Efficient prediction of MRI gradient‐induced heating for guiding safety testing of conductive implants.
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| Title: | Efficient prediction of MRI gradient‐induced heating for guiding safety testing of conductive implants. |
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| Authors: | Zanovello, Umberto1 (AUTHOR) u.zanovello@inrim.it, Fuss, Carina2 (AUTHOR), Arduino, Alessandro1 (AUTHOR), Bottauscio, Oriano1 (AUTHOR) |
| Source: | Magnetic Resonance in Medicine. Nov2023, Vol. 90 Issue 5, p2011-2018. 8p. |
| Subjects: | Artificial implants, Orthopedic implants, Heating, Magnetic resonance imaging, Medical equipment, Magnetic fields |
| Abstract: | Purpose: To propose an efficient numerical method to predict the temperature increase of an implantable medical device induced by any linearly polarized homogeneous magnetic field, according to the ISO 10974 methodology for testing of gradient‐induced device heating. Theory and Methods: The concepts of device‐specific power and temperature tensors are introduced to mathematically describe the electromagnetic and thermal anisotropic behavior of the device, from which the device heating for an arbitrary exposure direction can be predicted. The proposed method is compared to a brute‐force approach based on simulations, and validated by applying it to four reference orthopedic implants with a commercial simulation software. Results: The proposed method requires about 5%$$ \% $$ of the time required by the brute‐force approach, and 30%$$ \% $$ of the memory occupancy. The temperature increase predicted by the proposed method over a range of incident magnetic field exposures deviated from brute‐force direct simulations by less than ±$$ \pm $$0.3%$$ \% $$. Conclusion: The proposed method allows efficient prediction of the heating of an implantable medical device induced by any linearly polarized homogeneous magnetic field using a small fraction of the simulations required by the brute‐force approach. The results can be used to predict the worst‐case orientation of the gradient field, for subsequent experimental characterization according to the ISO 10974 standard. [ABSTRACT FROM AUTHOR] |
| Copyright of Magnetic Resonance in Medicine 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.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 171106076 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Efficient prediction of MRI gradient‐induced heating for guiding safety testing of conductive implants. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zanovello%2C+Umberto%22">Zanovello, Umberto</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> u.zanovello@inrim.it</i><br /><searchLink fieldCode="AR" term="%22Fuss%2C+Carina%22">Fuss, Carina</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Arduino%2C+Alessandro%22">Arduino, Alessandro</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bottauscio%2C+Oriano%22">Bottauscio, Oriano</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Magnetic+Resonance+in+Medicine%22">Magnetic Resonance in Medicine</searchLink>. Nov2023, Vol. 90 Issue 5, p2011-2018. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+implants%22">Artificial implants</searchLink><br /><searchLink fieldCode="DE" term="%22Orthopedic+implants%22">Orthopedic implants</searchLink><br /><searchLink fieldCode="DE" term="%22Heating%22">Heating</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+equipment%22">Medical equipment</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+fields%22">Magnetic fields</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: To propose an efficient numerical method to predict the temperature increase of an implantable medical device induced by any linearly polarized homogeneous magnetic field, according to the ISO 10974 methodology for testing of gradient‐induced device heating. Theory and Methods: The concepts of device‐specific power and temperature tensors are introduced to mathematically describe the electromagnetic and thermal anisotropic behavior of the device, from which the device heating for an arbitrary exposure direction can be predicted. The proposed method is compared to a brute‐force approach based on simulations, and validated by applying it to four reference orthopedic implants with a commercial simulation software. Results: The proposed method requires about 5%$$ \% $$ of the time required by the brute‐force approach, and 30%$$ \% $$ of the memory occupancy. The temperature increase predicted by the proposed method over a range of incident magnetic field exposures deviated from brute‐force direct simulations by less than ±$$ \pm $$0.3%$$ \% $$. Conclusion: The proposed method allows efficient prediction of the heating of an implantable medical device induced by any linearly polarized homogeneous magnetic field using a small fraction of the simulations required by the brute‐force approach. The results can be used to predict the worst‐case orientation of the gradient field, for subsequent experimental characterization according to the ISO 10974 standard. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Magnetic Resonance in Medicine 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/mrm.29787 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 2011 Subjects: – SubjectFull: Artificial implants Type: general – SubjectFull: Orthopedic implants Type: general – SubjectFull: Heating Type: general – SubjectFull: Magnetic resonance imaging Type: general – SubjectFull: Medical equipment Type: general – SubjectFull: Magnetic fields Type: general Titles: – TitleFull: Efficient prediction of MRI gradient‐induced heating for guiding safety testing of conductive implants. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zanovello, Umberto – PersonEntity: Name: NameFull: Fuss, Carina – PersonEntity: Name: NameFull: Arduino, Alessandro – PersonEntity: Name: NameFull: Bottauscio, Oriano IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 07403194 Numbering: – Type: volume Value: 90 – Type: issue Value: 5 Titles: – TitleFull: Magnetic Resonance in Medicine Type: main |
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