[vtkusers] ANNOUNCEMENT: ITK 3.16 released

[Berk Geveci]

Hi folks,

We are pleased to announce the release of ITK 3.16.

ITK is an open-source, cross-platform system that provides developers
with an extensive suite of software tools for image analysis.  ITK has
the same BSD licensing terms as VTK and has been developed using
the same software engineering tools as VTK (e.g., cmake, dashboards,
doxygen), ITK provides leading-edge algorithms for registering and
segmenting multidimensional data.   Methods exist in the
InsightApplications repository for connecting ITK and VTK pipelines
together.

* Download instructions are available at:
  http://www.itk.org/ITK/resources/software.html

* Summary of new classes is available at:
  http://www.itk.org/Wiki/ITK_Release_3.16

* Summary of changes is available at:
  http://www.itk.org/Wiki/ITK_Release_3.16_Changed_From_Previous

* Release official announcement
http://www.kitware.com/news/home/browse/ITK?2009_09_16&ITK+3.16+Released

Summary:

The main changes in this release include the continued addition of
classes for managing labeled images contributed on an Insight Journal
article by G. Lehmann. These added classes were the remaining components
of a 70+ class label map morphology module. These classes provide for
the efficient representation of label maps and for conversion between
current ITK label images and the efficient storage format. Details are
available from "Label Object Representation and Manipulation with ITK",
which can be read in the January Source or on the Insight Journal
(http://hdl.handle.net/1926/584). These new classes can be found in the
Code/Review Directory and can be enabled by setting the CMake variable
ITK_USE_REVIEW to ON during the configuration process. Thanks to Gaetan
Lehmann and Sophie Chen for their dedication on bringing these valuable
new functionalities into ITK.

This release offers a fix to a long standing issue in ITK regarding the
computation of physical coordinates associated with pixels.  Thanks to
Tom Vercauteren and Michel Audette for their hard work on
getting this difficult issue fixed.

Many improvements and fixes in the I/O infrastructure were contributed
by Brad Lowekamp, making it now possible to manage large image files
through the streaming infrastructure of the data pipeline. In particular
Brad contributed examples illustrating how to process the entire Visible
Human dataset via an ITK pipeline.