Skip to main content

A python package for DICOM to NifTi and NifTi to DICOM-SEG and GSPS conversion

Project description

Nekton

Python Application TestingTest and Release Python VersionsPackage version

A python package for DICOM to NifTi and NifTi to DICOM-SEG and GSPS conversion

SETUP

The python package is available for use on PyPI. It can be setup simply via pip

pip install nekton

To the check the setup, simply check the version number of the nekton package by

python -c 'import nekton; print(nekton.__version__)'

DICOM to NifTi

The DICOM to NifTi conversion in the package is based on a wrapper around the dcm2niix software.

Usage

from nekton.dcm2nii import Dcm2Nii
converter = Dcm2Nii()
converted_files = converter.run(dicom_directory='/test_files/CT5N',  out_directory='/test_files/CT5N', name='Test')
# Converted 5 DCM to Nifti; Output stored @ /test_files/CT5N
print(converted_files)
# ['/test_files/CT5N/Test_SmartScore_-_Gated_0.5_sec_20010101000000_5.nii.gz']

Parameters converter.run:

  • dicom_directory (Path): path to directory with Dicoms
  • dicom_directory (Path, optional): directory to store the output nifti
  • name (str, optional): Name to be given to the output file. Defaults to "".

Returns:

  • List[Path]: output list of Nifti files

Notes

  • The renaming functionality retains the suffixes from the original program.
  • The BIDS sidecar json is retained as well.

NifTi to DICOM-SEG

The NifTi to DICOM-SEG within nekton converts incoming segmentation NifTi to DICOM-SEG. The matching of the segmentation index to a text label is done via json file using the schema suggested by dcmqi. The json can be generated using the gui also an example can be seen here.

Currently, nekton supports creation of multiclass DICOM-SEG of two types-

  • single layer DICOM-SEG, where each non-empty slice has an individual file
  • multi layer DICOM-SEG, where all the n slices are rolled into a single file

Usage

  1. NifTi to single layer DICOM-SEG
from nekton.nii2dcm import Nii2DcmSeg
import glob
converter = Nii2DcmSeg()
path_dcms = [path for path in glob.glob(dir_dcms)]
path_mapping = "mapping.json"
path_seg_nifti = "CT5N_segmentation.nii.gz"
dcmsegs = converter_dcmseg.multiclass_converter(
        segfile = path_seg_nifti, segMapping= path_mapping, dcmfiles =path_dcms, multiLayer=False
    )
print (len(dcmsegs))
# 3
  1. NifTi to multi layer DICOM-SEG
from nekton.nii2dcm import Nii2DcmSeg
import glob
converter = Nii2DcmSeg()
path_dcms = [path for path in glob.glob(dir_dcms)]
path_mapping = "mapping.json"
path_seg_nifti = "CT5N_segmentation.nii.gz"
dcmsegs = converter.multiclass_converter(
        segfile = path_seg_nifti, segMapping= path_mapping, dcmfiles =path_dcms, multiLayer=True
    )
print (len(dcmsegs))
# 1

Parameters converter.multiclass_converter:

  • segfile (Path): path to the nifti segmentation file
  • segMapping (Path): path to the dcmqii format segmentation mapping json
  • dcmfiles (List[Path]): list of paths of all the source dicom files
  • multiLayer (bool, optional): create a single multilayer dicomseg. Defaults to False.

Returns:

  • List[Path]: list of paths of all generated dicomseg files

Notes

  • Multilabel NifTi(in the form of a NifTi file for a single label) to DICOM-SEG is under development.

NifTi to GSPS

This feature will be available in a future release of the nekton

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nekton-0.2.6rc2.tar.gz (5.6 MB view details)

Uploaded Source

Built Distribution

nekton-0.2.6rc2-py3-none-any.whl (5.7 MB view details)

Uploaded Python 3

File details

Details for the file nekton-0.2.6rc2.tar.gz.

File metadata

  • Download URL: nekton-0.2.6rc2.tar.gz
  • Upload date:
  • Size: 5.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.2.1 CPython/3.9.14 Linux/5.15.0-48-generic

File hashes

Hashes for nekton-0.2.6rc2.tar.gz
Algorithm Hash digest
SHA256 8df040905a361c85b5a89dd89b5374e2c52d1047293056344714c32db6da2970
MD5 4d62865f0d5fa3ec44eaa981ca9dc392
BLAKE2b-256 45356b2331fc2b4435b5a6e30425571b54f5a5a36e23dce35501cb04cad14dde

See more details on using hashes here.

File details

Details for the file nekton-0.2.6rc2-py3-none-any.whl.

File metadata

  • Download URL: nekton-0.2.6rc2-py3-none-any.whl
  • Upload date:
  • Size: 5.7 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.2.1 CPython/3.9.14 Linux/5.15.0-48-generic

File hashes

Hashes for nekton-0.2.6rc2-py3-none-any.whl
Algorithm Hash digest
SHA256 41ab969c82c8bf2c499ac3851719c68ed4ff6f09f3748a7f08ebfd7d9ded4647
MD5 16426cc50c82e3cf12c915f5cd0c8976
BLAKE2b-256 b1eff0371a3b4bb282ce069f30711dfa4d34cc0a77cc5d08c2b650facb69c300

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page