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Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimens...

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Hi, I was trying to do a comparative study between TIGRE and RTK for which I have extracted the Shepp-Logan Raw projection data from TIGRE and I am trying to...

Hi all, In this PR - https://github.com/InsightSoftwareConsortium/ITK/pull/1868/files ITK introduced an additional constraint on NiFTI files being read. This has affected users across a variety of technologies which use ITK such...

type:Bug

### Description The issue only repro on X86 Asan mode. Could you please help to take a look at this? Thank you. ### Steps to Reproduce 1. git clone https://github.com/InsightSoftwareConsortium/ITK...

type:Bug

### Description Add Zstd support for NIFTI files so that .nii.zst files can be read and written. Similar to issue #348. This would be great for compression/decompression speed and the...

type:Enhancement

# Description I use the command `pip install itk`,the log show it that it didn't have a CMake, then I install the CMake. Then i still fail to install becasue...

type:Bug
area:Python wrapping

There are some variables that should marked as advanced CMake variables with CMake`s `mark_as_advanced`. A current default configuration + `CMAKE_EXPORT_COMPILE_COMMANDS`: ![image](https://github.com/InsightSoftwareConsortium/ITK/assets/25432/6144a362-5877-4bf2-b73c-ea7eb2053abb) Of these, only `BUILD_EXAMPLES`, `BUILD_TESTING`, `ITK_BUILD_DEFAULT_MODULES`, `BUILD_STATIC_LIBS`, `ITK_WRAP_PYTHON` should...

type:Infrastructure
Good first issue

A previous optimization didn't take into account the premable of a dicom file. This adds a check. Fixes #4108

type:Bug
area:IO

### Description The latest version of ITK available in VCPKG is 5.3.0rc2. Could we get official 5.3.0 support added to VCPKG ### Steps to Reproduce ### Expected behavior I would...

type:Compiler

A new threading backend based on [stdexec](https://github.com/NVIDIA/stdexec), which is proposed as the prototype for the new `std::execution` parallelism model for the C++ standard. It supports asynchronous execution with scheduler backends...

type:Performance

My code like this: ``` import itk image2D = itk.imread('image2D.nii.gz') hough_filter = itk.HoughTransform2DCirclesImageFilter.New() hough_filter.SetInput(image2D) hough_filter.SetNumberOfCircles(1) hough_filter.SetMinimumRadius(1) hough_filter.SetMaximumRadius(int(11.4 / 2 / 0.85 + 2)) hough_filter.SetUseImageSpacing(True) hough_filter.SetSweepAngle(0) hough_filter.SetSigmaGradient(1) hough_filter.SetVariance(10) hough_filter.Update() circles =...

type:Bug