FAST (Framework for Heterogeneous Medical Image Computing and Visualization) is an open-source cross-platform framework with the main goal of making it easier to do processing and visualization of medical images on heterogeneous systems (CPU+GPU).
A detailed description of the framework design can be found on the project wiki or in the research article:
FAST: framework for heterogeneous medical image computing and visualization.
Erik Smistad, Mohammadmehdi Bozorgi, Frank Lindseth.
International Journal of Computer Assisted Radiology and Surgery. February 2015.
Preprint of article can be downloaded from here. If you use FAST for research, please cite this article.
To setup and build the framework, see the instructions for your operating system:
To start using the framework, see the Getting started with FAST guide or the examples page.
Master branch
- Ubuntu Linux 14.04, AMD CPU, AMD GPU -
- Mac OS X 10.9, Intel CPU, NVIDIA GPU -
- Windows 8.1, Intel CPU, NVIDIA GPU -
Development branch
- Ubuntu Linux 14.04, AMD CPU, AMD GPU -
- Mac OS X 10.9, Intel CPU, NVIDIA GPU -
- Windows 8.1, Intel CPU, NVIDIA GPU -
