Toggle Main Menu Toggle Search

Open Access padlockePrints

Audit feasibility for geometric distortion in magnetic resonance imaging for radiotherapy

Lookup NU author(s): JJ Wyatt, Dr Hazel McCallum


Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


© 2020 The AuthorsBackground and purpose: Magnetic Resonance Imaging (MRI) is increasingly being used in radiotherapy (RT). However, geometric distortions are a known challenge of using MRI in RT. The aim of this study was to demonstrate feasibility of a national audit of MRI geometric distortions. This was achieved by assessing large field of view (FOV) MRI distortions on a number of scanners used clinically for RT. Materials and methods: MRI scans of a large FOV MRI geometric distortion phantom were acquired on 11 MRI scanners that are used clinically for RT in the UK. The mean and maximum distortions and variance between scanners were reported at different distances from the isocentre. Results: For a small FOV representing a brain (100–150 mm from isocentre) all distortions were < 2 mm except for the maximum distortion of one scanner. For a large FOV representing a head and neck/pelvis (200–250 mm from isocentre) mean distortions were < 2 mm except for one scanner, maximum distortions were > 10 mm in some cases. The variance between scanners was low and was found to increase with distance from isocentre. Conclusions: This study demonstrated feasibility of the technique to be repeated in a country wide geometric distortion audit of all MRI scanners used clinically for RT. Recommendations were made for performing such an audit and how to derive acceptable limits of distortion in such an audit.

Publication metadata

Author(s): Alzahrani M, Broadbent DA, Chuter R, Al-Qaisieh B, Jackson S, Michael H, Johnstone RI, Shah S, Wetscherek A, Chick HJ, Wyatt JJ, McCallum HM, Speight R

Publication type: Article

Publication status: Published

Journal: Physics and Imaging in Radiation Oncology

Year: 2020

Volume: 15

Pages: 80-84

Print publication date: 01/07/2020

Online publication date: 11/08/2020

Acceptance date: 22/07/2020

ISSN (print): 2405-6316

Publisher: Elsevier Ireland Ltd


DOI: 10.1016/j.phro.2020.07.004


Altmetrics provided by Altmetric