Assessment of MRI image distortion based on 6 consecutive years of annual QAs and measurements on 14 MRI scanners used for radiation therapy
Purpose To determine the magnitude of MRI image distortion based on 6 consecutive years of annual quality assurances/measurements on 14 MRI scanners used for radiation therapy and to provide evidence for the inclusion of additional margin for treatment planning. Methods and materials We used commerc...
Gespeichert in:
Veröffentlicht in: | Journal of Applied Clinical Medical Physics 2023-01, Vol.24 (1), p.e13843-n/a |
---|---|
Hauptverfasser: | , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | n/a |
---|---|
container_issue | 1 |
container_start_page | e13843 |
container_title | Journal of Applied Clinical Medical Physics |
container_volume | 24 |
creator | Lu, Lanchun Yang, Xiangyu Raterman, Brian Jiang, Xia Meineke, Matthew Grecula, John Blakaj, Dukagjin Palmer, Joshua Raval, Raju Thomas, Evan Hintenlang, David Gupta, Nilendu |
description | Purpose
To determine the magnitude of MRI image distortion based on 6 consecutive years of annual quality assurances/measurements on 14 MRI scanners used for radiation therapy and to provide evidence for the inclusion of additional margin for treatment planning.
Methods and materials
We used commercial MRI image phantoms to quantitatively study the MRI image distortion over period of 6 years for up to 14 1.5 and 3 T MRI scanners that could potentially be used to provide MRI images for treatment planning. With the phantom images collected from 2016 to 2022, we investigated the MRI image distortion, the dependence of distortion on the distance from the imaging isocenter, and the possible causes of large distortion discovered.
Results
MRI image distortion increases with the distance from the imaging isocenter. For a region of interest (ROI) with a radius of 100 mm centered at the isocenter, the mean magnitude of distortion for all MRI scanners is 0.44±0.18mm$0.44 \pm 0.18\;{\rm{mm}}$, and the maximum distortion varies from 0.52to1.31mm$0.52\;{\rm{to}}\;1.31\;{\rm{mm}}$ depending on MRI scanners. For an ROI with a radius of 200 mm centered at the isocenter, the mean magnitude of distortion increases to 0.84±0.45mm$0.84 \pm 0.45\;{\rm{mm}}$, and the range of the maximum distortion increases to 1.92−5.03mm$1.92 - 5.03\;{\rm{mm}}$ depending on MRI scanners. The distortion could reach 2 mm at 150 mm from the isocenter.
Conclusion
An additional margin to accommodate image distortion should be considered for treatment planning. Imaging with proper patient alignment to the isocenter is vital to reducing image distortion. We recommend performing image distortion checks annually and after major upgrade on MRI scanners. |
doi_str_mv | 10.1002/acm2.13843 |
format | Article |
fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9859981</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A755348243</galeid><sourcerecordid>A755348243</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5153-2bc65b7cdc5b4c1bd41c7d6c5b59b6283ee62609fe15433b72554fdb2089e2ff3</originalsourceid><addsrcrecordid>eNp9kk1v1DAQhi0EomXhwg9AlrhUSLvEX0l8QYpWfFRqhUBwthx7vHWVxIudFO1_6I-usylV4YB88Nh-3ndmrEHoNSk2pCjoe216uiGs5uwJOiWClmspCX_6KD5BL1K6LgpCalY_RyesZLXgojpFt01KkFIPw4iDw5ffz7Hv9Q6w9WkMcfRhwK1OYHEOSmzCkMBMo78BfAAd0yzSwzDpDn9rUg4t7kGnKcJsmWYV4UfbZDIHWTHNbi5EHLX1-phhvIKo94eX6JnTXYJX9_sK_fz08cf2y_ri6-fzbXOxNoIItqatKUVbGWtEyw1pLSemsmU-CdmWtGYAJS0L6YAIzlhbUSG4sy0tagnUObZCHxbf_dT2YE2uNOpO7WNuPR5U0F79_TL4K7ULN0rWQsqaZIOze4MYfk2QRtX7ZKDr9ABhSopWrOKlkFWR0bf_oNdhikNuL1NlxQTncqY2C7XTHSg_uJDzmrws9D5_Ojif75tKCMZrmptaoXeLwMSQUgT3UD0p1DwVap4KdZyKDL953O8D-mcMMkAW4HdOc_iPlWq2l3QxvQPZ_cLO</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2767354490</pqid></control><display><type>article</type><title>Assessment of MRI image distortion based on 6 consecutive years of annual QAs and measurements on 14 MRI scanners used for radiation therapy</title><source>Directory of Open Access