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Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol

Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol

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Anisotropic phantom to calibrate high-q diffusion MRI methods.

M E Komlosh¹, D Benjamini², A S Barnett²

¹Section on Quantitative Imaging and Tissue Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA; Center for Neuroscience and Regenerative Medicine, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD, USA.

Journal of Magnetic Resonance (San Diego, Calif. : 1997)

|December 13, 2016

Summary

This summary is machine-generated.

A novel silicon oil-filled glass capillary array serves as an anisotropic diffusion MRI phantom. This tool validates diffusion MRI experiments and processing pipelines for accurate microstructure imaging.

Keywords:

Anisotropic diffusion DDE Diffusion MRI Microstructure Phantom d-PFG

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Area of Science:

Biomedical Engineering
Medical Imaging Physics

Background:

Diffusion MRI requires precise calibration and validation for accurate microstructure imaging.
Existing phantoms may not fully capture anisotropic diffusion properties.

Purpose of the Study:

To introduce and validate a silicon oil-filled glass capillary array as an anisotropic diffusion MRI phantom.
To establish a gold standard for calibrating and validating high-q diffusion MRI experiments.

Main Methods:

Developed a silicon oil-filled glass capillary array as an anisotropic phantom.
Utilized a computational/theoretical pipeline for data analysis.
Tested high angular resolution diffusion imaging (HARDI) and double pulsed-field gradient (d-PFG) MRI acquisition schemes.
Compared MRI-derived microcapillary diameter predictions with optical microscopy.

Main Results:

The anisotropic phantom enabled testing of HARDI and d-PFG MRI schemes.
MRI-based microcapillary diameter predictions showed good agreement with optical microscopy.
The phantom-pipeline combination provides a robust method for validation.

Conclusions:

The proposed silicon oil-filled glass capillary array is a valuable tool for anisotropic diffusion MRI.
This phantom facilitates quality control and assurance for microstructure imaging experiments.
It serves as a gold standard for validating advanced diffusion MRI techniques and analysis pipelines.