Effect of subject‐specific head morphometry on specific absorption rate estimates in parallel‐transmit MRI at 7 T
Purpose To assess the accuracy of morphing an established reference electromagnetic head model to a subject‐specific morphometry for the estimation of specific absorption rate (SAR) in 7T parallel‐transmit (pTx) MRI. Methods Synthetic T1‐weighted MR images were created from three high‐resolution ope...
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| Veröffentlicht in: | Magnetic resonance in medicine Jg. 89; H. 6; S. 2376 - 2390 |
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Wiley Subscription Services, Inc
01.06.2023
John Wiley and Sons Inc |
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| Abstract | Purpose
To assess the accuracy of morphing an established reference electromagnetic head model to a subject‐specific morphometry for the estimation of specific absorption rate (SAR) in 7T parallel‐transmit (pTx) MRI.
Methods
Synthetic T1‐weighted MR images were created from three high‐resolution open‐source electromagnetic head voxel models. The accuracy of morphing a “reference” (multimodal image‐based detailed anatomical [MIDA]) electromagnetic model into a different subject's native space (Duke and Ella) was compared. Both linear and nonlinear registration methods were evaluated. Maximum 10‐g averaged SAR was estimated for circularly polarized mode and for 5000 random RF shim sets in an eight‐channel transmit head coil, and comparison made between the morphed MIDA electromagnetic models and the native Duke and Ella electromagnetic models, respectively.
Results
The averaged error in maximum 10‐g averaged SAR estimation across pTx MRI shim sets between the MIDA and the Duke target model was reduced from 17.5% with only rigid‐body registration, to 11.8% when affine linear registration was used, and further reduced to 10.7% when nonlinear registration was used. The corresponding figures for the Ella model were 16.7%, 11.2%, and 10.1%.
Conclusion
We found that morphometry accounts for up to half of the subject‐specific differences in pTx SAR. Both linear and nonlinear morphing of an electromagnetic model into a target subject improved SAR agreement by better matching head size, morphometry, and position. However, differences remained, likely arising from details in tissue composition estimation. Thus, the uncertainty of the head morphometry and tissue composition may need to be considered separately to achieve personalized SAR estimation. |
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for author‐reader discussions PurposeTo assess the accuracy of morphing an established reference electromagnetic head model to a subject‐specific morphometry for the estimation of specific absorption rate (SAR) in 7T parallel‐transmit (pTx) MRI.MethodsSynthetic T1‐weighted MR images were created from three high‐resolution open‐source electromagnetic head voxel models. The accuracy of morphing a “reference” (multimodal image‐based detailed anatomical [MIDA]) electromagnetic model into a different subject's native space (Duke and Ella) was compared. Both linear and nonlinear registration methods were evaluated. Maximum 10‐g averaged SAR was estimated for circularly polarized mode and for 5000 random RF shim sets in an eight‐channel transmit head coil, and comparison made between the morphed MIDA electromagnetic models and the native Duke and Ella electromagnetic models, respectively.ResultsThe averaged error in maximum 10‐g averaged SAR estimation across pTx MRI shim sets between the MIDA and the Duke target model was reduced from 17.5% with only rigid‐body registration, to 11.8% when affine linear registration was used, and further reduced to 10.7% when nonlinear registration was used. The corresponding figures for the Ella model were 16.7%, 11.2%, and 10.1%.ConclusionWe found that morphometry accounts for up to half of the subject‐specific differences in pTx SAR. Both linear and nonlinear morphing of an electromagnetic model into a target subject improved SAR agreement by better matching head size, morphometry, and position. However, differences remained, likely arising from details in tissue composition estimation. Thus, the uncertainty of the head morphometry and tissue composition may need to be considered separately to achieve personalized SAR estimation. Click here for author‐reader discussions Purpose To assess the accuracy of morphing an established reference electromagnetic head model to a subject‐specific morphometry for the estimation of specific absorption rate (SAR) in 7T parallel‐transmit (pTx) MRI. Methods Synthetic T1‐weighted MR images were created from three high‐resolution open‐source electromagnetic head voxel models. The accuracy of morphing a “reference” (multimodal image‐based detailed anatomical [MIDA]) electromagnetic model into a different subject's native space (Duke and Ella) was compared. Both linear and nonlinear registration methods were evaluated. Maximum 