Releases: lamyj/dicomifier
v2.0.1
v2.0.0
New unified syntax Tired of remembering if your dicom2nifti
comes from mricron or dicomifier? All commands are now gathered under the dicomifier
banner (dicomifier to-dicom
, dicomifier to-nifti
, etc.). See the documentation for more details.
Diffusion MRI Tired of fighting obscure vendor meta-data? See the diffusion-scheme command and related documentation.
Improved performance Tired of waiting for your conversion? Depending on the complexity of data sets, converting to DICOM is between 2 and 6 times faster, and converting to NIfTI between 1.25 and 1.8 times faster (the improvement is larger for mode complex data sets).
Improved listing Tired of looking inside arcane directories to find study or series descriptions? The list command will show user-friendly name and paths for all convertible data.
Miscellaneous
- API documentation
- Improved unit testing and test data
- Conversion of partial Bruker data (single experiment or even reconstruction)
- Improved DICOM series splitting (e.g. Siemens XA data exported with "classic 2D", GE diffusion data)
- Single-step conversion from Bruker to NIfTI (
dicomifier nifti
)
v1.4.0
v1.3.0
New features:
- Option to change the layout of the DICOM files created by bruker2dicom. Adding
--layout
or-l
to the call tobruker2dicom
allow the user to choose between the current nested layout (-l nested
) and a flat layout with all files in the same directory (-l flat
).
v1.2.2
v1.2.1
v1.2.0
New features:
- Improve splitting multi-volume Bruker sequences
- Official Docker image
Bug fixes:
- Python 2 compatibility
Removed features:
- Graphical user interface