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  Individual voxel models for head SAR estimation

Gabel, F., Solomakha, G., Bosch, D., Glang, F., Avdievich, N., Scheffler, K., et al. (2024). Individual voxel models for head SAR estimation. In ISMRM & ISMRT Annual Meeting & Exhibition 2024 (pp. 443).

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-3990-E Version Permalink: https://hdl.handle.net/21.11116/0000-000F-3995-9
Genre: Meeting Abstract

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https://www.ismrm.org/24/docs/24ToC.pdf (Abstract)
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 Creators:
Gabel, F1, Author           
Solomakha, G1, Author                 
Bosch, D1, Author                 
Glang, F1, Author                 
Avdievich, NI1, Author                 
Scheffler, K1, Author                 
Bause, J1, Author                 
Affiliations:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              

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 Abstract: Motivation: Accurate human tissue models for simulation of RF power absorption are a key safety requirement for transmit coil development especially at ultra-high field. Goal(s): To create individual voxel models of the human head and torso. Approach: A pipeline for head and torso segmentation was developed based on a 3T multi-contrast protocol and tailored post-processing. The resulting voxel models were used for electromagnetic simulation of a self-developed Tx array at 9.4T. Results: Strong agreement was found between measured and simulated B maps using the generated voxel model. Simulated worst-case SAR distributions differed significantly between individual and ‘off-the-shelf’ voxel models. Impact: We present a pipeline for the creation of individual human tissue voxel models covering head and torso, which is based on multi-contrast MR image segmentation. This meets a central need in safety-related simulations of ultra-high field RF coil arrays.

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 Dates: 2024-05
 Publication Status: Published online
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Title: ISMRM & ISMRT Annual Meeting & Exhibition 2024
Place of Event: Singapore
Start-/End Date: 2024-05-04 - 2024-05-09

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Title: ISMRM & ISMRT Annual Meeting & Exhibition 2024
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: 0789 Start / End Page: 443 Identifier: -