itk-rtk

The Reconstruction Toolkit (RTK) for fast circular cone-beam CT reconstruction.

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Project description

Based on the Insight Toolkit ITK, RTK provides: basic operators for reconstruction (e.g. filtering, forward, projection and backprojection), multithreaded CPU and GPU versions, tools for respiratory motion correction, I/O for several scanners, preprocessing of raw data for scatter correction.

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Release history Release notifications | RSS feed

2.6.0

Jul 7, 2024

2.5.0

Sep 18, 2023

2.4.1

Nov 24, 2022

2.4.0

Oct 18, 2022

2.3.0

Sep 22, 2021

2.2.0

Jan 26, 2021

This version

2.0.1

May 23, 2019

2.0.0

Feb 11, 2019

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Source Distribution

itk-rtk-2.0.1.zip (2.1 MB view hashes)

Uploaded May 23, 2019 Source

Built Distributions

itk_rtk-2.0.1.post1-cp37-cp37m-win_amd64.whl (7.3 MB view hashes)

Uploaded May 27, 2019 CPython 3.7m Windows x86-64

itk_rtk-2.0.1.post1-cp36-cp36m-win_amd64.whl (7.3 MB view hashes)

Uploaded May 27, 2019 CPython 3.6m Windows x86-64

itk_rtk-2.0.1.post1-cp35-cp35m-win_amd64.whl (7.3 MB view hashes)

Uploaded May 27, 2019 CPython 3.5m Windows x86-64

itk_rtk-2.0.1-cp37-cp37m-manylinux1_x86_64.whl (12.7 MB view hashes)

Uploaded May 23, 2019 CPython 3.7m

itk_rtk-2.0.1-cp37-cp37m-macosx_10_9_x86_64.whl (8.8 MB view hashes)

Uploaded May 23, 2019 CPython 3.7m macOS 10.9+ x86-64

itk_rtk-2.0.1-cp36-cp36m-manylinux1_x86_64.whl (12.7 MB view hashes)

Uploaded May 23, 2019 CPython 3.6m

itk_rtk-2.0.1-cp36-cp36m-macosx_10_9_x86_64.whl (8.8 MB view hashes)

Uploaded May 23, 2019 CPython 3.6m macOS 10.9+ x86-64

itk_rtk-2.0.1-cp35-cp35m-manylinux1_x86_64.whl (12.7 MB view hashes)

Uploaded May 23, 2019 CPython 3.5m

itk_rtk-2.0.1-cp35-cp35m-macosx_10_9_x86_64.whl (8.8 MB view hashes)

Uploaded May 23, 2019 CPython 3.5m macOS 10.9+ x86-64

itk_rtk-2.0.1-cp27-cp27mu-manylinux1_x86_64.whl (12.7 MB view hashes)

Uploaded May 23, 2019 CPython 2.7mu

itk_rtk-2.0.1-cp27-cp27m-manylinux1_x86_64.whl (12.7 MB view hashes)

Uploaded May 23, 2019 CPython 2.7m

itk_rtk-2.0.1-cp27-cp27m-macosx_10_9_x86_64.whl (8.8 MB view hashes)

Uploaded May 23, 2019 CPython 2.7m macOS 10.9+ x86-64

Hashes for itk-rtk-2.0.1.zip

Hashes for itk-rtk-2.0.1.zip
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Hashes for itk_rtk-2.0.1.post1-cp37-cp37m-win_amd64.whl

Hashes for itk_rtk-2.0.1.post1-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
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Hashes for itk_rtk-2.0.1.post1-cp36-cp36m-win_amd64.whl

Hashes for itk_rtk-2.0.1.post1-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`2cdb43a3666dd6ce4a8784b1c9284e515ac112c58263548ff6fb20fe2ebbb340`
MD5	`f82ebabd8092da2ded71fd473146487f`
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Hashes for itk_rtk-2.0.1.post1-cp35-cp35m-win_amd64.whl

Hashes for itk_rtk-2.0.1.post1-cp35-cp35m-win_amd64.whl
Algorithm	Hash digest
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Hashes for itk_rtk-2.0.1-cp37-cp37m-manylinux1_x86_64.whl

Hashes for itk_rtk-2.0.1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm	Hash digest
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Hashes for itk_rtk-2.0.1-cp37-cp37m-macosx_10_9_x86_64.whl

Hashes for itk_rtk-2.0.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
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Hashes for itk_rtk-2.0.1-cp36-cp36m-manylinux1_x86_64.whl

Hashes for itk_rtk-2.0.1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm	Hash digest
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Hashes for itk_rtk-2.0.1-cp36-cp36m-macosx_10_9_x86_64.whl

Hashes for itk_rtk-2.0.1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
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Hashes for itk_rtk-2.0.1-cp35-cp35m-manylinux1_x86_64.whl

Hashes for itk_rtk-2.0.1-cp35-cp35m-manylinux1_x86_64.whl
Algorithm	Hash digest
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Hashes for itk_rtk-2.0.1-cp35-cp35m-macosx_10_9_x86_64.whl

Hashes for itk_rtk-2.0.1-cp35-cp35m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
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Hashes for itk_rtk-2.0.1-cp27-cp27mu-manylinux1_x86_64.whl

Hashes for itk_rtk-2.0.1-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`9f2606a33418280d773728b2c89fa977041b3977c81e3872924310e998bfcab6`
MD5	`a7de66c2f683f0644cb46db2f1c525ed`
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Hashes for itk_rtk-2.0.1-cp27-cp27m-manylinux1_x86_64.whl

Hashes for itk_rtk-2.0.1-cp27-cp27m-manylinux1_x86_64.whl
Algorithm	Hash digest
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MD5	`cbe138adf49aec67045ad96f7391da4e`
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Hashes for itk_rtk-2.0.1-cp27-cp27m-macosx_10_9_x86_64.whl

Hashes for itk_rtk-2.0.1-cp27-cp27m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`5db437222cbdd0af994184a3cb8e6317eae6c76a4cb42ecd8e1cbf9ca2c41bbc`
MD5	`94a60038ad096ed1731fd61d6ba7b2d0`
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