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).

API Documentation

This page contains the API documentation of FAST.

Contents

• Class list
• Class inheritance graph
• File list

Getting started with 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.

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.