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Module bfrnet

Module bfrnet 

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BFRnet deep-learning background field removal (onnx feature).

BFRnet is a 3D dual-frequency octave-convolution U-Net that predicts the background field from a masked total field; the local tissue field is total − background, re-masked. Everything is in ppm — the network never sees TE/B0/B0-direction. This mirrors the QSM-CI ONNX port (faithful to the authors’ MATLAB predict to |Δ| ≈ 1e-7).

Weights are not bundled; the caller passes the exported bfrnet.onnx bytes (see crate::models).

Functions§

bfrnet
Run BFRnet on a total field map.