From 925eb8fe771ae5edde2d2f4341c317dc11a9b96a Mon Sep 17 00:00:00 2001 From: Matt McCormick Date: Tue, 29 Jan 2019 10:37:11 -0500 Subject: [PATCH] DOC: Updates to the README - Focus branding on the the simpler and broader name "Insight Toolkit (ITK)". ITK is well known as "ITK". Its use and applications go beyond segmentation and registration on medical images. The NLM does not desire branding of ITK. - Add Python package installation intstructions. --- README.md | 34 +++++++++++++++++++++++----------- 1 file changed, 23 insertions(+), 11 deletions(-) diff --git a/README.md b/README.md index 38ef9d0c3d1..341e7d87c90 100644 --- a/README.md +++ b/README.md @@ -30,17 +30,29 @@ Links About ----- -The National Library of Medicine Insight Segmentation and Registration Toolkit -(ITK), or Insight Toolkit, is an open-source, cross-platform C++ toolkit for -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. - -The toolkit may be built from source using [CMake](https://cmake.org). +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](https://cmake.org). Copyright