Slicer 4.4 has been released!

The Slicer community is pleased to announce the release of Slicer 4.4, available for download on:


Developed in collaboration with the National Association for Medical Image Computing (NA-MIC) and the broader Slicer community, Slicer 4.4 is a free, open-source (BSD-style license) software platform for the segmentation, registration, visualization, and analysis of medical images for preclinical and clinical research involving disease detection, diagnosis, treatment planning, response monitoring, population analysis, and image-guided therapy research. Available for Linux, MacOSX, and Windows systems, Slicer is extensible, with powerful plug-in capabilities for adding algorithms and creating custom applications. Features of Slicer include support for multi-modality imaging including, MRI, CT, ultrasound, nuclear medicine, and microscopy; a bidirectional interface for devices; and multi-organ support from head to toe.

Spearheaded at Kitware by Jean-Christophe Fillion-Robin, Slicer 4.4 introduces an improved App Store, known as the Extensions Manager, for adding plug-ins to Slicer. More than 50 extensions are currently available.  Other major Slicer 4.4 features include an improved Transforms module with support for non-linear transforms and visualization of transforms in 2D and 3D, a new Subject hierarchy module to efficiently organize and manipulate data loaded in Slicer, and a new Landmark registration module for interactive registration.  In addition, Compare Volumes was added to provide the ability to create an overview of one or more volumes, and the user interface of Colors, Markups,  DICOM, and Interactive Editor were also improved. In total, Slicer 4.4 includes close to 400 feature improvements and bug fixes for enhanced performance, utility, and stability.  For a complete list of Slicer 4.4 highlights, please go to Slicer’s Wiki page.

To download Slicer 4.4, please visit Slicer’s download page, and to find pointers to the source code, please see Slicer’s mailing lists and bug tracker. A series of tutorials and data sets for training on the use of Slicer, can be found on the Slicer Training page.



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