OsiriX is an image processing software dedicated to DICOM images produced by medical equipment (such as MRI, CT, PET, and PET-CT) and confocal microscopy (LSM and BioRAD-PIC format). It can also read many other file formats: TIFF, JPEG, PDF, AVI, MPEG, and Quicktime. OsiriX is able to receive images transferred by DICOM communication protocol from any PACS or medical imaging modality. OsiriX has been specifically designed for navigation and visualization of multimodality and multidimensional images.
SNPfile is a library and API for manipulating large SNP data sets with associated meta-data, such as marker names, marker locations, individuals' phenotypes, etc. in an I/O efficient binary file format. In its core, SNPfile assumes very little about the metadata associated with markers and individuals, but leaves this up to application program protocols.
CGAL, the Computational Geometry Algorithms Library, is a large C++ library of geometric data structures and algorithms such as Delaunay triangulations, mesh generation, Boolean operations on polygons, and various geometry processing algorithms. CGAL is used in various areas: computer graphics, scientific visualization, computer aided design and modeling, geographic information systems, molecular biology, medical imaging, robotics and motion planning, and numerical methods.
Diffusion Tensor Imaging (DTI) is a magnetic resonance imaging method that can be used to measure local information about the structure of white matter pathways within the human brain. Combining DTI data with the computational methods of MR tractography, neuroscientists can estimate the locations and sizes of nerve bundles (white matter pathways) that course through the human brain. DTI-Query allows neuroscientists to place and interactively manipulate box-shaped regions (or volumes of interest) to selectively display pathways that pass through specc anatomical areas.
The National Library of Medicine Insight Segmentation and Registration Toolkit (ITK) is a software system to support the Visible Human Project. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with an MRI scan in order to combine the information contained in both.