Feasibility study of subject‐specific, brain specific‐absorption‐rate maps retrieved from MRI data
Article Swipe
Jessica Martinez
,
Umberto Zanovello
,
Alessandro Arduino
,
Peng Hu
,
Kévin Moulin
,
Stephen Ogier
,
O. Bottauscio
,
Luca Zilberti
,
Kathryn E. Keenan
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/mrm.30547
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/mrm.30547
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 B 1 + maps were derived by combining a B 1 + product (XFL) magnitude sequence with balanced steady‐state free precession phase. Anatomical information and tissue masking were obtained from a T 1 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 1 + 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 B 1 + 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.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/mrm.30547
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/mrm.30547
- OA Status
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- Cited By
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- Related Works
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- OpenAlex ID
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https://openalex.org/W4410715872Canonical identifier for this work in OpenAlex
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https://doi.org/10.1002/mrm.30547Digital Object Identifier
- Title
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Feasibility study of subject‐specific, brain specific‐absorption‐rate maps retrieved from
MRI dataWork title - Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-05-24Full publication date if available
- Authors
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Jessica Martinez, Umberto Zanovello, Alessandro Arduino, Peng Hu, Kévin Moulin, Stephen Ogier, O. Bottauscio, Luca Zilberti, Kathryn E. KeenanList of authors in order
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https://doi.org/10.1002/mrm.30547Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/mrm.30547Direct link to full text PDF
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hybridOpen access status per OpenAlex
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Computer science, Nuclear magnetic resonance, Chemistry, PhysicsTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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