PLEASE NOTE THESE PAGES ARE CURRENTLY UNDER CONSTRUCTION
The current and previous members of the BIC have written and released a large number of software packages, some of these releases date back to the late 1980′s. The most recognized of these is the MINC file format, toolbox and associated tools. Below is a list of MINC and other tools that are classified based on their function.
This toolkit contains most of the commonly used minc tools in one precompiled 64bit binary package of Debian, Ubuntu and Mac OS X. Also contains interactive tools like register and Display, and some advanced tools such as patch-based segmentation, denoising and brain masking. We suggest that you start here, but beware - this package is bleeding edge as of April 23, 2012.
The packages that fall under this category are non-interactive, and perform one algorithm or another on an input image in order to produce a modified output image. The four most commonly used tools here are image registration, non-uniformity correction, classification, and segmentation.
These tools (or this tool, as it stands right now) are designed to manipulate large data-sets, usually performing a sequence of operations on each image in the data-set. This is especially useful for clinical trials or large-scale studies.
Here you find everything (or at least a few things) related to performing statistical analysis on medical images, whether it be measuring atrophy using glim_image or rCBF using EMMA.
Interactive visualization tools help you interact with imaging data directly, manipulate slices, manually segment images, superimpose different imaging modalities such as PET and MRI, etc.
MINC is a Medical Imaging file format, Toolbox and (some would claim) way of life for use in medical imaging.
Corticometry Analysis Tools is an advanced image processing pipeline for cortical surface analysis developed at the ACE Lab.