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Magnetic Resonance Imaging

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

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Understanding ADC variation by fat content effect using a dual-function MRI phantom.

Yi-Jui Liu¹, Tung-Sheng Tsai², Ya-Hui Li³

¹Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan, Republic of China.

European Radiology Experimental

|February 12, 2024

Summary

This summary is machine-generated.

A novel dual-function phantom quantifies fat content and glass bead density effects on apparent diffusion coefficient (ADC) in simulated human tissues. This MRI phantom reveals how fat fraction and bead density influence ADC measurements, crucial for clinical applications.

Keywords:

Adipose tissue Diffusion magnetic resonance imaging Phantoms (imaging)Quality assurance (healthcare)Quality control

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Area of Science:

Biomedical Imaging
Medical Physics
Quantitative MRI

Background:

Developing MRI phantoms to simulate human tissues is essential for accurate quantitative measurements.
Existing phantoms lack the capability to simultaneously assess fat content and tissue density variations.
Quantifying apparent diffusion coefficient (ADC) is critical for various diagnostic applications.

Purpose of the Study:

To develop and validate a novel dual-function MRI phantom.
To quantify the influence of varying fat content (FC) and glass bead density (GBD) on ADC.
To simulate human tissue properties for improved MRI analysis.

Main Methods:

A dual-function phantom was created using fat-water emulsions with varying FCs (0-50%) and GBDs (0-1.0 g/50 mL).
Fat fraction (FF) was measured using iterative decomposition of water and fat with echo asymmetry and least squares estimation-IQ (IDEAL-IQ).
Apparent diffusion coefficient (ADC) was measured using single-shot echo-planar diffusion-weighted imaging (SS-EP-DWI), with linear regression analysis correlating FF, GBD, and ADC.

Main Results:

A significant, negative, and linear association was found between ADC and FF (R² = 0.925–0.986, p < 0.001).
The slope of the ADC-FF relationship decreased with increasing GBD, indicating a GBD-dependent effect.
ADC values overlapped across different GBDs and FFs, demonstrating a superimposed influence of both parameters.

Conclusions:

A novel dual-function phantom effectively quantifies the impact of FC and GBD on ADC.
This phantom provides insights into how fat fraction and tissue density variations affect ADC measurements in MRI.
The findings highlight the superimposed effects of FF and GBD on ADC, relevant for clinical interpretation.