Skip to main navigation Skip to search Skip to main content

Protocol optimization for quantitative MRI studies in radiation oncology: II. diffusion MRI

  • Yves De Deene
  • , Morgan Wheatley
  • , Robba Rai
  • , David Walton
  • , Doaa Elwadia
  • , Trang Pham
  • , Thorsten Feiweier
  • , William S Price
  • Liverpool Hospital
  • Ingham Institute of Applied Medical Research
  • Ghent University
  • Western Sydney University
  • Siemens

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)
1 Downloads (Pure)

Abstract

One of the most used bio-functional MRI techniques deployed in radiation therapy is diffusion-weighted MRI (DWI) for both the delineation of the gross target volume and for treatment response assessment. While the diffusion mechanism is in principle inherently independent of the magnetic field strength and scanner type, there exist significant discrepancies in quantitative apparent diffusion coefficient (ADC) maps between published studies, which can be largely attributed to the use of sub-optimal scanning and oversimplified diffusion models, including inline vendor-implemented ADC map reconstructions. Robust quality assurance (QA) and the use of adequate fitting models are essential to guarantee the accuracy of quantitative DWI. Different QA methods are proposed and common pitfalls in clinical DWI studies are discussed. While standard commercial QA phantoms provide a first and necessary step in QA of clinical trials, it is shown that some methodological errors may remain undetected. Significant deviations from the mono-exponential diffusion model, a dependence on the diffusion time and directional dependence are illustrated in different human tissues. Different diffusion models are discussed. It is also illustrated how organ motion can severely compromise the accuracy of quantitative parametric diffusion maps and is not always recognized as obvious imaging artifacts.

Original languageEnglish
Article number125018
Number of pages33
JournalPhysics in Medicine and Biology
Volume71
Issue number12
DOIs
Publication statusPublished - 28 Jun 2026

Keywords

  • anthropomorphic imaging phantoms
  • biofunctional imaging
  • diffusion-weighted imaging (DWI)
  • imaging biomarkers
  • quality assurance
  • quantitative MRI

Fingerprint

Dive into the research topics of 'Protocol optimization for quantitative MRI studies in radiation oncology: II. diffusion MRI'. Together they form a unique fingerprint.

Cite this