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

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Title: Feasibility study of subject‐specific, brain specific‐absorption‐rate maps retrieved from MRI data.
Authors: Martinez, Jessica A.1,2 (AUTHOR) jessica.a.martinezm@gmail.com, Zanovello, Umberto3 (AUTHOR), Arduino, Alessandro3 (AUTHOR), Hu, Houchun Harry4 (AUTHOR), Moulin, Kevin5 (AUTHOR), Ogier, Stephen E.1 (AUTHOR), Bottauscio, Oriano3 (AUTHOR), Zilberti, Luca3 (AUTHOR), Keenan, Kathryn E.1 (AUTHOR)
Source: Magnetic Resonance in Medicine. Sep2025, Vol. 94 Issue 3, p1136-1151. 16p.
Subjects: Electric conductivity, Correction factors, Brain mapping, Magnetic resonance imaging, Radio frequency
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. [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.)
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  Label: Title
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  Data: Feasibility study of subject‐specific, brain specific‐absorption‐rate maps retrieved from MRI data.
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  Data: <searchLink fieldCode="AR" term="%22Martinez%2C+Jessica+A%2E%22">Martinez, Jessica A.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> jessica.a.martinezm@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Zanovello%2C+Umberto%22">Zanovello, Umberto</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Arduino%2C+Alessandro%22">Arduino, Alessandro</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hu%2C+Houchun+Harry%22">Hu, Houchun Harry</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Moulin%2C+Kevin%22">Moulin, Kevin</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ogier%2C+Stephen+E%2E%22">Ogier, Stephen E.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bottauscio%2C+Oriano%22">Bottauscio, Oriano</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zilberti%2C+Luca%22">Zilberti, Luca</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Keenan%2C+Kathryn+E%2E%22">Keenan, Kathryn E.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Magnetic+Resonance+in+Medicine%22">Magnetic Resonance in Medicine</searchLink>. Sep2025, Vol. 94 Issue 3, p1136-1151. 16p.
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  Data: <searchLink fieldCode="DE" term="%22Electric+conductivity%22">Electric conductivity</searchLink><br /><searchLink fieldCode="DE" term="%22Correction+factors%22">Correction factors</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+mapping%22">Brain mapping</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Radio+frequency%22">Radio frequency</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  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 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  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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      – SubjectFull: Correction factors
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      – SubjectFull: Brain mapping
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              M: 09
              Text: Sep2025
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