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Abstract #0789

Individual voxel models for head SAR estimation

Felix Gabel1, Georgiy Solomakha1, Dario Bosch1,2, Felix Glang1, Nikolai I Avdievich1, Klaus Scheffler1,2, and Jonas Bause1
1Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2Department for Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany

Synopsis

Keywords: High-Field MRI, Segmentation, voxel models, ultra-high field, EM simulation

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 B1+ 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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