Expand description
Rapid Two-Step (RTS) dipole inversion
Two-step approach that combines:
- LSMR for well-conditioned k-space regions
- TV regularization for ill-conditioned regions
Reference: Kames, C., Wiggermann, V., Rauscher, A. (2018). “Rapid two-step dipole inversion for susceptibility mapping with sparsity priors.” NeuroImage, 167:276-283. https://doi.org/10.1016/j.neuroimage.2017.11.018
Reference implementation: https://github.com/kamesy/QSM.jl
Structs§
- RtsParams
- RTS algorithm parameters
Functions§
- rts
- RTS dipole inversion (optimized)
- rts_
default - RTS with default parameters
- rts_
with_ progress - RTS with progress callback (optimized)
- shrink 🔒
- Soft thresholding (shrinkage) operator