Skip to main content

Python package for managing DICOM images from different modalities

Project description

ci codecov

Dicom Image Tools

The dicom image tools package was created for giving a framework handling DICOM image data. Adding functionality often used for programmatic image analysis.

The package is still in early development and more features will be added.

Install Dicom Image Tools

Install using pipenv by running:

$ pipenv install dicom-image-tools

Install using pip by running:

$ pip install dicom-image-tools

Only Python 3.7+ is supported.

See project wiki for more detailed documentation

Usage

When you've installed the package you import it as any other package using

import dicom_image_tools 

Importing DICOM images

There are two functions for importing DICOM images, import_dicom_file(file: pathlib.Path) and import_dicom_from_folder(folder: pathlib.Path, recursively: bool = True).

The latter function has an optional input argument for specifying if the folder given should be searched for DICOM files recursively, default = True

Both will return the image/-s in DicomStudy objects, the import_dicom_from_folder function returns a dictionary with the Study Instance UID as the key and the corresponding DicomStudy object as value.

You can then add additional files to the DicomStudy object through the DicomStudy.add_file which takes the file path as a pathlib.Path object as input.

The DicomStudy.Series is a list of all series belonging to the study that has been imported. Each DicomStudy.Series item is an object containing the image/image volume and metadata for each image. The image/image volume is accessed through the ImageVolume attribute of the DicomStudy.Series item, and the metadata in the CompleteMetadata attribute.

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

dicom_image_tools-22.3.1.tar.gz (36.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dicom_image_tools-22.3.1-py3-none-any.whl (46.3 kB view details)

Uploaded Python 3

File details

Details for the file dicom_image_tools-22.3.1.tar.gz.

File metadata

  • Download URL: dicom_image_tools-22.3.1.tar.gz
  • Upload date:
  • Size: 36.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.11

File hashes

Hashes for dicom_image_tools-22.3.1.tar.gz
Algorithm Hash digest
SHA256 cf5cbbba559c39b6f6a7a9ccd0bd2195460f9a8d9dccaf5cd01ed462beb088c2
MD5 277f8e337f2f81c7710e9a8eabac5ef3
BLAKE2b-256 f038771c893042d2ae89760fe1c0d26856858fdc022fcea9581ee06e8ab3e94b

See more details on using hashes here.

File details

Details for the file dicom_image_tools-22.3.1-py3-none-any.whl.

File metadata

  • Download URL: dicom_image_tools-22.3.1-py3-none-any.whl
  • Upload date:
  • Size: 46.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.11

File hashes

Hashes for dicom_image_tools-22.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 c763f7710703555ca744e9e583e3630400ca2150177bb16c5c8adef1e87183e6
MD5 d0cdd7ac079e2ee6e7b1d52b45fb048a
BLAKE2b-256 8f2f2d6df07e184e0df8241ef48bd0cdce2beefe414d32ba910bb38041704628

See more details on using hashes here.

Supported by

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