qmri-io
NIFTI, DICOM, and BIDS I/O for qmri.
Installation
pip install qmri-io
Quick Start
from qmri.diffusion import adc
from qmri.io import nifti
# Load DWI data
dwi = nifti.load("dwi.nii.gz")
# Fit ADC
result = adc.fit(dwi.data, dwi.b_values, method="iwlls")
# Save result
nifti.save(result.adc, dwi.affine, "adc_map.nii.gz")
Features
- NIFTI support via nibabel
- BIDS dataset loading with automatic sidecar parsing
- DICOM support (optional, requires pydicom)
- Sidecar file handling (.bval, .bvec, .json)
Design
This package handles file I/O so the core qmri package doesn't need nibabel or pydicom as dependencies. Functions return simple dataclasses with numpy arrays, not complex container objects.
Documentation
Full documentation: https://gold-standard-phantoms.github.io/qmri
Licence
MIT
1 maintainer
Metadata
1 maintainer
Release files for qmri-io 0.1.0
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qmri_io-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / qmri_io-0.1.0-py3-none-any.whl
| Download URL | qmri_io-0.1.0-py3-none-any.whl |
|---|---|
| Size | 9.0 kB |
| Tags | Python 3 |
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