Open Source Linux Medical Software
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Medical Software for Linux
View 270 business solutionsBrowse free open source Medical software and projects for Linux below. Use the toggles on the left to filter open source Medical software by OS, license, language, programming language, and project status.
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Iso2Mesh - A 3D Mesh Generation Toolbox
A 3D surface and volumetric mesh generator for MATLAB/Octave
A simple yet powerful mesh generator based on MATLAB/GNU Octave language, creating finite-element mesh from surfaces or arbitrary 3D volumetric images (such as MRI/CT scans) with fully automatic workflows. -
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MRiLab
A Numerical MRI Simulation Platform
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 -
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plastimatch
Volumetric image processing software
Plastimatch is an open source software for image computation. Our main focus is high-performance volumetric registration of medical images, such as X-ray computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET). -
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SimPET
A web platform for the MC simulation of realistic brain PET data
SimPET (http://www.sim-pet.org) is an open, efficient, and user‐friendly online platform for the generation of synthetic brain PET datasets. The platform offers the ability to generate realistic activity and attenuation maps from patient's PET/CT and MRI images. These maps can then be simulated, and sinograms and simulated images can be downloaded. More advanced features can be obtained by using the SimPET scripts: https://github.com/txusser/brainviset_simset https://github.com/txusser/simpet (New version pre-alpha) You can also upload your own phantoms to simulate. Currently the platform incorporates MC models for the GE Advance, GE Discovery ST and Siemens mCT. More models are on the way. You can also access all the previously simulated datasets from the dev team to test your quantification pipeline (Files section in this page). This project is an open collaboration between IDIS (www.idisantiago.es), Qubiotech (www.qubiotech.es), and FGUMA (www.fguma.es). -
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MatrixUser
A Multi-functional GUI-based Program for Image Processing and Analysis
The MatrixUser project is moving to GitHub, the latest version can be obtained from https://leoliuf.github.io/MatrixUser/ Most of the medical images (e.g. CT, MRI, PET, etc.) comprises multiple frames which represent slices, phases, timing etc. from the same imaging object. Those images can be saved as multidimensional matrices in Matlab thanks to Matlab's powerful support of multidimensional data representation. However, within Matlab, most of image manipulation functions are limited or tailored for processing two-dimensional matrix. The MatrixUser is a software package which features functions designed and optimized specifically for manipulating multidimensional real or complex data matrix. MatrixUser provides a nice graphical environment for easily performing image analysis tasks including multidimensional image display, matrix (image stack) processing and rendering etc. MatrixUser is a great lightweight tool for users who are working in image processing field under Matlab. -
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AnalyzeNNLS
MRI Multiple Echo T2 Analysis
Users load multiecho MRI data and draw ROIs. AnalyzeNNLS creates a T2 distribution from the averaged decay data. Regional fractions and geometric T2 times can be determined. Please reference: Bjarnason TA, Mitchell JR. JMR 206:200-4 (2010). Temporal Phase Correction included in version 2.5. If you use this functionality, please reference: Bjarnason TA, Laule C, Bluman J, Kozlowski P. JMR 232:22-31 (2013). -
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CUDA-SPHERE-FWD-MEEG
CUDA accelerated spherical model forward solution for EEG/MEG
CUDA-SPHERE-FWD-MEEG is a CUDA C based toolkit which provides a GPU based implementation of the spherical model forward solution for the 306 channel Elekta Neuromag MEG system and the EEG. The 1-Sphere forward solution for the MEG and the 4-Sphere forward solution for the EEG is implemented in CUDA C and an accelerated solution is obtained using the NVIDIA GPU when the solution is calculated for a large number of dipoles (on the order of 15000 and above) and sensor locations. Speedup by a factor of 22 and 32 is obtained for the EEG and MEG solution respectively when compared to the fastest CPU implementation available in the public domain. The complete source code and pre-compiled binaries are also made available via an open source license (GPL Version 3). A CUDA enabled NVIDIA graphics card is required to use the software. -
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Fekke's BMI calculator
C# BMI Calculator with wizzard.
An application written in C#, which will assist you in calculating your Body Mass Index. -
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Gadgetron
Medical Image Reconstruction Framework
Medical Image Reconstruction Framework -
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MRI-PDQ:Phase Detection & Quantification
Detect sphere-shaped paramagnetic deposits in MRI datasets
Moved to http://parkermills.github.io/MRI-PDQ/ -
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MRI-PSM: Phase Slope Magnitude Imaging
Generate positive-contrast images emphasizing magnetic field variation
Moved to: http://parkermills.github.io/MRI-PSM/ -
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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.
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Orthanc
Lightweight, RESTful DICOM server for healthcare and medical research
[2015-06-12] Orthanc has left SourceForge. All the downloads are now available directly from our official Website: http://www.orthanc-server.com/browse.php -
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RTToolbox
Library to support quantitative analysis of radiotherapy data
Moved to: http://github.com/MIC-DKFZ/RTTB RTToolbox is a software library, developed at the DKFZ to support quantitative analysis of treatment outcome for radiotherapy. The RTToolbox was designed following object-oriented design principles and was implemented in the language C++. It supports the import of radiotherapy data (e.g. dose distributions and structure sets) from DICOM-RT format and other standard image processing formats by using a bridge to ITK. The RTToolbox supports the full range of radiotherapy evaluation. Tools such as DVH calculation, arithmetic operations on dose distributions and structure relationship analysis are provided as a basis for further calculations. Dose comparison indices such as Conformity Index (CI), Homogeneity Index (HI) and Conformation Number (CN), and biological models including TCP, NTCP, EUD and BED are determined from dose distributions and DVHs. The RTToolbox can be easily extended to support other data format, comparison indices and
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