Feasibility study of subject‐specific, brain specific‐absorption‐rate maps retrieved from MRI data

Introduction Specific absorption rate (SAR) is crucial for monitoring radiofrequency power absorption during MRI. Although local SAR distribution is usually calculated through numerical simulations, they are impractical during exams, limiting real‐time patient‐specific SAR assessment. This study con...

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Veröffentlicht in:	Magnetic resonance in medicine Jg. 94; H. 3; S. 1136 - 1151
Hauptverfasser:	Martinez, Jessica A., Zanovello, Umberto, Arduino, Alessandro, Hu, Houchun Harry, Moulin, Kevin, Ogier, Stephen E., Bottauscio, Oriano, Zilberti, Luca, Keenan, Kathryn E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Wiley Subscription Services, Inc 01.09.2025 John Wiley and Sons Inc
Schlagworte:	Absorption Adult Algorithms Brain Brain - diagnostic imaging Brain mapping Brain Mapping - methods Brain slice preparation Computer Simulation Data acquisition Electrical conductivity Electrical resistivity EPT Feasibility Studies Healthy Volunteers Humans Image processing Image Processing, Computer-Assisted - methods Image reconstruction Imaging Methodology In vivo methods and tests Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical imaging Neuroimaging Phantoms, Imaging Precession Radio frequency Radio Waves RF heating SAR Simulation EPT SAR RF heating
ISSN:	0740-3194, 1522-2594
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Abstract	Introduction Specific absorption rate (SAR) is crucial for monitoring radiofrequency power absorption during MRI. Although local SAR distribution is usually calculated through numerical simulations, they are impractical during exams, limiting real‐time patient‐specific SAR assessment. This study confirms the feasibility of deriving in vivo, subject‐specific, image‐based SAR and 10‐g SAR maps directly from MRI data. Methods Complex B1+ maps were derived by combining a B1+ product (XFL) magnitude sequence with balanced steady‐state free precession phase. Anatomical information and tissue masking were obtained from a T1 magnetization‐prepared rapid gradient echo sequence. Electrical conductivity maps were generated from balanced steady‐state free precession phase. Whole‐brain SAR maps were created from MRI data acquired at 3 T using a 32‐channel head coil on 2 healthy volunteers. A correction factor was applied to account for underestimation due to reliance on measurable B1+ data. Numerical simulations compared image‐based SAR with simulation‐based SAR distributions. Results A multi‐slice image‐based brain SAR map was obtained in 12 min (9‐min acquisition, 3‐min SAR reconstruction). In vitro experiments validated B1+ distribution and electrical conductivity values. Calculated electrical conductivities for in vitro and in vivo experiments were within reference ranges. Image‐based SAR and 10‐g SAR maps showed a distribution similar to simulation‐based maps (r = 0.5) after correction. Conclusions This study shows the feasibility of inline, subject‐specific SAR and 10‐g SAR maps from standard brain clinical sequences. Image‐based SAR maps can be a practical alternative during MRI exams when simulations are not feasible.