Journals (DOAJ)</source><source>Open Access: PubMed Central</source><source>MEDLINE</source><source>Wiley Online Library Open Access</source><source>Wiley Online Library All Journals</source><source>EZB Electronic Journals Library</source><creator>Lu, Lanchun ; Yang, Xiangyu ; Raterman, Brian ; Jiang, Xia ; Meineke, Matthew ; Grecula, John ; Blakaj, Dukagjin ; Palmer, Joshua ; Raval, Raju ; Thomas, Evan ; Hintenlang, David ; Gupta, Nilendu</creator><creatorcontrib>Lu, Lanchun ; Yang, Xiangyu ; Raterman, Brian ; Jiang, Xia ; Meineke, Matthew ; Grecula, John ; Blakaj, Dukagjin ; Palmer, Joshua ; Raval, Raju ; Thomas, Evan ; Hintenlang, David ; Gupta, Nilendu</creatorcontrib><description>Purpose
To determine the magnitude of MRI image distortion based on 6 consecutive years of annual quality assurances/measurements on 14 MRI scanners used for radiation therapy and to provide evidence for the inclusion of additional margin for treatment planning.
Methods and materials
We used commercial MRI image phantoms to quantitatively study the MRI image distortion over period of 6 years for up to 14 1.5 and 3 T MRI scanners that could potentially be used to provide MRI images for treatment planning. With the phantom images collected from 2016 to 2022, we investigated the MRI image distortion, the dependence of distortion on the distance from the imaging isocenter, and the possible causes of large distortion discovered.
Results
MRI image distortion increases with the distance from the imaging isocenter. For a region of interest (ROI) with a radius of 100 mm centered at the isocenter, the mean magnitude of distortion for all MRI scanners is 0.44±0.18mm$0.44 \pm 0.18\;{\rm{mm}}$, and the maximum distortion varies from 0.52to1.31mm$0.52\;{\rm{to}}\;1.31\;{\rm{mm}}$ depending on MRI scanners. For an ROI with a radius of 200 mm centered at the isocenter, the mean magnitude of distortion increases to 0.84±0.45mm$0.84 \pm 0.45\;{\rm{mm}}$, and the range of the maximum distortion increases to 1.92−5.03mm$1.92 - 5.03\;{\rm{mm}}$ depending on MRI scanners. The distortion could reach 2 mm at 150 mm from the isocenter.
Conclusion
An additional margin to accommodate image distortion should be considered for treatment planning. Imaging with proper patient alignment to the isocenter is vital to reducing image distortion. We recommend performing image distortion checks annually and after major upgrade on MRI scanners.</description><identifier>ISSN: 1526-9914</identifier><identifier>EISSN: 1526-9914</identifier><identifier>DOI: 10.1002/acm2.13843</identifier><identifier>PMID: 36385457</identifier><language>eng</language><publisher>United States: John Wiley & Sons, Inc</publisher><subject>Editorials ; Humans ; imaging isocenter ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; margin ; Medical Imaging ; Medical imaging equipment ; MRI image distortion ; MRI image phantoms ; Phantoms, Imaging ; Planning ; Protocol ; Radiation ; Radiation therapy ; Radiosurgery ; Radiotherapy ; Radiotherapy Planning, Computer-Assisted - methods ; Radiotherapy, Image-Guided - methods ; region of interest ; Scanners ; Tumors</subject><ispartof>Journal of Applied Clinical Medical Physics, 2023-01, Vol.24 (1), p.e13843-n/a</ispartof><rights>2022 The Authors. published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine.</rights><rights>2022 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine.</rights><rights>COPYRIGHT 2023 John Wiley & Sons, Inc.