{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T00:35:21Z","timestamp":1791592521685,"version":"4.3.4"},"reference-count":28,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2022,7,26]],"date-time":"2022-07-26T00:00:00Z","timestamp":1658793600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Applied Clin Med Phys"],"published-print":{"date-parts":[[2022,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>With the utilization of magnetic resonance (MR) imaging in radiotherapy increasing, routine quality assurance (QA) of these systems is necessary. The assessment of geometric distortion in images used for radiotherapy treatment planning needs to be quantified and monitored over time. This work presents an adaptable methodology for performing routine QA for systematic MRI geometric distortion. A software tool and compatible protocol (designed to work with any CT and MR compatible phantom on any scanner) were developed to quantify geometric distortion via deformable image registration. The MR image is deformed to the CT, generating a deformation field, which is sampled, quantifying geometric distortion as a function of distance from scanner isocenter. Configurability of the QA tool was tested, and results compared to those provided from commercial solutions. Registration accuracy was investigated by repeating the deformable registration step on the initial deformed MR image to define regions with residual distortions. The geometric distortion of four clinical systems was quantified using the customisable QA method presented. Maximum measured distortions varied from 2.2 to 19.4\u00a0mm (image parameter and sampling volume dependent). The workflow was successfully customized for different phantom configurations and volunteer imaging studies. Comparison to a vendor supplied solution showed good agreement in regions where the two procedures were sampling the same imaging volume. On a large field of view phantom across various scanners, the QA tool accurately quantified geometric distortions within 17\u201322\u00a0cm from scanner isocenter. Beyond these regions, the geometric integrity of images in clinical applications should be considered with a higher degree of uncertainty due to increased gradient nonlinearity and B<jats:sub>0<\/jats:sub> inhomogeneity. This tool has been successfully integrated into routine QA of the MRI scanner utilized for radiotherapy within our department. It enables any low susceptibility MR\u2010CT compatible phantom to quantify the geometric distortion on any MRI scanner with a configurable, user friendly interface for ease of use and consistency in data collection and analysis.<\/jats:p>","DOI":"10.1002\/acm2.13735","type":"journal-article","created":{"date-parts":[[2022,7,26]],"date-time":"2022-07-26T10:30:02Z","timestamp":1658831402000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Development of a vendor neutral MRI distortion quality assurance workflow"],"prefix":"10.1002","volume":"23","author":[{"given":"Amy","family":"Walker","sequence":"first","affiliation":[{"name":"Liverpool and Macarthur Cancer Therapy Centres  Sydney Australia"},{"name":"Ingham Institute of Applied Medical Research  Sydney Australia"},{"name":"Centre for Medical Radiation Physics University of Wollongong  Wollongong Australia"},{"name":"South Western Clinical School University of New South Wales  Sydney Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Phillip","family":"Chlap","sequence":"additional","affiliation":[{"name":"Liverpool and Macarthur Cancer Therapy Centres  Sydney Australia"},{"name":"Ingham Institute of Applied Medical Research  Sydney Australia"},{"name":"South Western Clinical School University of New South Wales  Sydney Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Trent","family":"Causer","sequence":"additional","affiliation":[{"name":"Centre for Medical Radiation Physics University of Wollongong  Wollongong Australia"},{"name":"Illawarra Cancer Care Centre  Wollongong Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Faisal","family":"Mahmood","sequence":"additional","affiliation":[{"name":"Laboratory of Radiation Physics, Department of Oncology Odense University Hospital  Odense Denmark"},{"name":"Department of Clinical Research University of Southern Denmark  Odense Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jarryd","family":"Buckley","sequence":"additional","affiliation":[{"name":"Liverpool and Macarthur Cancer Therapy Centres  Sydney Australia"},{"name":"Ingham Institute of Applied Medical Research  Sydney Australia"},{"name":"Centre for Medical Radiation Physics University of Wollongong  Wollongong Australia"},{"name":"Illawarra Cancer Care Centre  Wollongong Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lois","family":"Holloway","sequence":"additional","affiliation":[{"name":"Liverpool and Macarthur Cancer Therapy Centres  Sydney Australia"},{"name":"Ingham Institute of Applied Medical Research  Sydney Australia"},{"name":"Centre for Medical Radiation Physics University of Wollongong  Wollongong Australia"},{"name":"South Western Clinical School University of New South Wales  Sydney Australia"},{"name":"Institute of Medical Physics University of Sydney  Sydney 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