Open Source C Medical Software

A programmable audio generator intended as an aural aid to meditation, implementing the binaural beat principle as described in Gerald Oster's Oct. 1973 Scientific American article "Auditory Beats in the Brain."

BioSig is a software library for processing of biomedical signals (EEG, ECG, etc.) with Matlab, Octave, C/C++ and Python. About 50 different data formats are supported.

Amide's a Medical Image Data Examiner: Amide is a tool for viewing, registering, and analyzing anatomical and functional volumetric medical imaging data sets.

MCX is a GPU-accelerated, general-purpose, physically-accurate and feature-rich 3-D light transport simulator. It is one of the fastest simulators because it can use tens of thousands of GPU threads to simulate photons in parallel.

A Sequenced Binaural Wave Generator for Linux+Windows. May be used to generate sounds that entrain the brain's waves to oscillate at selected frequencies to aid in relaxation, lucid dreaming, meditation, clear thought, out-of-body experiences + more

The MRiLab project is moving to GitHub, the latest version can be obtained from https://leoliuf.github.io/MRiLab/ The MRiLab is a numerical MRI simulation package. It has been developed and optimized to simulate MR signal formation, k-space acquisition and MR image reconstruction. MRiLab provides several dedicated toolboxes to analyze RF pulse, design MR sequence, configure multiple transmitting and receiving coils, investigate magnetic field related properties and evaluate real-time imaging technique. The main MRiLab simulation platform combined with those toolboxes can be applied to customize various virtual MR experiments which can serve as a prior stage for prototyping and testing new MR technique and application. If you find MRiLab useful for your work, please cite this paper: Fast Realistic MRI Simulations Based on Generalized Multi-Pool Exchange Tissue Model. IEEE Transactions on Medical Imaging. 2016. doi: 10.1109/TMI.2016.2620961

a medical image conversion utility & library; hereby hoping to lower at least one barrier in medical research projects.

Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout (MAGeCK) is a computational tool to identify important genes from the recent genome-scale CRISPR-Cas9 knockout screens technology. For instructions and documentations, please refer to the wiki page. MAGeCK is developed by Wei Li and Han Xu from Dr. Xiaole Shirley Liu's lab at Dana-Farber Cancer Institute/Harvard School of Public Health, and is maintained by Wei Li lab at Children's National Medical Center. We thank the support from Claudia Adams Barr Program in Innovative Basic Cancer Research and NIH/NHGRI to develop MAGeCK.

This software provides libraries and command line tools for the processing and analysis of gray scale medical images.

Working hardware has been built and is in a late beta stage. Software is also available.

niftilib is a collection of i/o routines for the nifti1 neuroimage data format. C (nifticlib), Java (niftijlib), Matlab (niftimatlib), and Python (pynifti) code is available. For nifti format info see: http://nifti.nimh.nih.gov/

This project, developed at UCL London, provides code for tomographic reconstruction. NiftyRec is written in C and has Python and Matlab extensions. Computationally intensive functions have a GPU accelerated version based on CUDA.

NEW V3 version with RTC and buzzer (require V3+ ECG Logger Viewer application) The ECG Logger project is a Wearable Cardio Monitor for Long-Term (up to 24h) ECG Data Acquisition and Analysis (aka Holter) with an ECG live (real-time) mode. This project provides a very low-cost open-source "Hardware and Software" for a Cardiac Rhythmic Holter. The hardware has been made very simple and is based on an Arduino Nano micro-controller with boards for SD card mass-storage, instrumentation differential amplifier and RTC. It can help monitoring arrhythmia syndromes such as bradycardia, tachycardia, extra-systoles, pause or flutter. WARNING: In no case it can be use to replace a professional medical examination. Device MUST NOT BE CONNECTED to appliance powered by mains - risk of electrical shocks ************************************************************************************** see also: ECG Logger Viewer application : https://sourceforge.net/projects/ecg-logger-viewer/

This project, initially developed at University College London, contains programs to perform rigid, affine and non-linear registration of nifti or analyse images. Two versions of the algorithms are included, a CPU- and a GPU- (using CUDA) based implementation.

Stochastic simulator for signaling pathways occuring in biological cells. Handles reaction-diffusion processes in 3D tetrahedral meshes. Please check our new repository: https://github.com/CNS-OIST/STEPS

This is a sophisticated & integrated simulation and analysis environment for dynamical systems models of physical systems (ODEs, DAEs, maps, and hybrid systems). It supports symbolic math, optimization, continuation, data analysis, biological apps...

The project has moved to GitHub: https://github.com/pixmeo/osirix

iRad is a DICOM workstation written in Cocoa for MacOSX. Using QuickTime, OpenGL, and open source databases iRad aims to provide an easy and efficient way to review medical images from CT, MRI, ultrasound, and other DICOM sources such as angiography a

The OpenCMISS-Zinc Library (opencmiss.org/zinc), or Zinc, is a software library for building interactive graphical modelling and visualisation applications. Models are represented in Zinc as mathematical fields defined over domains, including finite elements with support for high-order basis functions, complex parameter mappings and time variation, and image-based fields. Further fields can be defined by mathematical expressions and algorithms on existing fields, including image processing filters. Zinc model data structures are dynamic, supporting interactive applications which programmatically create, destroy and modify parts of models.

The Tomographic Image Reconstruction Interface of the Universite de Sherbrooke (TIRIUS) is a Qt-based user-interface software for reconstructing 3D images from data generated by real apparatus or generated by the GATE Monte Carlo simulator.

Using the CUDA API this project modifies the AutoDock software to run in parallel on NVIDIA GPUs. Users will be able to download and compile the code and use AutoDock on CUDA capable Graphics Cards. Autodock is located at http://autodock.scripps.edu/

BioEra is DSP visual designer that can be used to create interfaces between human being and a machine with using bio signals like EEG, QEEG, HEG, EMG, ECG, GSR, EOG, visual/sound entrainment and others.

This is a standalone, all in one Edge Detector that is mainly running on GPU using the CUDA technology. Each algorithm also has an OpenCV counterpart which is the closest one in terms of speed. This project is partly based on the Sobel Filter sample available as part of the CUDA SDK. This project also partly uses the OpenCV library to load different types of image. This program includes: Prewitt filter, Roberts Cross, Canny edge detector and finally Sobel filter with the ability to modify some variables such as sigma in Canny and see the result in real-time. To access and download the code, please review the code section. (The code section is currently close until our article gets published) Commiting publicly to the project is currently closed but feel free to email us. The source code is dependant on CUDA 5.0 Samples now available as part of the CUDA Toolkit. "This software contains source code provided by NVIDIA Corporation."

This is the MIR implementation of DICOM services that was started by MIR and the RSNA in 1992.

Software development in support of restoring MNG/JNG support to Mozilla, and hosting of MNG/JNG-supporting executable versions of Mozilla and Mozilla-Firebird.