10‐g averaged SAR was estimated for circularly polarized mode and for 5000 random RF shim sets in an eight‐channel transmit head coil, and comparison made between the morphed MIDA electromagnetic models and the native Duke and Ella electromagnetic models, respectively. Results The averaged error in maximum 10‐g averaged SAR estimation across pTx MRI shim sets between the MIDA and the Duke target model was reduced from 17.5% with only rigid‐body registration, to 11.8% when affine linear registration was used, and further reduced to 10.7% when nonlinear registration was used. The corresponding figures for the Ella model were 16.7%, 11.2%, and 10.1%. Conclusion We found that morphometry accounts for up to half of the subject‐specific differences in pTx SAR. Both linear and nonlinear morphing of an electromagnetic model into a target subject improved SAR agreement by better matching head size, morphometry, and position. However, differences remained, likely arising from details in tissue composition estimation. Thus, the uncertainty of the head morphometry and tissue composition may need to be considered separately to achieve personalized SAR estimation. To assess the accuracy of morphing an established reference electromagnetic head model to a subject-specific morphometry for the estimation of specific absorption rate (SAR) in 7T parallel-transmit (pTx) MRI. Synthetic T -weighted MR images were created from three high-resolution open-source electromagnetic head voxel models. The accuracy of morphing a "reference" (multimodal image-based detailed anatomical [MIDA]) electromagnetic model into a different subject's native space (Duke and Ella) was compared. Both linear and nonlinear registration methods were evaluated. Maximum 10-g averaged SAR was estimated for circularly polarized mode and for 5000 random RF shim sets in an eight-channel transmit head coil, and comparison made between the morphed MIDA electromagnetic models and the native Duke and Ella electromagnetic models, respectively. The averaged error in maximum 10-g averaged SAR estimation across pTx MRI shim sets between the MIDA and the Duke target model was reduced from 17.5% with only rigid-body registration, to 11.8% when affine linear registration was used, and further reduced to 10.7% when nonlinear registration was used. The corresponding figures for the Ella model were 16.7%, 11.2%, and 10.1%. We found that morphometry accounts for up to half of the subject-specific differences in pTx SAR. Both linear and nonlinear morphing of an electromagnetic model into a target subject improved SAR agreement by better matching head size, morphometry, and position. However, differences remained, likely arising from details in tissue composition estimation. Thus, the uncertainty of the head morphometry and tissue composition may need to be considered separately to achieve personalized SAR estimation. To assess the accuracy of morphing an established reference electromagnetic head model to a subject-specific morphometry for the estimation of specific absorption rate (SAR) in 7T parallel-transmit (pTx) MRI.PURPOSETo assess the accuracy of morphing an established reference electromagnetic head model to a subject-specific morphometry for the estimation of specific absorption rate (SAR) in 7T parallel-transmit (pTx) MRI.Synthetic T1 -weighted MR images were created from three high-resolution open-source electromagnetic head voxel models. The accuracy of morphing a "reference" (multimodal image-based detailed anatomical [MIDA]) electromagnetic model into a different subject's native space (Duke and Ella) was compared. Both linear and nonlinear registration methods were evaluated. Maximum 10-g averaged SAR was estimated for circularly polarized mode and for 5000 random RF shim sets in an eight-channel transmit head coil, and comparison made between the morphed MIDA electromagnetic models and the native Duke and Ella electromagnetic models, respectively.METHODSSynthetic T1 -weighted MR images were created from three high-resolution open-source electromagnetic head voxel models. The accuracy of morphing a "reference" (multimodal image-based detailed anatomical [MIDA]) electromagnetic model into a different subject's native space (Duke and Ella) was compared. Both linear and nonlinear registration methods were evaluated. Maximum 10-g averaged SAR was estimated for circularly polarized mode and for 5000 random RF shim sets in an eight-channel transmit head coil, and comparison made between the morphed MIDA electromagnetic models and the native Duke and Ella electromagnetic models, respectively.The averaged error in maximum 10-g averaged SAR estimation across pTx MRI shim sets between the MIDA and the Duke target model was reduced from 17.5% with only rigid-body registration, to 11.8% when affine linear registration was used, and further reduced to 10.7% when nonlinear registration was used. The corresponding figures for the Ella model were 16.7%, 11.2%, and 