</rights><rights>2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5153-2bc65b7cdc5b4c1bd41c7d6c5b59b6283ee62609fe15433b72554fdb2089e2ff3</citedby><cites>FETCH-LOGICAL-c5153-2bc65b7cdc5b4c1bd41c7d6c5b59b6283ee62609fe15433b72554fdb2089e2ff3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859981/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859981/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,1418,11567,27929,27930,45579,45580,46057,46481,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36385457$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lu, Lanchun</creatorcontrib><creatorcontrib>Yang, Xiangyu</creatorcontrib><creatorcontrib>Raterman, Brian</creatorcontrib><creatorcontrib>Jiang, Xia</creatorcontrib><creatorcontrib>Meineke, Matthew</creatorcontrib><creatorcontrib>Grecula, John</creatorcontrib><creatorcontrib>Blakaj, Dukagjin</creatorcontrib><creatorcontrib>Palmer, Joshua</creatorcontrib><creatorcontrib>Raval, Raju</creatorcontrib><creatorcontrib>Thomas, Evan</creatorcontrib><creatorcontrib>Hintenlang, David</creatorcontrib><creatorcontrib>Gupta, Nilendu</creatorcontrib><title>Assessment of MRI image distortion based on 6 consecutive years of annual QAs and measurements on 14 MRI scanners used for radiation therapy</title><title>Journal of Applied Clinical Medical Physics</title><addtitle>J Appl Clin Med Phys</addtitle><description>Purpose
To determine the magnitude of MRI image distortion based on 6 consecutive years of annual quality assurances/measurements on 14 MRI scanners used for radiation therapy and to provide evidence for the inclusion of additional margin for treatment planning.
Methods and materials
We used commercial MRI image phantoms to quantitatively study the MRI image distortion over period of 6 years for up to 14 1.5 and 3 T MRI scanners that could potentially be used to provide MRI images for treatment planning. With the phantom images collected from 2016 to 2022, we investigated the MRI image distortion, the dependence of distortion on the distance from the imaging isocenter, and the possible causes of large distortion discovered.
Results
MRI image distortion increases with the distance from the imaging isocenter. For a region of interest (ROI) with a radius of 100 mm centered at the isocenter, the mean magnitude of distortion for all MRI scanners is 0.44±0.18mm$0.44 \pm 0.18\;{\rm{mm}}$, and the maximum distortion varies from 0.52to1.31mm$0.52\;{\rm{to}}\;1.31\;{\rm{mm}}$ depending on MRI scanners. For an ROI with a radius of 200 mm centered at the isocenter, the mean magnitude of distortion increases to 0.84±0.45mm$0.84 \pm 0.45\;{\rm{mm}}$, and the range of the maximum distortion increases to 1.92−5.03mm$1.92 - 5.03\;{\rm{mm}}$ depending on MRI scanners. The distortion could reach 2 mm at 150 mm from the isocenter.
Conclusion
An additional margin to accommodate image distortion should be considered for treatment planning. Imaging with proper patient alignment to the isocenter is vital to reducing image distortion. We recommend performing image distortion checks annually and after major upgrade on MRI scanners.</description><subject>Editorials</subject><subject>Humans</subject><subject>imaging isocenter</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>margin</subject><subject>Medical Imaging</subject><subject>Medical imaging equipment</subject><subject>MRI image distortion</subject><subject>MRI image phantoms</subject><subject>Phantoms, Imaging</subject><subject>Planning</subject><subject>Protocol</subject><subject>Radiation</subject><subject>Radiation therapy</subject><subject>Radiosurgery</subject><subject>Radiotherapy</subject><subject>Radiotherapy Planning, Computer-Assisted - methods</subject><subject>Radiotherapy, Image-Guided - methods</subject><subject>region of interest</subject><subject>Scanners</subject><subject>Tumors</subject><issn>1526-9914</issn><issn>1526-9914</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kk1v1DAQhi0EomXhwg9AlrhUSLvEX0l8QYpWfFRqhUBwthx7vHWVxIudFO1_6I-usylV4YB88Nh-3ndmrEHoNSk2pCjoe216uiGs5uwJOiWClmspCX_6KD5BL1K6LgpCalY_RyesZLXgojpFt01KkFIPw4iDw5ffz7Hv9Q6w9WkMcfRhwK1OYHEOSmzCkMBMo78BfAAd0yzSwzDpDn9rUg4t7kGnKcJsmWYV4UfbZDIHWTHNbi5EHLX1-phhvIKo94eX6JnTXYJX9_sK_fz08cf2y_ri6-fzbXOxNoIItqatKUVbGWtEyw1pLSemsmU-CdmWtGYAJS0L6YAIzlhbUSG4sy0tagnUObZCHxbf_dT2YE2uNOpO7WNuPR5U0F79_TL4K7ULN0rWQsqaZIOze4MYfk2QRtX7ZKDr9ABhSopWrOKlkFWR0bf_oNdhikNuL1NlxQTncqY2C7XTHSg_uJDzmrws9D5_Ojif75tKCMZrmptaoXeLwMSQUgT3UD0p1DwVap4KdZyKDL953O8D-mcMMkAW4HdOc_iPlWq2l3QxvQPZ_cLO</recordid><startdate>202301</startdate><enddate>202301</enddate><creator>Lu, Lanchun</creator><creator>Yang, Xiangyu</creator><creator>Raterman, Brian</creator><creator>Jiang, Xia</creator><creator>Meineke, Matthew</creator><creator>Grecula, John</creator><creator>Blakaj, Dukagjin</creator><creator>Palmer, Joshua</creator><creator>Raval, Raju</creator><creator>Thomas, Evan</creator><creator>Hintenlang, David</creator><creator>Gupta, Nilendu</creator><general>John