Open Source Linux Medical Physics Software
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Medical Physics Software for Linux
View 237 business solutionsBrowse free open source Medical Physics software and projects for Linux below. Use the toggles on the left to filter open source Medical Physics software by OS, license, language, programming language, and project status.
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medintux
Gestion de Cabinet Medical / Medical Patient Record
Since 2 months, new version will arrive in QT5, with better integration of multimedia document and multilanguage support. If you have some specificity in your country, tell us we can integrate it. Medintux est une suite logicielle pour la gestion du cabinet médical et des services hospitaliers. Agrément ROSP, Compatible HAS avec le Vidal ou Thériaque, CIM10, codage CCAM. Liaison Sesam Vitale, Hprim, Apicrypt, Sigems. 100% Paramétrable et personnalisable. Environnement : Fonctionne sous MAC, Linux, PC, Android et mode Web intégré dans un navigateur. Fonctionnalités : Comptabilité, Gestion du dossier patient, Gestion documentaire, Gestion des admissions et des salles d'attentes. Aide à la prescription.... Base de donnée : Gestion client serveur avec Mysql. Supporte des milliers de dossiers sans ralentissement. Une communauté active avec plusieurs centaines d'utilisateurs au quotidien. Medintux est un projet mature utilisable au quotidien -
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gVirtualXRay
Virtual X-Ray Imaging Library on GPU
gVirtualXRay is a C++ library to simulate X-ray imaging. It is based on the Beer-Lambert law to compute the absorption of light (i.e. photons) by 3D objects (here polygon meshes). It is implemented on the graphics processing unit (GPU) using the OpenGL Shading Language (GLSL). SimpleGVXR is a smaller library build on the top of gVirtualXRay. It provides wrappers to Python, R, Ruby, Tcl, C#, Java, and GNU Octave. -
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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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SMILI
Scientific Visualisation Made Easy
The Simple Medical Imaging Library Interface (SMILI), pronounced 'smilie', is an open-source, light-weight and easy-to-use medical imaging viewer and library for all major operating systems. The main sMILX application features for viewing n-D images, vector images, DICOMs, anonymizing, shape analysis and models/surfaces with easy drag and drop functions. It also features a number of standard processing algorithms for smoothing, thresholding, masking etc. images and models, both with graphical user interfaces and/or via the command-line. See our YouTube channel for tutorial videos via the homepage. The applications are all built out of a uniform user-interface framework that provides a very high level (Qt) interface to powerful image processing and scientific visualisation algorithms from the Insight Toolkit (ITK) and Visualisation Toolkit (VTK). The framework allows one to build stand-alone medical imaging applications quickly and easily. -
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KinetDS is a software for curve fitting particularly designed for kinetic (mechanistic and empirical) description of a substance dissolution from solid state. It was primarily designed for handling pharmaceutical dissolution tests
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DRAMMS
A Deformable Medical Image Registration Toolbox
DRAMMS is a software package designed for 2D-to-2D and 3D-to-3D deformable medical image registration tasks. Released by Section of Biomedical Image Analysis (SBIA) at the University of Pennsylvania. Some typical applications of DRAMMS include, -- Cross-subject registration of the same organ (can be brain, breast, cardiac, etc); -- Mono- and Multi-modality registration (MRI, CT, histology); -- Longitudinal registration (pediatric brain growth, cancer development, mouse brain development, etc); -- Registration under missing correspondences (e.g., vascular lesions, tumors, histological cuts). DRAMMS runs in command line in UNIX/Mac OS, It accepts Nifti/ANALYZE/MetaImage image formats. It is fully-automatic --- takes two input images, and generates a registered image and (optionally) the deformation field. More information (installation, tutorial, manual, demonstration, FAQ, etc) can be found at http://www.rad.upenn.edu/sbia/software/dramms/ . -
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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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PhysiCell
physics-based multicellular simulator
PhysiCell is a cross-platform C++ framework for large, physics-based multicellular simulations. -
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ismrmrd
ISMRM Raw Data File Format
We have moved to GitHub. web: http://gadgetron.github.io code: http://github.com/gadgetron/gadgetron discussion board: https://groups.google.com/forum/#!forum/ismrmrd -
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ImagingAnalysis
Direct tissue-level image quantification package for Mathematica
ImagingAnalysis is a Mathematica package that performs grid-based analysis of time-lapse imaging data saved in a sequence of TIFF files. This package requires Mathematica 7.0. Revised on 14 May 2017: Bugs are fixed and incompatibility issues are resolved. The current version runs on Mathematica 11. -
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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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Acoustic FDTD Solver (AC2D) -- is a software to simulate acoustic wave propagation in two dimensions based on the finite-difference time-domain (FDTD) method.
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PatientKAPRecords
KAP evaluation and patient records in radiodiagnostic
This program tries to help radiologists to keep track of patients which receive radiation doses (measured, or computed, free in air) from radiodiagnostic examinations. It performs computation of KAP (kerma-area-product if it is not recorded by a dedicated DAP-meter) and record the patient information. The program also generates elegant reports which can be converted as pdf, xls etc. Source code included in jar files. Also, available on GitHub: https://github.com/ZiliasTheSaint/PatientRxRecord.git -
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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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SpectrumGUI can generate filtered spectra for various x-ray tubes and can display attenuation coefficients for various materials. It also computes exposure and beam quality for various tube settings.
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This project is the implementation of The Virtual Collaborative Environment (VCE) which supports clinical applications of 3D modeling in medicine. The system is based on three layer client-server architecture.
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CT collimation measurements using CR plates. Please reference Bjarnason TA, Yang CY. CT radiation profile width measurement using CR raw data. Journal of Applied Clinical Medical Physics. 2015;16:501-507. Available from: http://www.jacmp.org/index.php/jacmp/article/view/5512
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cphcttoolbox
Cph CT Toolbox is a selection of Computed Tomography tools
Copenhagen Computed Tomography Toolbox is a collection of applications and libraries for flexible and efficient CT reconstruction. The toolbox apps generally take a set of projections (X-ray intensity measurements) and filter and back project them in order to recreate the image or volume that the projections represent. The project includes both mostly informative CPU implementations and highly efficient GPU implementations. Regular releases are hosted at the Python Package Index. -
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vision2
Binocular vision examination using shutter glasses
Vision2 serves as tool for ophthalmologists and other vision testing professionals. It's useful for a variety of ophthalmology testing applications related to stereo vision. It implements many of classical tests but also new types of vectographic and random dot exams. Program was created as part of diploma thesis in Wroclaw University of Technology in Poland. -
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Activity Prediction Software
To envision the radiation exposure in Neutron Activation Experiments
A software called Activity Predictor is developed using Java TM programming language. The Activity Predictor calculates activities, exposure rates and gamma spectra of activated samples for NAA experiments. The calculation procedure for predictions involve both analytical and Monte Carlo methods. The Activity Predictor software is validated by a series of activation experiments. It has been found that this software calculates the activities and exposure rates precisely. The software also predicts gamma spectrum for each measurement. The predicted spectra agreed partially with measured spectra. This software has a XML database which includes nuclear data for frequently used materials in NAA. Neutron Neutron cross section data from ‘‘ Tables for Neutron Activation Analysis’’ , photon cross section data from Berger and Hubbell’s XCOM photon cross sections database [ 2], and isotope decay from from Lund/LBNL database are included in this database. -
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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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Investigacion de diseño avanzado en biomecanica computacional con elementos finitos usando herramientas de software-libre.
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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.