10.1%.RESULTSThe averaged error in maximum 10-g averaged SAR estimation across pTx MRI shim sets between the MIDA and the Duke target model was reduced from 17.5% with only rigid-body registration, to 11.8% when affine linear registration was used, and further reduced to 10.7% when nonlinear registration was used. The corresponding figures for the Ella model were 16.7%, 11.2%, and 10.1%.We found that morphometry accounts for up to half of the subject-specific differences in pTx SAR. Both linear and nonlinear morphing of an electromagnetic model into a target subject improved SAR agreement by better matching head size, morphometry, and position. However, differences remained, likely arising from details in tissue composition estimation. Thus, the uncertainty of the head morphometry and tissue composition may need to be considered separately to achieve personalized SAR estimation.CONCLUSIONWe found that morphometry accounts for up to half of the subject-specific differences in pTx SAR. Both linear and nonlinear morphing of an electromagnetic model into a target subject improved SAR agreement by better matching head size, morphometry, and position. However, differences remained, likely arising from details in tissue composition estimation. Thus, the uncertainty of the head morphometry and tissue composition may need to be considered separately to achieve personalized SAR estimation. |
| Author | Andersson, Jesper Jeong, Hongbae Jezzard, Peter Hess, Aaron |
| AuthorAffiliation | 3 Centre for Clinical Magnetic Resonance Research, Department of Cardiovascular Medicine University of Oxford Oxford UK 1 Wellcome Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences University of Oxford Oxford UK 2 Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology Massachusetts General Hospital Boston Massachusetts USA 4 British Heart Foundation Centre for Research Excellence Oxford UK |
| AuthorAffiliation_xml | – name: 4 British Heart Foundation Centre for Research Excellence Oxford UK – name: 1 Wellcome Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences University of Oxford Oxford UK – name: 3 Centre for Clinical Magnetic Resonance Research, Department of Cardiovascular Medicine University of Oxford Oxford UK – name: 2 Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology Massachusetts General Hospital Boston Massachusetts USA |
| Author_xml | – sequence: 1 givenname: Hongbae orcidid: 0000-0003-4908-2070 surname: Jeong fullname: Jeong, Hongbae organization: Massachusetts General Hospital – sequence: 2 givenname: Jesper surname: Andersson fullname: Andersson, Jesper organization: University of Oxford – sequence: 3 givenname: Aaron orcidid: 0000-0002-9289-5619 surname: Hess fullname: Hess, Aaron organization: British Heart Foundation Centre for Research Excellence – sequence: 4 givenname: Peter orcidid: 0000-0001-7912-2251 surname: Jezzard fullname: Jezzard, Peter email: peter.jezzard@univ.ox.ac.uk organization: University of Oxford |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36656151$$D View this record in MEDLINE/PubMed |
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| Keywords | RF transmit nonlinear registration parallel transmit electromagnetic body models SAR MRI safety |
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| Notes | Funding information Wellcome Trust, Grant/Award Number: 203139/Z/16/Z; BHF Center of Research Excellence, Oxford, Grant/Award Number: RE/13/1/30181; Dunhill Medical Trust, NIHR Oxford Biomedical Research Center ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Funding information Wellcome Trust, Grant/Award Number: 203139/Z/16/Z; BHF Center of Research Excellence, Oxford, Grant/Award Number: RE/13/1/30181; Dunhill Medical Trust, NIHR Oxford Biomedical Research Center Click here for author‐reader discussions |
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To assess the accuracy of morphing an established reference electromagnetic head model to a subject‐specific morphometry for the estimation of specific... Click here for author‐reader discussions To assess the accuracy of morphing an established reference electromagnetic head model to a subject-specific morphometry for the estimation of specific... PurposeTo assess the accuracy of morphing an established reference electromagnetic head model to a subject‐specific morphometry for the estimation of specific... Click here for author‐reader discussions |
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| SubjectTerms | Absorption Circular polarization Composition Computer Processing and Modeling electromagnetic body models Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical imaging Model accuracy Morphing Morphometry MRI safety nonlinear registration parallel transmit Phantoms, Imaging Registration RF transmit SAR |
| Title | Effect of subject‐specific head morphometry on specific absorption rate estimates in parallel‐transmit MRI at 7 T |
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