Wiley & Sons, Inc</general><general>John Wiley and Sons Inc</general><scope>24P</scope><scope>WIN</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IAO</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88I</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>M0S</scope><scope>M2P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>202301</creationdate><title>Assessment of MRI image distortion based on 6 consecutive years of annual QAs and measurements on 14 MRI scanners used for radiation therapy</title><author>Lu, Lanchun ; Yang, Xiangyu ; Raterman, Brian ; Jiang, Xia ; Meineke, Matthew ; Grecula, John ; Blakaj, Dukagjin ; Palmer, Joshua ; Raval, Raju ; Thomas, Evan ; Hintenlang, David ; Gupta, Nilendu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5153-2bc65b7cdc5b4c1bd41c7d6c5b59b6283ee62609fe15433b72554fdb2089e2ff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Editorials</topic><topic>Humans</topic><topic>imaging isocenter</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>margin</topic><topic>Medical Imaging</topic><topic>Medical imaging equipment</topic><topic>MRI image distortion</topic><topic>MRI image phantoms</topic><topic>Phantoms, Imaging</topic><topic>Planning</topic><topic>Protocol</topic><topic>Radiation</topic><topic>Radiation therapy</topic><topic>Radiosurgery</topic><topic>Radiotherapy</topic><topic>Radiotherapy Planning, Computer-Assisted - methods</topic><topic>Radiotherapy, Image-Guided - methods</topic><topic>region of interest</topic><topic>Scanners</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lu, Lanchun</creatorcontrib><creatorcontrib>Yang, Xiangyu</creatorcontrib><creatorcontrib>Raterman, Brian</creatorcontrib><creatorcontrib>Jiang, Xia</creatorcontrib><creatorcontrib>Meineke, Matthew</creatorcontrib><creatorcontrib>Grecula, John</creatorcontrib><creatorcontrib>Blakaj, Dukagjin</creatorcontrib><creatorcontrib>Palmer, Joshua</creatorcontrib><creatorcontrib>Raval, Raju</creatorcontrib><creatorcontrib>Thomas, Evan</creatorcontrib><creatorcontrib>Hintenlang, David</creatorcontrib><creatorcontrib>Gupta, Nilendu</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley Online Library Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Academic OneFile</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>ProQuest Science Journals</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of Applied Clinical Medical Physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lu, Lanchun</au><au>Yang, Xiangyu</au><au>Raterman, Brian</au><au>Jiang, Xia</au><au>Meineke, Matthew</au><au>Grecula, John</au><au>Blakaj, Dukagjin</au><au>Palmer, Joshua</au><au>Raval, Raju</au><au>Thomas, Evan</au><au>Hintenlang, David</au><au>Gupta, Nilendu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of MRI image distortion based on 6 consecutive years of annual QAs and measurements on 14 MRI scanners used for radiation therapy</atitle><jtitle>Journal of Applied Clinical Medical Physics</jtitle><addtitle>J Appl Clin Med Phys</addtitle><date>2023-01</date><risdate>2023</risdate><volume>24</volume><issue>1</issue><spage>e13843</spage><epage>n/a</epage><pages>e13843-n/a</pages><issn>1526-9914</issn><eissn>1526-9914</eissn><abstract>Purpose
To determine the magnitude of MRI image distortion based on 6 consecutive years of annual quality assurances/measurements on 14 MRI scanners used for radiation therapy and to provide evidence for the inclusion of additional margin for treatment planning.
