Deep learning-based whole-brain B₁ ⁺-mapping at 7T.

ABSTRACT:

Purpose

This study investigates the feasibility of using complex-valued neural networks (NNs) to estimate quantitative transmit magnetic RF field (B₁ ⁺) maps from multi-slice localizer scans with different slice orientations in the human head at 7T, aiming to accelerate subject-specific B₁ ⁺-calibration using parallel transmission (pTx).

Methods

Datasets containing channel-wise B₁ ⁺-maps and corresponding multi-slice localizers were acquired in axial, sagittal, and coronal orientation in 15 healthy subjects utilizing an eight-channel pTx transceiver head coil. Training included five-fold cross-validation for four network configurations: NNcxtra$$ {\mathrm{NN}}_{\mathrm{cx}}^{\mathrm{tra}} $$ used transversal,

SUBMITTER: Krueger F 

PROVIDER: S-EPMC11782730 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature