The Quantitative Imaging Toolkit (QIT)

Welcome to the main documentation site for the Quantitative Imaging Toolkit (QIT), a software package for visualization, exploration, and analysis of neuroimaging datasets. You can download the latest version on the Installation page or the links below:

Download Download QIT for MacOS     Download Download QIT for Windows     Download Download QIT for Linux

What is QIT?

QIT is a software package of computational tools for the modeling, analysis, and visualization of scientific imaging data. It was specifically developed for tractography and microstructure analysis of diffusion magnetic resonance imaging datasets, but it has capabilities that are generally useful for other imaging modalities as well. It supports many different data types, including multi-channel volumetric datasets, multi-label masks, curves, triangle meshes, geometric primitives, tabular data, and spatial transformations. QIT provides an application called qitview for interactive 3D rendering and data analysis, as well as, a suite of command line tools available through a program named qit that provides a way to do batch processing and scripting. In addition, QIT also provides ways to integrate of these tools into grid computing environments and scientific workflows.

Who develops QIT?

QIT is designed, implemented, and supported by Ryan P. Cabeen, PhD as a software platform for neuroimaging research. You can learn more about research applications of QIT at https://cabeen.io. Development started in 2012 to support neuroimaging projects in the lab of David H. Laidlaw in the Department of Computer Science at Brown University. Currently, QIT is actively being developed and applied in the lab of Dr. Arthur Toga at the USC Laboratory of Neuro Imaging Resource.

This work has been supported by the Brown University Graduate Award in Brain Science, National Institutes of Health (grant number P41EB015922), and the Chan Zuckerberg Imaging Scientist Program through grant number 2020-225670 from the Chan Zuckerberg Initiative DAF, an advised fund of Silicon Valley Community Foundation.

Comments, criticism, and concerns are appreciated and can be directed to cabeen@gmail.com.