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-0.2.6.tar.gz (24.1 MB view details)

Uploaded Source

Built Distribution

nekton-0.2.6-py3-none-any.whl (24.2 MB view details)

Uploaded Python 3

File details

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

File metadata

  • Download URL: nekton-0.2.6.tar.gz
  • Upload date:
  • Size: 24.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.11.4 Darwin/22.2.0

File hashes

Hashes for nekton-0.2.6.tar.gz
Algorithm Hash digest
SHA256 e0b1228edcd2ae7460d695214ef1b879ed49e149471868fa4e47186258b531a3
MD5 a70f108938f2eca91198a688ee72ed2c
BLAKE2b-256 8f3524074d89e6f789084c5c2040d1279874307f81f2abb710f1ace3d2c1ace0

See more details on using hashes here.

File details

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

File metadata

  • Download URL: nekton-0.2.6-py3-none-any.whl
  • Upload date:
  • Size: 24.2 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.6.1 CPython/3.11.4 Darwin/22.2.0

File hashes

Hashes for nekton-0.2.6-py3-none-any.whl
Algorithm Hash digest
SHA256 5eca702f1c0dc6ed8a410939ae9cc7e13e7bdc9adde98f6cbd87b945875c5da9
MD5 2d2db2eed110fb324ba881126c93cfc8
BLAKE2b-256 40ad91c4105902e1249eebb937b41f5fed40e2f9e21099c127da0e5154992b84

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