Caret is a free, open-source, software package for structural and functional analyses of the cerebral and cerebellar cortex.
You can use the category filters given on the right sidebar to narrow down your search results.
V3D-Viewer is a DICOM and "Philips V3D 3DRA" Medical Volume Viewer based on .NET and the VTK library. With marching cubes, 3d planes and (3D texture) volume rendering, including histogram transparency and intensity curve selection tool.
Niftilib is a set of i/o libraries for reading and writing files in the nifti-1 data format. nifti-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images.
Niftilib currently has C, Java, MATLAB, and Python libraries; we plan to add some MATLAB/mex interfaces to the C library in the not too distant future.
.Net version of HAPI. Object oriented HL7 2.X parser. This was ported from the original HAPI by Bryan Tripp and University Health Network. HL7 parser/encoder written in Microsoft .Net C#. Can encode/decode both XML and Pi.
CTSim simulates the process of transmitting X-rays through phantom objects. These X-ray data are called projections. CTSim reconstructs the original phantom image from the projections using a variety of algorithms. Additionally, CTSim has a wide array of image analysis and image processing functions.
OMERO is client-server software for visualisation, management and analysis of biological microscope images.
From the microscope to publication, OMERO handles all your images in a secure central repository. You can view, organise, analyse and share your data from anywhere you have internet access. Work with your images from a desktop app (Windows, Mac or Linux), from the web or from 3rd party software.
Aeskulap is a medical image viewer.
The goal of OpenIGTLink is to provide a standardized mechanism to connect software/hardware through the network for image-guided therapy (IGT) applications. The features of OpenIGTLink include:
MassChroQ (Mass Chromatogram Quantification) software performs quantification of data obtained from mass-spectrometry techniques. It is particularly well suited for peptide quantification of LC-MS (Liquid Chromatography - Mass Spectrometry) data. It performs chromatographic alignment, XIC extraction, peak detection and quantification on identified peptides, with or without isotopic labeling, on high or low resolution data and it takes into account peptide or protein fractionation.
MeVisLab represents a platform for image processing research and development with a focus on medical imaging. It allows fast integration and testing of new algorithms and the development of application prototypes that can be used in clinical environments.