, enhancing MRI techniques.

Keywords:

ASL Mouse brain Perfusion Quantification Rat brain mbASL

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Last Updated: May 27, 2025

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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

Area of Science:

Magnetic Resonance Imaging
Physiology
Biomedical Engineering

Background:

Multi-breath-hold arterial spin labeling (mbASL) is an MRI technique utilizing adiabatic radio-frequency pulses for blood water labeling.
As a hybrid of pCASL and PASL, mbASL requires a specific kinetic model for accurate signal quantification.

Purpose of the Study:

To develop and validate a modified kinetic model for mbASL.
To accurately quantify cerebral blood flow (CBF) using the proposed mbASL kinetic model.

Main Methods:

Modified the Buxton standard kinetic model to accommodate multiple labeling pulses with variable delays.
Optimized signal-to-noise ratio (SNR) by adjusting adiabatic pulse number and inversion slab thickness.
Applied the developed mbASL kinetic model for CBF mapping.

Main Results:

Generated mbASL-derived cerebral blood flow maps.
Obtained average CBF values of 110 ml/100 g/min in mice and 96 ml/100 g/min in rats.
Demonstrated the hybrid nature of the mbASL sequence through parameter variation.

Conclusions:

Successfully quantified and validated the mbASL kinetic model.
Confirmed that the CBF values derived from the mbASL model align with established literature values.
Validated mbASL as a reliable method for accurate CBF measurement.