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Back to Documentation 3.6

Introduction

The community of Slicer developers is proud to announce the release of Slicer 3.6.

Click here to download different versions of Slicer3 and find pointers to the source code, mailing lists and bug tracker. *Please note that Slicer continues to be a research package and is not intended for clinical use. Testing of functionality is an ongoing activity with high priority, however, some features of Slicer3 are not fully tested.
The Slicer Training page provides a series of courses for learning how to use Slicer3. The portfolio contains self-guided presentation and sample data sets

The main slicer.org pages provide a guided tour to the application, training materials, and the development community. New users should start there because we try to keep the pages organized and up to date.

Our Philosophy

Slicer is a community platform created for the purpose of subject specific image analysis and visualization.

Multi-modality imaging including, MRI, CT, US, nuclear medicine, and microscopy
Multi organ from head to toe
Bidirectional interface for devices
Expandable and interfaced to multiple toolkits

There is no restriction on use, but permissions are responsibility of users. For details on the license see here

Slicer Highlights

Slicer v3.6 - New and Improved Modules
The Interactive Editor can be used to create and edit label maps for quantitative analysis and surface model generation (Steve Pieper)
Volume Rendering (Yanling Liu, Julien Finet, Lisa Avila)
Colors (Nicole Aucoin)
Measurements (rulers and angles) (Nicole Aucoin)
Fiducials (Nicole Aucoin)
EM Segmenter (Kilian Pohl)
Fast Marching segmentation (Andriy Fedorov)
Robust Statistical Segmentation (Yi Gao)
NEW: Multiresolution Affine registration (Casey Goodlett)
Improved: Expert Automated Registration (Casey Goodlett)
NEW: Fiducial Registration (Casey Goodlett)
NEW: BRAINSFit Registration (Hans Johnson)
NEW: BRAINSDemonWarp (Hans Johnson)
NEW: BRAINSResample (Hans J. Johnson)
NEW: BRAINSROIAuto (Hans J. Johnson)
NEW: Plastimatch non-rigid registration (Greg Sharp)
PETCTFusion (Wendy Plesniak)
4D Image Viewer (Junichi Tokuda)
MRIBiasFieldCorrection correction of MRI intensity inhomogeneity i.e. bias field (Sylvain Jaume)
N4 Bias Field Correction (Andriy Fedorov)
Mesh Contour Segmentation (Peter Karasev)
Model Transform (Alex Yarmarkovich)
Resample Scalar/Vector/DWI Volume (Francois Budin)
Crop Volume (Andriy Fedorov)
Virtual Endoscopy (Steve Pieper)
ChangeTracker (Andriy Fedorov)
OpenIGTLinkIF (Junichi Tokuda)
ProstateNav (Andras Lasso, Junichi Tokuda)
NeuroNav (Haiying Liu)
IGT tool selector (A. Wiles)

Slicer Extensions

Slicer v3.6 - Extensions
The Plastimatch DICOM RT reader allows import and conversion of data in that format. (Greg Sharp)
The ABC Segmenter is based on ITK EM technology.
Fuzzy segmentation
Hammer Registration can be used to build statistical brain atlases
Plastimatch non-rigid registration (Greg Sharp)
Arctic wizard (Automatic Regional Cortical ThICkness)
Lupus white matter lesions segmentation (Jeremy Bockholt, Mark Scully)
EM DTI clustering (Mahnaz Maddah)
Rician Noise Filter for noise removal in DWI data
The FourD Analysis module was designed for time series analysis (Junichi Takuda)
Centerline extraction using Voronoi diagrams (Luca Antiga, Daniel Haehn)
Label diameter estimation (Andriy Fedorov)