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Updated: Jan 10, 2026

Diffusion Imaging in the Rat Cervical Spinal Cord

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

Quantitative evaluation of apparent diffusion coefficient in a large multi-unit institution.

Joshua P Yung¹, Yao Ding², Ken-Pin Hwang¹

¹Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Physics and Imaging in Radiation Oncology

|November 24, 2025

Summary

This summary is machine-generated.

Quantitative accuracy of diffusion weighted imaging (DWI) and apparent diffusion coefficient (ADC) values was assessed across multiple MRI scanners. Results show performance variations related to signal-to-noise ratio (SNR), motivating quality assurance programs.

Keywords:

Diffusion weighted imaging Magnetic resonance imaging Quality control Quantitative

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Area of Science:

Medical Imaging
Quantitative MRI
Diffusion Weighted Imaging

Background:

Diffusion weighted imaging (DWI) and apparent diffusion coefficient (ADC) values are crucial in MRI for diagnostics and therapy monitoring.
Characterizing quantitative performance across diverse MRI systems is essential due to widespread applications.

Purpose of the Study:

To evaluate the quantitative accuracy of DWI and ADC values across a fleet of MRI scanners.
To assess performance using a NIST-traceable diffusion phantom for multi-vendor MRI systems.

Main Methods:

Three NIST/QIBA DWI phantoms were imaged on 23 clinical MRI scanners using standardized protocols.
Apparent diffusion coefficient (ADC) values were measured, and coefficient-of-variation (CoV) and Bland-Altman analysis were performed.
Agreement between phantoms was analyzed to assess their utility in multi-institutional quality assurance.

Main Results:

Lower ADC values and sagittal orientation showed the largest error range and CoV, correlating with SNR.
Analysis of variance (ANOVA) indicated no significant difference in percent errors among phantoms.
Bland-Altman analysis revealed no strong differences between 1.5T and 3T scanners, though vendor confidence intervals varied.

Conclusions:

A comprehensive analysis of institution-wide MRI scanners was performed.
Results support the implementation of a quality assurance program and advanced scheduling system.
Matching MRI scanners with similar performance characteristics is recommended.