ITK is an open-source toolkit for multidimensional image analysis

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for fbudin69500 from gravatar.com fbudin69500 Avatar for jcfr from gravatar.com jcfr Avatar for tbirdso from gravatar.com tbirdso Avatar for thewtex from gravatar.com thewtex

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache)
  • Author: Insight Software Consortium
  • Tags ITK, InsightToolkit, segmentation, registration, image, imaging
Classifiers

Project description

itk-io

ITK is an open-source, cross-platform library that provides developers with an extensive suite of software tools for image analysis. Developed through extreme programming methodologies, ITK employs leading-edge algorithms for registering and segmenting multidimensional scientific images.

This package contains classes for reading and writing images and other data objects.

ITK - The Insight Toolkit

ITK: The Insight Toolkit

GitHub release PyPI Wheels License DOI

C++ Python
Linux Build Status Build Status
macOS Build Status Build Status
Windows Build Status Build Status
Linux (Code coverage) Build Status

Links

About

The Insight Toolkit (ITK) is an open-source, cross-platform toolkit for N-dimensional scientific image processing, segmentation, and registration. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both.

ITK is distributed in binary Python packages. To install:

pip install itk

or

conda install -c conda-forge itk

The cross-platform, C++ core of the toolkit may be built from source using CMake.

Copyright

NumFOCUS holds the copyright of this software. NumFOCUS is a non-profit entity that promotes the use of open source scientific software for educational and research purposes. NumFOCUS delegates project governance to the Insight Software Consortium Council, an educational consortium dedicated to promoting and maintaining open-source, freely available software for medical image analysis. This includes promoting such software in teaching, research, and commercial applications, and maintaining webpages and user and developer communities. ITK is distributed under a license that enables use for both non-commercial and commercial applications. See LICENSE and NOTICE files for details.

Citation

To cite ITK, please reference, as appropriate:

The papers

McCormick M, Liu X, Jomier J, Marion C, Ibanez L. ITK: enabling reproducible research and open science. Front Neuroinform. 2014;8:13. Published 2014 Feb 20. doi:10.3389/fninf.2014.00013

Yoo TS, Ackerman MJ, Lorensen WE, Schroeder W, Chalana V, Aylward S, Metaxas D, Whitaker R. Engineering and Algorithm Design for an Image Processing API: A Technical Report on ITK – The Insight Toolkit. In Proc. of Medicine Meets Virtual Reality, J. Westwood, ed., IOS Press Amsterdam pp 586-592 (2002).

The books

Johnson, McCormick, Ibanez. "The ITK Software Guide: Design and Functionality." Fourth Edition. Published by Kitware, Inc. 2015 ISBN: 9781-930934-28-3.

Johnson, McCormick, Ibanez. "The ITK Software Guide: Introduction and Development Guidelines." Fourth Edition. Published by Kitware, Inc. 2015 ISBN: 9781-930934-27-6.

Specific software version

DOI

Once your work has been published, please create a pull request to add the publication to the ITKBibliography.bib file.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for fbudin69500 from gravatar.com fbudin69500 Avatar for jcfr from gravatar.com jcfr Avatar for tbirdso from gravatar.com tbirdso Avatar for thewtex from gravatar.com thewtex

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache)
  • Author: Insight Software Consortium
  • Tags ITK, InsightToolkit, segmentation, registration, image, imaging
Classifiers

Release history Release notifications | RSS feed

5.4.0

5.4rc4 pre-release

5.4rc3 pre-release

5.4rc2 pre-release

5.4rc1 pre-release

5.3.0

5.3rc4.post4 pre-release

5.3rc4.post3 pre-release

5.3rc4.post2 pre-release

5.3rc4.post1 pre-release

5.3rc4 pre-release

5.3rc3 pre-release

5.3rc2.post1 pre-release

5.3rc2 pre-release

5.3rc1 pre-release

5.2.1.post1

5.2.1

5.2.0.post3

5.2.0.post2

5.2.0.post1

5.2.0

5.2rc3 pre-release

5.2rc2 pre-release

5.2rc1 pre-release

This version

5.1.2

5.1.1.post1

5.1.1

5.1.0.post3

5.1.0.post2

5.1.0.post1

5.1.0

5.1rc3 pre-release

5.1rc2 pre-release

5.1rc1.post1 pre-release

5.1rc1 pre-release

5.1b1 pre-release

5.0.1

5.0.0.post1

5.0.0

5.0rc2 pre-release

5.0rc1 pre-release

5.0b3 pre-release

5.0b1 pre-release

5.0a2 pre-release

5.0a1 pre-release

4.13.2.post1

4.13.2

4.13.1.post1

4.13.0

4.12.0.post1

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

itk_io-5.1.2-cp39-cp39-win_amd64.whl (5.7 MB view details)

