FAST

Framework for Heterogeneous Medical Image Computing and Visualization

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.

Getting started with FAST

Join the chat at https://gitter.im/smistad/FAST

To setup and build the framework, see the instructions for your operating system: * Linux (Ubuntu) * Windows * Mac OS X

To start using the framework, see the Getting started with FAST guide or the examples page.

Build status

Master branch * Ubuntu Linux 14.04, AMD CPU, AMD GPU - Build Status * Mac OS X 10.9, Intel CPU, NVIDIA GPU - Build Status * Windows 8.1, Intel CPU, NVIDIA GPU - Build Status

Development branch * Ubuntu Linux 14.04, AMD CPU, AMD GPU - Build Status * Mac OS X 10.9, Intel CPU, NVIDIA GPU - Build Status * Windows 8.1, Intel CPU, NVIDIA GPU - Build Status

Surface mesh extracted from a large abdominal CT scan in about 100 ms using FAST and a modern GPU. Ultrasound image segmented using binary thresholding.

Related Repositories

fast-ruby

fast-ruby

:dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms. ...

fast-rcnn

fast-rcnn

Fast R-CNN ...

Fast-Android-Networking

Fast-Android-Networking

A Complete Fast Android Networking Library that also support HTTP/2 ...

fast-serialization

fast-serialization

FST: fast java serialization drop in-replacement http://ruedigermoeller.github.io/fast-serialization/ ...

fast-cli

fast-cli

Test your download speed using fast.com ...


Top Contributors

smistad rubenfagerli gitter-badger

Releases

-   v0.2.0 zip tar
-   v0.1.0 zip tar