Metadata-Version: 2.1
Name: nifti-mrs
Version: 0.0.7
Summary: Software tools for the NIfTI-MRS data format
Home-page: https://github.com/wtclarke/nifti_mrs_tools
Author: William Clarke
Author-email: william.clarke@ndcn.ox.ac.uk
License: BSD 3-Clause License
Keywords: MRS
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: VIS
License-File: LICENSE

# Python Tools for NIfTI-MRS

This package contains python-based tools for representing, validating, and manipulating the [NIfTI-MRS format](https://github.com/wtclarke/mrs_nifti_standard/blob/master/specification.MD). [NIfTI-MRS](https://github.com/wtclarke/mrs_nifti_standard) is a standardised format for storing Magnetic Resonance Spectroscopy data. 

These tools are used extensively in the [spec2nii](https://github.com/wtclarke/spec2nii) format conversion program and the [FSL-MRS](fsl-mrs.com) analysis software. However, this library can also be used as a stand-alone set of tools.

## Installation
Installation is via [conda(-forge)]() or [Pypi](https://pypi.org/project/nifti-mrs/).

```conda install -c conda-forge nifti-mrs```

or

```pip install nifti-mrs```

Note this package is a requirement of _spec2nii_ (>v0.4.9) and _FSL-MRS_ (>v2.0.9) and will automatically be installed with them.

## Using the package
### Command-line tool - _mrs_tools_



MRS data stored in NIfTI-MRS format can contain multiple higher dimensions. For example it might contain dimensions encoding multiple receive coils, multiple temporal averages, or even a spectral editing dimension.

Data might need to be manipulated within the NIfTI-MRS storage framework before, after, or during preprocessing. For this, FLS-MRS provides the `mrs_tools` command line script. `mrs_tools` has the ability to merge and split NIfTI-MRS files along the higher encoding dimensions. It can also reorder the higher dimensions, or create a new singleton dimension for further manipulation.

`mrs_tools split` takes a single file and splits it along a specified dimension e.g. `--dim DIM_DYN`, at a single point (`--index 8`) or extracting multiple elements into a second file (`--indices 8 9 10`).

`mrs_tools merge` takes two or more files and merges them along a specified dimension e.g. `--dim DIM_EDIT`.

`mrs_tools reorder` permutes the dimensions of an existing NIfTI-MRS file. For example, the 5th through 7th dimensions can be changed from `DIM_COIL, DIM_DYN, DIM_EDIT` to `DIM_DYN, DIM_EDIT, DIM_COIL` using `--dim_order DIM_DYN DIM_EDIT DIM_COIL`.

`mrs_tools` also contains the `mrs_tools vis` and `mrs_tools info` options to provide quick visualisation and information on the command line. See the [FSL-MRS Visualisation documentation](https://open.win.ox.ac.uk/pages/fsl/fsl_mrs/visualisation.html#quick-glance) for more information on `mrs_tools vis/info`.

__Note: visualisation of NIfTI-MRS data using `mrs_tools` requires the installation of the fsl-mrs package (fsl-mrs.com)__

### As a code library
The command-line tools presents an interface to the underlying code library. The library can be used directly in interactive or scripted python. For example:

```
from nifti_mrs.nifti_mrs import NIFTI_MRS
from nifti_mrs import tools

obj = NIFTI_MRS('path/to/data.nii.gz')

# Split the object at index 16 (1-16, 17-N) along the dynamics dimension
part_1, part_2 = tools.split(obj, 'DIM_DYN', 15)

# Save the first part
part_1.save('output/location/part_1.nii.gz')

```

See the [API documentation]() for details.

## Contributing and tests
Contributions to improve or extend these tools via pull requests are extremely welcome. Contributors, please take time to develop tests to continually validate new features or changes.

## Acknowledgements
### Contributors
William Clarke, University of Oxford  

### Funding acknowledgments
This work was funded by the Wellcome Trust [225924/Z/22/Z, 203139/Z/16/Z and 203139/A/16/Z].
