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

@@ -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).
 
 
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