Open Source MATLAB Medical Software - Page 3

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.

Using the Mean Machine, even very large EEG data sets can be analyzed (artifact detection, evoked potentials, frequency analysis, ect.). It is a Matlab GUI application, which can also be run via the command line without GUI-support.

Matlab and Octave code to fit a mixture of Gaussians with covariance regularization to data using EM update rules.

Matlab based to control electrophysiology experiments in visual neuroscience.

A matlab model of the neonatal rat cardiac action potential

POLGUI is an interface between MATLAB and the Polhemus Fastrak digitizer used to digitize fiducial locations and scalp EEG electrode locations. There are 5 versions all of which work under MATLAB R14 (on both linux and windows platforms) (1) polgui_ver1_r14 : works with 1 receiver (stylus pen) (2) polgui_ver2_r14 : works with 2 receivers (including the pen) (3) polgui_ver3_r14 : works with 3 receivers(including the pen) (4) polgui_ver4_r14 : works with 4 receivers (including the pen) (5) polgui_ver5_r14 : Generic version which works with 1/2/3/4 receivers [WARNING: Ver 5 might be buggy; not fully tested]

PopED (Population Experimental Design) is a software tool for computing optimal experimental designs. The software has been developed with an emphasis on drug trials based on population models (non-linear mixed effects models).

Dieses Projekt versucht, aus den Oszillationskurven eines an einer schwingenden Plattform befestigten 3D-Beschleunigungssensors charakteristische Kennwerte zu ermitteln, um die posturale Gleichgewichtsleistung von Patienten quantitativ zu beurteilen.

PsPM is a powerful tool for psychophysiological modelling. It includes linear convolution models and non-linear models for SCR, and allows for modelling of other signals, too. A flexible import interface and many utilities make this software a standalone tool. IMPORTANT: As of 04.11.2019, the official code repository for PsPM has been moved to https://github.com/bachlab/PsPM . In order to check the latest releases, discussion and bug reports, please refer to our new repository. Although this website will maintained to provide further releases, there will be no active development on the SVN repository. Thank you for your understanding and for using PsPM.

Qu is a MATLAB toolbox for the visualization and analysis of N-dimensional datasets targeted to the field of biomedical imaging. It supports several microscopy image formats and offers a plugin mechanism and a consistent API for easy extension.

Reconstruction and Visualization from a Single Projection (ReViSP) tool: a 3D volume rendering method we developed to reconstruct the 3D shape of multicellular spheroids, besides estimating the volume by counting the voxels (3D pixels) fully included in the 3D surface. ReViSP is written in MATLAB (The MathWorks, Inc., Massachusetts, USA) and the source code is freely provided. Requirements for running ReViSP from the source code: MATLAB 2020a and Image Processing Toolbox 11.1 or later versions. Please, when using this software, cite these articles: (a) F. Piccinini, et al., Cancer multicellular spheroids: Volume assessment from a single 2D projection. Computer Methods and Programs in Biomedicine, 118(2):95–106, 2015. (b) F. Piccinini, et al., Single-image based methods used for non-invasive volume estimation of cancer spheroids: a practical assessing approach based on entry-level equipment. Computer Methods and Programs in Biomedicine, 135:51-60, 2016.

SCRalyze is a powerful tool for model-based analysis of psychophysiological signals, using linear convolution models and dynamic causal modelling. A flexible import interface and many utilities make this software a standalone tool. IMPORTANT: As of 04.11.2019, the official code repository for PsPM (formerly SCRalyze) has been moved to https://github.com/bachlab/PsPM . In order to check the latest releases, discussion and bug reports, please refer to our new repository. Although this website will maintained to provide further releases, there will be no active development on the SVN repository. Thank you for your understanding and for using PsPM.

Toolboxes for SPM (http://www.fil.ion.ucl.ac.uk/spm/) developed at Freiburg Brain Imaging (http://fbi.uniklinik-freiburg.de/)

The STIanafor is a tool for spatio-temporal data vizualization, analysis and forecast of incidence of sexually-transmitted diseases and drug resistance of pathogens in the Russian Federation. Currently supports gonorrhoea (N. gonorrhoeae) and syphilis (T. pallidum). A set of real data for testing is provided.

SpiNet is a neural simulation tool for large spiking networks with highly heterogeneous synapses. Neurons are modelled as I&F units with dual exponential synaptic conductances. Complex network models can be easily built using the included tool NetBuilder

SVMT: A MATLAB toolbox for Stereo-vision motion tracking of motor reactivity elicited by sensory stimulation.

The project has moved to a new location: http://research.spa.aalto.fi/projects/aparat/

MATLAB tools to create overlay images from NIfTI or ANALYZE files (neuroimaging format) and convert them to DICOM for use in the clinical environment. Allows radiologists and neurosurgeons easy access to fMRI data. http://paradime.net/research/

"Voxel Surface" is a MATLAB program that creates exact surfaces from 3-D voxel data such as from MRI and CT Scan. It replaces MATLAB isosurface, isocap and isonormals functions, which have several deficiencies. See README file and Gallery pictures.

Wisconsin White Matter Hyperintensity Segmentation [W2MHS] and Quantification Toolbox is an open source MatLab toolbox designed for detecting and quantifying White Matter Hyperintensities (WMH) in Alzheimer’s and aging related neurological disorders. WMHs arise as bright regions on T2- weighted FLAIR images. They reflect comorbid neural injury or cerebral vascular disease burden. Their precise detection is of interest in Alzheimer’s disease (AD) with regard to its prognosis. Our toolbox provides a self-sufficient set of tools for segmenting these WMHs reliably and further quantifying their burden for down-processing studies.

Inter University Multi-Modal Imaging

This toolkit allows complete control of a microscopy setup from Labview, Matlab, Scilab, Python, .Net, VB, IgorPro, Mathematica and more. Included is a standalone program for image acquisition and scripting control of a scientific microscope.

The dwi-toolbox provides a set of free and open-source Matlab routines for the simulation and analysis of Diffusion-Weighted Magnetic Resonance Imaging data. It includes data-fitting, simulation, visualization and statistical components.

A Matlab/GNU Octave package for dynamic box models with any number of species and compartments. Box models are useful to study the dynamics of chemicals within systems that can be described by different compartments (e.g. environmental systems).