Uploaded CPython 3.9 Windows x86-64

itk_io-5.1.2-cp39-cp39-manylinux1_x86_64.whl (14.0 MB view details)

Uploaded CPython 3.9

itk_io-5.1.2-cp39-cp39-macosx_10_9_x86_64.whl (9.9 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

itk_io-5.1.2-cp38-cp38-win_amd64.whl (5.7 MB view details)

Uploaded CPython 3.8 Windows x86-64

itk_io-5.1.2-cp38-cp38-manylinux1_x86_64.whl (14.0 MB view details)

Uploaded CPython 3.8

itk_io-5.1.2-cp38-cp38-macosx_10_9_x86_64.whl (9.9 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

itk_io-5.1.2-cp37-cp37m-win_amd64.whl (5.7 MB view details)

Uploaded CPython 3.7m Windows x86-64

itk_io-5.1.2-cp37-cp37m-manylinux1_x86_64.whl (14.0 MB view details)

Uploaded CPython 3.7m

itk_io-5.1.2-cp37-cp37m-macosx_10_9_x86_64.whl (9.9 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

itk_io-5.1.2-cp36-cp36m-win_amd64.whl (5.7 MB view details)

Uploaded CPython 3.6m Windows x86-64

itk_io-5.1.2-cp36-cp36m-manylinux1_x86_64.whl (14.0 MB view details)

Uploaded CPython 3.6m

itk_io-5.1.2-cp36-cp36m-macosx_10_9_x86_64.whl (9.9 MB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

itk_io-5.1.2-cp35-cp35m-win_amd64.whl (5.7 MB view details)

Uploaded CPython 3.5m Windows x86-64

itk_io-5.1.2-cp35-cp35m-manylinux1_x86_64.whl (14.0 MB view details)

Uploaded CPython 3.5m

File details

Details for the file itk_io-5.1.2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: itk_io-5.1.2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 5.7 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.1 CPython/3.7.3

File hashes

Hashes for itk_io-5.1.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 a4b82dbf6611ea1117e78039641ba9a2f9b672ae534cbfd14e6bbcfd2c47f500
MD5 40e51fbdb3ee88950f17bf17d291bd5c
BLAKE2b-256 3c653336c74073712901aae8d441288ddef1732ceec7502d7c9bf2d58cdb8e8d

See more details on using hashes here.

File details

Details for the file itk_io-5.1.2-cp39-cp39-manylinux1_x86_64.whl.

File metadata

  • Download URL: itk_io-5.1.2-cp39-cp39-manylinux1_x86_64.whl
  • Upload date:
  • Size: 14.0 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.1 CPython/3.7.3

File hashes

Hashes for itk_io-5.1.2-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 ca00ae6968480f10f6a807abedee723e8ed8d4db93f770866df9e58c0ff075fe
MD5 64717448e0a169341416499521162794
BLAKE2b-256 21a7937c37bdf785f3e256453224a8f191d5151409d5408f1578bed1256ad0b2

See more details on using hashes here.

File details

Details for the file itk_io-5.1.2-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: itk_io-5.1.2-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 9.9 MB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.1 CPython/3.7.3

File hashes

Hashes for itk_io-5.1.2-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 dd9cd531ef95a1132565247ea7b51bdc36d054f0e5717f2f669c1c1a939a8c5b
MD5 540b79afead729d8fc7f876ef94e95a2
BLAKE2b-256 d25493328bf45db3c0afd5d8f706be0333b78990018d4afe5956125736f56f93

See more details on using hashes here.

File details

Details for the file itk_io-5.1.2-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: itk_io-5.1.2-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 5.7 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.1 CPython/3.7.3

File hashes

Hashes for itk_io-5.1.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 af596132126bdf5458474e4dba2e4c6a9aaf51adb863dd1f4f8d06ee15b73835
MD5 98412ee9a0c93b381610783259341f9d
BLAKE2b-256 d48f67aa910b5735189b85812b5872dc1e434350fc3f87e4c823a221a367a8e1

See more details on using hashes here.

File details

Details for the file itk_io-5.1.2-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: itk_io-5.1.2-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 14.0 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.1 CPython/3.7.3

File hashes

Hashes for itk_io-5.1.2-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 6ecc528ce4ae42b6d14c972d51055856f130a13474463ba4bf187ed2afdb04b1
MD5 650a3ff74cd1bdc3664799029af94a9b
BLAKE2b-256 9cec4766ea50a260c85394c9108a8e3f98a07e0531023291036001c16b41ca0e

See more details on using hashes here.