Methods and materials
We used commercial MRI image phantoms to quantitatively study the MRI image distortion over period of 6 years for up to 14 1.5 and 3 T MRI scanners that could potentially be used to provide MRI images for treatment planning. With the phantom images collected from 2016 to 2022, we investigated the MRI image distortion, the dependence of distortion on the distance from the imaging isocenter, and the possible causes of large distortion discovered.
Results
MRI image distortion increases with the distance from the imaging isocenter. For a region of interest (ROI) with a radius of 100 mm centered at the isocenter, the mean magnitude of distortion for all MRI scanners is 0.44±0.18mm$0.44 \pm 0.18\;{\rm{mm}}$, and the maximum distortion varies from 0.52to1.31mm$0.52\;{\rm{to}}\;1.31\;{\rm{mm}}$ depending on MRI scanners. For an ROI with a radius of 200 mm centered at the isocenter, the mean magnitude of distortion increases to 0.84±0.45mm$0.84 \pm 0.45\;{\rm{mm}}$, and the range of the maximum distortion increases to 1.92−5.03mm$1.92 - 5.03\;{\rm{mm}}$ depending on MRI scanners. The distortion could reach 2 mm at 150 mm from the isocenter.
Conclusion
An additional margin to accommodate image distortion should be considered for treatment planning. Imaging with proper patient alignment to the isocenter is vital to reducing image distortion. We recommend performing image distortion checks annually and after major upgrade on MRI scanners.</abstract><cop>United States</cop><pub>John Wiley & Sons, Inc</pub><pmid>36385457</pmid><doi>10.1002/acm2.13843</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1526-9914 |
ispartof | Journal of Applied Clinical Medical Physics, 2023-01, Vol.24 (1), p.e13843-n/a |
issn | 1526-9914 1526-9914 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9859981 |
source | Directory of Open Access Journals (DOAJ); Open Access: PubMed Central; MEDLINE; Wiley Online Library Open Access; Wiley Online Library All Journals; EZB Electronic Journals Library |
subjects | Editorials Humans imaging isocenter Magnetic resonance imaging Magnetic Resonance Imaging - methods margin Medical Imaging Medical imaging equipment MRI image distortion MRI image phantoms Phantoms, Imaging Planning Protocol Radiation Radiation therapy Radiosurgery Radiotherapy Radiotherapy Planning, Computer-Assisted - methods Radiotherapy, Image-Guided - methods region of interest Scanners Tumors |
title | Assessment of MRI image distortion based on 6 consecutive years of annual QAs and measurements on 14 MRI scanners used for radiation therapy |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-13T22%3A48%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessment%20of%20MRI%20image%20distortion%20based%20on%206%20consecutive%20years%20of%20annual%20QAs%20and%20measurements%20on%2014%20MRI%20scanners%20used%20for%20radiation%20therapy&rft.jtitle=Journal%20of%20Applied%20Clinical%20Medical%20Physics&rft.au=Lu,%20Lanchun&rft.date=2023-01&rft.volume=24&rft.issue=1&rft.spage=e13843&rft.epage=n/a&rft.pages=e13843-n/a&rft.issn=1526-9914&rft.eissn=1526-9914&rft_id=info:doi/10.1002/acm2.13843&rft_dat=%3Cgale_pubme%3EA755348243%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2767354490&rft_id=info:pmid/36385457&rft_galeid=A755348243&rfr_iscdi=true |