A scan-specific quality control acquisition for clinical whole-body (WB) MRI protocols.

Quality Assurance Quality control RF coils Whole-body MRI

Journal

Physics in medicine and biology
ISSN: 1361-6560
Titre abrégé: Phys Med Biol
Pays: England
ID NLM: 0401220

Informations de publication

Date de publication:
22 Apr 2024
Historique:
medline: 23 4 2024
pubmed: 23 4 2024
entrez: 22 4 2024
Statut: aheadofprint

Résumé

Image quality in whole-body MRI (WB-MRI) may be degraded by faulty radiofrequency (RF) coil elements or mispositioning of the coil arrays. Phantom-based quality control (QC) is used to identify broken RF coil elements but the frequency of these acquisitions is limited by scanner and staff availability. This work aimed to develop a scan-specific QC acquisition and processing pipeline to detect broken RF coil elements, which is sufficiently rapid to be added to the clinical WB-MRI protocol. The purpose of this is to improve the quality of WB-MRI by reducing the number of patient examinations conducted with suboptimal equipment.
Approach: A rapid acquisition (14 seconds additional acquisition time per imaging station) was developed that identifies broken RF coil elements by acquiring images from each individual coil element and using the integral body coil. This acquisition was added to one centre's clinical WB-MRI protocol for one year (892 examinations) to evaluate the effect of this scan-specific QC. To demonstrate applicability in multi-centre imaging trials, the technique was also implemented on scanners from three manufacturers. 
Main Results: Over the course of the study RF coil elements were flagged as potentially broken on five occasions, with the faults confirmed in four of those cases. The method had a precision of 80 % and a recall of 100 % for detecting faulty RF coil elements. The coil array positioning measurements were consistent across scanners and have been used to define the expected variation in signal. 
Significance: The technique demonstrated here can identify faulty RF coil elements and positioning errors and is a practical addition to the clinical WB-MRI protocol. This approach was fully implemented on systems from three manufacturers and partially implemented on a third. It has potential to reduce the number of clinical examinations conducted with suboptimal hardware and improve image quality across multi-centre studies.

Identifiants

pubmed: 38648786
doi: 10.1088/1361-6560/ad4195
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Creative Commons Attribution license.

Auteurs

Sam Keaveney (S)

MRI Unit, Royal Marsden Hospital NHS Trust, Royal Marsden Hospital, Sutton, SM2 5PT, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.

Georgina Hopkinson (G)

MRI Unit, Royal Marsden Hospital NHS Trust, Royal Marsden Hospital, Downs Road, Sutton, London, SM2 5PT, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.

Julia E Markus (JE)

Centre for Medical Imaging, University College London, Charles Bell House, 43-45 Foley Street, London, W1W 7TY, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.

Andrew N Priest (AN)

Department of Imaging, Cambridge University Hospitals NHS Foundation Trust, Addenbrookes Hospital, Cambridge, CB2 0QQ, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.

Erica Scurr (E)

MRI Physics, Royal Marsden Hospital NHS Trust, Royal Marsden Hospital, Downs Road, Sutton, SM2 5PT, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.

Julie Hughes (J)

MRI Unit, Royal Marsden Hospital NHS Trust, Royal Marsden Hospital, Sutton, SM2 5PT, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.

Scott Robertson (S)

MRI Unit, Royal Marsden Hospital NHS Trust, Royal Marsden Hospital, Sutton, SM2 5PT, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.

Simon J Doran (SJ)

Institute of Cancer Research Division of Radiotherapy and Imaging, Institute of Cancer Research, London, London, SW7 3RP, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.

David J Collins (DJ)

Institute of Cancer Research Division of Radiotherapy and Imaging, Institute of Cancer Research, London, London, SW7 3RP, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.

Christina Messiou (C)

MRI Unit, Royal Marsden Hospital NHS Trust, Royal Marsden Hospital, Sutton, London, SM2 5PT, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.

Dow-Mu Koh (DM)

MRI Unit, Royal Marsden Hospital NHS Trust, Royal Marsden Hospital, Sutton, SM2 5PT, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.

Jessica M Winfield (JM)

MRI Unit, Royal Marsden Hospital NHS Trust, Royal Marsden Hospital, Sutton, SM2 5PT, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.

Classifications MeSH