File details

Details for the file itk_io-5.1.2-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: itk_io-5.1.2-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 9.9 MB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.1 CPython/3.7.3

File hashes

Hashes for itk_io-5.1.2-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6dc053584fec23912087f331517ab00771fa891e9182519333d4f6e1bfc9486f
MD5 3f4a176ac9695d8b0cc6fde80d6b7b9c
BLAKE2b-256 690ce65a3005442a05d8d7074c9caaf60745d0710abd5b8f9b8638350ae928f2

See more details on using hashes here.

File details

Details for the file itk_io-5.1.2-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: itk_io-5.1.2-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 5.7 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.1 CPython/3.7.3

File hashes

Hashes for itk_io-5.1.2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 20d505c76b2a54064aad2024394232a7c46a2e1191a55628e29dab35f2674c52
MD5 603793b18697af07714fb235fb6acdb0
BLAKE2b-256 941526211e49437e0c1f7fd3a67f052a95ff4497854fc2b4a9cb52995e29bb4a

See more details on using hashes here.

File details

Details for the file itk_io-5.1.2-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: itk_io-5.1.2-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 14.0 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.1 CPython/3.7.3

File hashes

Hashes for itk_io-5.1.2-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 78a88b0e62c293c5f07f38070f7c9bcde32145b11c6fdd03a8bdf8aa8eb06ea3
MD5 3f620bef7c7759cab5bb3e20818ce5e2
BLAKE2b-256 1fcfd3d0c450e8ca2f265e34e66ab0c9af35d9c5e5c40a8653a12ebc672ddac6

See more details on using hashes here.

File details

Details for the file itk_io-5.1.2-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: itk_io-5.1.2-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 9.9 MB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.1 CPython/3.7.3

File hashes

Hashes for itk_io-5.1.2-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 17ea4bfe0b7b64b81b73fee1f2f63e0a6f5bb4d8fc21157c290d257664165744
MD5 e01b69058f762416634c38bc95ea7729
BLAKE2b-256 214c990cacf0bb3dbbae355be019cef6b4642620a9e2d574c5cf39dde882ed20

See more details on using hashes here.

File details

Details for the file itk_io-5.1.2-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: itk_io-5.1.2-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 5.7 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.1 CPython/3.7.3

File hashes

Hashes for itk_io-5.1.2-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 8bf168aa85a7c8847468740809c6e4066ecad9e8e2b4cce29744f2df0b34496c
MD5 d62770e4198fe86e853e89ee06698c53
BLAKE2b-256 f7978fd5794fefd0728df24891c2b136f73beecdde1c77e6f7eb5b8d467629b0

See more details on using hashes here.

File details

Details for the file itk_io-5.1.2-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: itk_io-5.1.2-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 14.0 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.1 CPython/3.7.3

File hashes

Hashes for itk_io-5.1.2-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 944a49dc0146b2049cc0aafc59e78451d1edd2d56bdefff4d3fdc66d85582a6b
MD5 2e85d1d5cac6f5c5a85ec70e2d683ca0
BLAKE2b-256 336fd5c48de0399d79ca07c9ed104e4ba292be45533f106a8787a3527b4da69e

See more details on using hashes here.

File details

Details for the file itk_io-5.1.2-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: itk_io-5.1.2-cp36-cp36m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 9.9 MB
  • Tags: CPython 3.6m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.1 CPython/3.7.3

File hashes

Hashes for itk_io-5.1.2-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e86ed076e384448f72510fb81afd0365bc960f77acdccb1b6812e0e05e73c4b1
MD5 e454a539c9747bfc63fd15bab83ea171
BLAKE2b-256 1e8cf5ee489145a9f58fb206a9883521ffdb2c53feb08ba965649b73f2530354

See more details on using hashes here.

File details

Details for the file itk_io-5.1.2-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: itk_io-5.1.2-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 5.7 MB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.1 CPython/3.7.3

File hashes

Hashes for itk_io-5.1.2-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 7f2d330c53aad301e33028bdf49a2aee764bf933ba9faf0f2816a08256de6140
MD5 b060e43df9dc0c1ec8a0b57087e4efac
BLAKE2b-256 080cd4d745ae1ed58b6e2fbb30a71839d04728621cbe966d98422fa8340132f5

See more details on using hashes here.

File details

Details for the file itk_io-5.1.2-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: itk_io-5.1.2-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 14.0 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.40.1 CPython/3.7.3

File hashes

Hashes for itk_io-5.1.2-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 fb4bc240fd798641e9d11c78bd812241fa3ca90f6b0319b5156faf2bb80fcec2
MD5 44525d2672313bd78f3fdd38499b4506
BLAKE2b-256 91d552dcc27b5491cb1bc29638eb5317a7cae1c3569da9b1f17250172d99d319

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