Characterization of an MR‐compatible motion platform for quality assurance of motion‐compensated treatments on the 1.5 T MR‐linac.
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| Title: | Characterization of an MR‐compatible motion platform for quality assurance of motion‐compensated treatments on the 1.5 T MR‐linac. |
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| Authors: | Oolbekkink, Stijn1 (AUTHOR) s.oolbekkink@umcutrecht.nl, Borman, Pim T. S.1 (AUTHOR), Wolthaus, Jochem W. H.1 (AUTHOR), van Asselen, Bram1 (AUTHOR), van Lier, Astrid L. H. M. W.1 (AUTHOR), Dunn, Stephanie2 (AUTHOR), Koenig, Grant R.2 (AUTHOR), Hartman, Nick2 (AUTHOR), Kheirkhah, Niusha2 (AUTHOR), Raaymakers, Bas W.1 (AUTHOR), Fast, Martin F.1 (AUTHOR) |
| Source: | Medical Physics. May2025, Vol. 52 Issue 5, p3391-3397. 7p. |
| Subjects: | Quality assurance, Magnetic resonance imaging, Medical dosimetry |
| Abstract: | Background: Novel motion‐compensated treatment techniques on the MR‐linac can address adverse intra‐fraction motion effects. These techniques involve beam gating or intra‐fraction adaptations of the treatment plan based on real‐time magnetic resonance imaging (MRI) performed during treatment. For quality assurance (QA) of these workflows, a multi‐purpose motion platform is desirable. This platform should accommodate various phantoms, enabling multiple QA workflows. Purpose: This study aims to evaluate the new IBA QUASAR Motion MR Platform for use in the 1.5 T MR‐linac. Methods: The motion platform was assessed for several magnetic resonance (MR) characteristics, including spurious noise generation and B0&B1 homogeneity. In addition, the motion platform's motion accuracy and beam attenuation were assessed. An application was shown with a ScandiDos Delta4 Phantom+ MR demonstrating patient‐specific plan QA of gated treatments using time‐resolved dosimetry that includes motion based on a patient's respiratory motion trace. Results: All MR characterization measurements were within the set tolerances for MRI QA. The motion platform motion accuracy showed excellent agreement with the reference, with a standard deviation of the amplitude of 0.01 mm (20 kg load) for the motor's self‐estimated positions and 0.22 mm (no load) for the images acquired with the electronic portal imager. Beam attenuation was found to be 11.8%. The combination of the motion platform and Delta4 demonstrated motion‐included dosimetry at high temporal and spatial resolutions. Motion influenced the measured dose in non‐gated treatments by up to −20.1%, while gated deliveries showed differences of up to −1.7% for selected diodes. Conclusion: The motion platform was found to be usable in a 1.5 T magnetic field, and for all MR characterization experiments, no influence from the motion platform was observed. This motion platform enables to perform motion‐included QA, with a measurement device of choice. [ABSTRACT FROM AUTHOR] |
| Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: egs DbLabel: Engineering Source An: 185030412 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Characterization of an MR‐compatible motion platform for quality assurance of motion‐compensated treatments on the 1.5 T MR‐linac. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Oolbekkink%2C+Stijn%22">Oolbekkink, Stijn</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> s.oolbekkink@umcutrecht.nl</i><br /><searchLink fieldCode="AR" term="%22Borman%2C+Pim+T%2E+S%2E%22">Borman, Pim T. S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wolthaus%2C+Jochem+W%2E+H%2E%22">Wolthaus, Jochem W. H.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van+Asselen%2C+Bram%22">van Asselen, Bram</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van+Lier%2C+Astrid+L%2E+H%2E+M%2E+W%2E%22">van Lier, Astrid L. H. M. W.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dunn%2C+Stephanie%22">Dunn, Stephanie</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Koenig%2C+Grant+R%2E%22">Koenig, Grant R.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hartman%2C+Nick%22">Hartman, Nick</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kheirkhah%2C+Niusha%22">Kheirkhah, Niusha</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Raaymakers%2C+Bas+W%2E%22">Raaymakers, Bas W.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fast%2C+Martin+F%2E%22">Fast, Martin F.</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Medical+Physics%22">Medical Physics</searchLink>. May2025, Vol. 52 Issue 5, p3391-3397. 7p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Quality+assurance%22">Quality assurance</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+dosimetry%22">Medical dosimetry</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background: Novel motion‐compensated treatment techniques on the MR‐linac can address adverse intra‐fraction motion effects. These techniques involve beam gating or intra‐fraction adaptations of the treatment plan based on real‐time magnetic resonance imaging (MRI) performed during treatment. For quality assurance (QA) of these workflows, a multi‐purpose motion platform is desirable. This platform should accommodate various phantoms, enabling multiple QA workflows. Purpose: This study aims to evaluate the new IBA QUASAR Motion MR Platform for use in the 1.5 T MR‐linac. Methods: The motion platform was assessed for several magnetic resonance (MR) characteristics, including spurious noise generation and B0&B1 homogeneity. In addition, the motion platform's motion accuracy and beam attenuation were assessed. An application was shown with a ScandiDos Delta4 Phantom+ MR demonstrating patient‐specific plan QA of gated treatments using time‐resolved dosimetry that includes motion based on a patient's respiratory motion trace. Results: All MR characterization measurements were within the set tolerances for MRI QA. The motion platform motion accuracy showed excellent agreement with the reference, with a standard deviation of the amplitude of 0.01 mm (20 kg load) for the motor's self‐estimated positions and 0.22 mm (no load) for the images acquired with the electronic portal imager. Beam attenuation was found to be 11.8%. The combination of the motion platform and Delta4 demonstrated motion‐included dosimetry at high temporal and spatial resolutions. Motion influenced the measured dose in non‐gated treatments by up to −20.1%, while gated deliveries showed differences of up to −1.7% for selected diodes. Conclusion: The motion platform was found to be usable in a 1.5 T magnetic field, and for all MR characterization experiments, no influence from the motion platform was observed. This motion platform enables to perform motion‐included QA, with a measurement device of choice. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/mp.17632 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 3391 Subjects: – SubjectFull: Quality assurance Type: general – SubjectFull: Magnetic resonance imaging Type: general – SubjectFull: Medical dosimetry Type: general Titles: – TitleFull: Characterization of an MR‐compatible motion platform for quality assurance of motion‐compensated treatments on the 1.5 T MR‐linac. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Oolbekkink, Stijn – PersonEntity: Name: NameFull: Borman, Pim T. S. – PersonEntity: Name: NameFull: Wolthaus, Jochem W. H. – PersonEntity: Name: NameFull: van Asselen, Bram – PersonEntity: Name: NameFull: van Lier, Astrid L. H. M. W. – PersonEntity: Name: NameFull: Dunn, Stephanie – PersonEntity: Name: NameFull: Koenig, Grant R. – PersonEntity: Name: NameFull: Hartman, Nick – PersonEntity: Name: NameFull: Kheirkhah, Niusha – PersonEntity: Name: NameFull: Raaymakers, Bas W. – PersonEntity: Name: NameFull: Fast, Martin F. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00942405 Numbering: – Type: volume Value: 52 – Type: issue Value: 5 Titles: – TitleFull: Medical Physics Type: main |
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