CoilCompression#
- class pulserver.recon.CoilCompression[source]#
Bases:
objectReduce the receive channels of a unit’s k-space to virtual channels.
The basis is estimated once per stream, from the first unit it is given, and applied to every unit. It consists of the eigenvectors of the channel covariance over every placed sample of the unit’s calibration k-space, or of its imaging k-space where it holds no calibration data (
bartorch.tools.cc()), of which then_virtualwith the largest eigenvalues are kept: the virtual channels are uncorrelated and ordered by decreasing power.bartorch.tools.ccapply()projects the k-space ofdata.dataanddata.refonto it. The basis is stored incontext.coil_compression, andcoil_maps()records it with the maps it estimates, which only units compressed by the same basis reuse: compress a unit before asking for its maps.The returned unit holds new buffers with
n_virtualchannels, and shares itscountersandacquisitionswith the unit it was made from. bartorch is imported when a unit is compressed; thecoilsextra installs it.Corresponds to Gadgetron’s
GenericReconEigenChannelGadget.- Parameters:
n_virtual – Virtual channels kept, at most the number of channels of the first unit.