AbstractList	Introduction Specific absorption rate (SAR) is crucial for monitoring radiofrequency power absorption during MRI. Although local SAR distribution is usually calculated through numerical simulations, they are impractical during exams, limiting real‐time patient‐specific SAR assessment. This study confirms the feasibility of deriving in vivo, subject‐specific, image‐based SAR and 10‐g SAR maps directly from MRI data. Methods Complex B1+ maps were derived by combining a B1+ product (XFL) magnitude sequence with balanced steady‐state free precession phase. Anatomical information and tissue masking were obtained from a T1 magnetization‐prepared rapid gradient echo sequence. Electrical conductivity maps were generated from balanced steady‐state free precession phase. Whole‐brain SAR maps were created from MRI data acquired at 3 T using a 32‐channel head coil on 2 healthy volunteers. A correction factor was applied to account for underestimation due to reliance on measurable B1+ data. Numerical simulations compared image‐based SAR with simulation‐based SAR distributions. Results A multi‐slice image‐based brain SAR map was obtained in 12 min (9‐min acquisition, 3‐min SAR reconstruction). In vitro experiments validated B1+ distribution and electrical conductivity values. Calculated electrical conductivities for in vitro and in vivo experiments were within reference ranges. Image‐based SAR and 10‐g SAR maps showed a distribution similar to simulation‐based maps (r = 0.5) after correction. Conclusions This study shows the feasibility of inline, subject‐specific SAR and 10‐g SAR maps from standard brain clinical sequences. Image‐based SAR maps can be a practical alternative during MRI exams when simulations are not feasible. Introduction Specific absorption rate (SAR) is crucial for monitoring radiofrequency power absorption during MRI. Although local SAR distribution is usually calculated through numerical simulations, they are impractical during exams, limiting real‐time patient‐specific SAR assessment. This study confirms the feasibility of deriving in vivo, subject‐specific, image‐based SAR and 10‐g SAR maps directly from MRI data. Methods Complex B1+ maps were derived by combining a B1+ product (XFL) magnitude sequence with balanced steady‐state free precession phase. Anatomical information and tissue masking were obtained from a T1 magnetization‐prepared rapid gradient echo sequence. Electrical conductivity maps were generated from balanced steady‐state free precession phase. Whole‐brain SAR maps were created from MRI data acquired at 3 T using a 32‐channel head coil on 2 healthy volunteers. A correction factor was applied to account for underestimation due to reliance on measurable B1+ data. Numerical simulations compared image‐based SAR with simulation‐based SAR distributions. Results A multi‐slice image‐based brain SAR map was obtained in 12 min (9‐min acquisition, 3‐min SAR reconstruction). In vitro experiments validated B1+ distribution and electrical conductivity values. Calculated electrical conductivities for in vitro and in vivo experiments were within reference ranges. Image‐based SAR and 10‐g SAR maps showed a distribution similar to simulation‐based maps (r = 0.5) after correction. Conclusions This study shows the feasibility of inline, subject‐specific SAR and 10‐g SAR maps from standard brain clinical sequences. Image‐based SAR maps can be a practical alternative during MRI exams when simulations are not feasible. Specific absorption rate (SAR) is crucial for monitoring radiofrequency power absorption during MRI. Although local SAR distribution is usually calculated through numerical simulations, they are impractical during exams, limiting real-time patient-specific SAR assessment. This study confirms the feasibility of deriving in vivo, subject-specific, image-based SAR and 10-g SAR maps directly from MRI data. Complex B maps were derived by combining a B product (XFL) magnitude sequence with balanced steady-state free precession phase. Anatomical information and tissue masking were obtained from a T magnetization-prepared rapid gradient echo sequence. Electrical conductivity maps were generated from balanced steady-state free precession phase. Whole-brain SAR maps were created from MRI data acquired at 3 T using a 32-channel head coil on 2 healthy volunteers. A correction factor was applied to account for underestimation due to reliance on measurable B data. Numerical simulations compared image-based SAR with simulation-based SAR distributions. A multi-slice image-based brain SAR map was obtained in 12 min (9-min acquisition, 3-min SAR reconstruction). In vitro experiments validated B distribution and electrical conductivity values. Calculated electrical conductivities for in vitro and in vivo experiments were within reference ranges. Image-based SAR and 10-g SAR maps showed a distribution similar to simulation-based maps (r = 0.5) after correction. This study shows the feasibility of inline, subject-specific SAR and 10-g SAR maps from standard brain clinical sequences. Image-based SAR maps can be a practical alternative during MRI exams when simulations are not feasible.
