Free Download 3D Slicer 4.8.0 r26489 - Image Computing Platform For Medical Image Processing and Visualization For Windows, Mac & Linux
A multi-platform, free and open source software package for visualization and medical image computing
It is a software platform for the analysis (including registration and interactive segmentation) and visualization (including volume rendering) of medical images and for research in image guided therapy.
It is similar to a radiology workstation that supports versatile visualizations but also provides advanced functionality such as automated segmentation and registration for a variety of application domains.
As a programming platform, 3D Slicer facilitates translation and evaluation of the new quantitative methods by allowing the biomedical researcher to focus on the implementation of the algorithm, and providing abstractions for the common tasks of data communication, visualization and user interface development.
Multi organ: from head to toe.
Support for multi-modality imaging including, MRI, CT, US, nuclear medicine, and microscopy.
Bidirectional interface for devices.
Slicer follows a modular paradigm in delivering task-specific functionality to the user. Each module is a feature-complete functional unit designed to serve a specific task. A variety of modules designed for different research applications are included in the distribution of the software. The modules are grouped according to the functionality they provide.
Filtering: tools for pre-processing and auxiliary operations on images. Functionality includes arithmetic operations, Gaussian and anisotropic denoising filters and intensity inhomogeneity bias field correction, among other tools.
Registration: rigid and non-rigid spatial alignment of the images. These modules support point-, surface- and intensity-based registration. Individual intensity-based registration modules implement algorithms that vary by the similarity metric used (e.g., mutual information or cross-correlation) and flexibility of the transformation parameterization (e.g., rigid, affine, B-spline and dense deformation fields are supported).
Segmentation: tools that separate individual sub-regions in the dataset based on certain features. Most of the tools in this category operate on single- or multi-channel images, although a module for segmentation of triangular surfaces based on curvature is also available. Image-based segmentation tools include both interactive and automated methods. Techniques implemented include region-based statistical methods, level sets, active learning and Expectation-Maximization multi-channel segmentation. The Editor module contains a collection of tools for manual and semi-automatic segmentation.
Surface models: tools for creating and manipulating triangulated surface models. Such models can be constructed either from grayscale image volumes, or, more typically, from the segmented label maps.
Diffusion: modules designed specifically for processing Diffusion Tensor Imaging (DTI) MRI. This category includes tools for diffusion I/O as well as techniques for denoising, tractography, and clustering of fiber tracts.
Image Guided Therapy (IGT): modules that support applications in image-guided therapy. The key functionality provided by the tools in this category is the OpenIGTLink interface that enables exchange of data between Slicer and external systems, such as robotic devices, MR scanners, and commercial image-guided surgery platforms.