heudiconv
heudiconv copied to clipboard
nipy
A flexible DICOM converter for organizing brain imaging data into structured directory layouts
### Summary When converting with output format `.nii`, the filenames listed in `scans.tsv` have `.nii.gz` extension. The files themselves are correctly converted to uncompressed NIFTIs (thanks to the dcm2niix `compress`...
### Summary TR and TE are incorrectly extracted as -1.0 in `dicominfo.tsv`. We are using Philips multiframe DICOMs, which store the TR and TE tags in sub-elements for functional group...
in reproin we skip lots of things -- derived data, data we don't know how to convert. But that makes it impossible from the dump of data in BIDS dataset...
- [x] see if should be added (interest?) - [ ] extract into a function - [ ] replace `None`s with empty strings? - [ ] move `pyout` imports/make optional...
Just in "an idea" stage TODOs: - [ ] add support for memoizing not just on a single path but on muliple in fscacher - ideally would need also to...
Aiming to fix #40 @cookpa @tsalo -- may be such approach would be sufficient (i.e. would not cause some disturbance as e.g. not saving DICOM tarballs correctly for T1w)? Would...
Hi guys, we're working on curating a dataset containing a mixture of MRI and single voxel MRS data acquired on Siemens scanners (primarily Siemens Prisma). Currently the BIDS standard doesn't...
Here is a PR to allow scans including variable slicing, such as localizer, to be labelled with `acq-` instead of the suffix being indexed (default). As the different slicing still...
ATM we go through entries and add if they aren't already there in https://github.com/nipy/heudiconv/blob/HEAD/heudiconv/external/dlad.py#L73 It is quite wrong since the order of rules in .gitattributes matter and in my case...
Attn @pvelasco who might help to resolve ambiguity @michael-sun 's dataset. We had to disable matching based on Shims, so the settings inthe heuristic are: ``` POPULATE_INTENDED_FOR_OPTS = { 'matching_parameters':...