Author	Zanovello, Umberto Keenan, Kathryn E. Martinez, Jessica A. Ogier, Stephen E. Bottauscio, Oriano Zilberti, Luca Hu, Houchun Harry Arduino, Alessandro Moulin, Kevin
AuthorAffiliation	5 Department of Cardiology of Boston Children's Hospital Harvard Medical School Boston Massachusetts USA 1 Physical Measurement Laboratory National Institute of Standards and Technology Boulder Colorado USA 2 Department of Physics University of Colorado Boulder Boulder Colorado USA 4 Department of Radiology, Section of Radiological Science University of Colorado Denver, Anschutz Medical Campus Aurora Colorado USA 3 Istituto Nazionale di Ricerca Metrologica Torino Italy
AuthorAffiliation_xml	– name: 3 Istituto Nazionale di Ricerca Metrologica Torino Italy – name: 4 Department of Radiology, Section of Radiological Science University of Colorado Denver, Anschutz Medical Campus Aurora Colorado USA – name: 2 Department of Physics University of Colorado Boulder Boulder Colorado USA – name: 1 Physical Measurement Laboratory National Institute of Standards and Technology Boulder Colorado USA – name: 5 Department of Cardiology of Boston Children's Hospital Harvard Medical School Boston Massachusetts USA
Author_xml	– sequence: 1 givenname: Jessica A. orcidid: 0000-0002-3274-566X surname: Martinez fullname: Martinez, Jessica A. email: jessica.a.martinezm@gmail.com organization: University of Colorado Boulder – sequence: 2 givenname: Umberto orcidid: 0000-0001-6415-9967 surname: Zanovello fullname: Zanovello, Umberto organization: Istituto Nazionale di Ricerca Metrologica – sequence: 3 givenname: Alessandro orcidid: 0000-0002-4829-5130 surname: Arduino fullname: Arduino, Alessandro organization: Istituto Nazionale di Ricerca Metrologica – sequence: 4 givenname: Houchun Harry orcidid: 0000-0002-0719-1159 surname: Hu fullname: Hu, Houchun Harry organization: University of Colorado Denver, Anschutz Medical Campus – sequence: 5 givenname: Kevin orcidid: 0000-0002-9188-6403 surname: Moulin fullname: Moulin, Kevin organization: Harvard Medical School – sequence: 6 givenname: Stephen E. orcidid: 0000-0003-1098-1693 surname: Ogier fullname: Ogier, Stephen E. organization: National Institute of Standards and Technology – sequence: 7 givenname: Oriano orcidid: 0000-0002-5437-4396 surname: Bottauscio fullname: Bottauscio, Oriano organization: Istituto Nazionale di Ricerca Metrologica – sequence: 8 givenname: Luca orcidid: 0000-0002-2382-4710 surname: Zilberti fullname: Zilberti, Luca organization: Istituto Nazionale di Ricerca Metrologica – sequence: 9 givenname: Kathryn E. orcidid: 0000-0001-9070-5255 surname: Keenan fullname: Keenan, Kathryn E. organization: National Institute of Standards and Technology
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Copyright	2025 The Author(s). published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA. 2025 The Author(s). Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA. 2025. This work is published under Creative Commons Attribution License~https://creativecommons.org/licenses/by/3.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 Correction added after online publication 1 June 2025. The title was corrected to Feasibility study of subject‐specific, brain specific‐absorption‐rate maps retrieved from MRI data. Previously the title referred to 'specific‐absorption‐ratio
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Snippet	Introduction Specific absorption rate (SAR) is crucial for monitoring radiofrequency power absorption during MRI. Although local SAR distribution is usually... Specific absorption rate (SAR) is crucial for monitoring radiofrequency power absorption during MRI. Although local SAR distribution is usually calculated... Introduction Specific absorption rate (SAR) is crucial for monitoring radiofrequency power absorption during MRI. Although local SAR distribution is usually...
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SubjectTerms	Absorption Adult Algorithms Brain Brain - diagnostic imaging Brain mapping Brain Mapping - methods Brain slice preparation Computer Simulation Data acquisition Electrical conductivity Electrical resistivity EPT Feasibility Studies Healthy Volunteers Humans Image processing Image Processing, Computer-Assisted - methods Image reconstruction Imaging Methodology In vivo methods and tests Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical imaging Neuroimaging Phantoms, Imaging Precession Radio frequency Radio Waves RF heating SAR Simulation
Title	Feasibility study of subject‐specific, brain specific‐absorption‐rate maps retrieved from MRI data
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