Search Results for "medical"
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Showing 88 open source projects for "medical"
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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.
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Monte Carlo eXtreme (MCX)
Physically accurate and validated GPU ray-tracer
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. -
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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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ExpSuite is a software framework for applications to perform psychoacoustical experiments. ExpSuite allows acoustic and electric stimulation for normal hearing and cochlear implant listeners, respectively.
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Gait Analysis Graphical User Interface
Extracts gait parameters from 120 fps video of mouse walking
This project enables behavioral scoring of mouse gait using MATLAB. This was developed and used in the laboratory of Veronique VanderHorst, MD PhD at Beth Israel Deaconess/Harvard Medical School. First, a GUI displays videos of mice walking on a custom apparatus and enables the user to manually detect paw position. This data is saved. Additional functions take this spatiotemporal information and extract commonly used gait parameters, which are then exported to a MATLAB structure to be used... -
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Enhanced SAR Compression
VOP Algorithm with improved speed and compression
This work is described in: Orzada S, Fielder TM, Quick HH, Ladd ME, "A local SAR compression algorithm with improved compression, speed and flexibility", https://doi.org/10.1002/mrm.28739. This new algorithm is an iterative expansion of the exisisting local SAR compression algorithm for MRI proposed by Lee et al. ( https://doi.org/10.1002/mrm.23140) The number of VOPs is approximately halved with the new algorithm, while at the same time the compression time is reduced with... -
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KARDIA ("heart" in Greek) is a Matlab software with a graphic user interface designed for the analysis of cardiac interbeat interval data.
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ReViSP
ReViSP, a 3D volume rendering MATLAB tool for multicellular spheroids
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... -
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DDMaker
Local Distribution Density Map Maker
DDMaker perform local density analysis and generates pseudocolor maps of the spatial distribution of imaged cellular structures in 2D images, starting from either RGB color, grey level or binary images. DDMaker local density analysis permit to selectively denoise the signal, visualize and quantify its distribution and threshold the image basing on local density. -
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DICOV
MATLAB-based Dicom converter and viewer
DICOV (Dicom COnVerter) is a MATLAB-based tool for converting Dicom files into Analyze format with SPM orientation. Also, it supports simple Dicom viewer. As it utilizes some functions in SPM8, SPM8 should be installed and its path should be included to MATLAB path. A 64bit environment with more than 8GB RAM is required for DICOV (MAC OSX is recommended.). Dicom is unified medical image format, but there're some variability across the imaging systems. DICOV is optimized for the Dicom files... -
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VOP post-processing
Post-processing algorithms for SAR compression
Here we introduce to algorithms for post-processing of VOP sets. Algorithm 1 reduces the Overestimation for a given set of VOPs. Especially useful to reduce the overestimation in VOP sets calculated with the compression algorithms by Lee et al. and Orzada et al. Algorithm 2 tests a given set of VOPs for redundancy. It can be used to reduce the number of VOPs in a dataset produced by Eichfelder and Gebhardt's algorithm. Especially useful when you have a vendor provided VOP set only. -
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Relative Overestimation VOP
VOP compression for MRI with overestimation control
**** This work is outdated! For better compression and speed use these: ***** https://sourceforge.net/projects/enhanced-sar-compression/ Virtual Observation Points SAR compression. Contains multiple Algorithms: Compression according to Eichfelder et al. and Lee et al. The Lee algorithm is enhanced by including overestimation control to reduce maximum relative overestimation. All algorithms are implemented in Matlab and were optimized for enhanced speed. Needs Matlab R2016b at least.... -
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PsPM
A matlab suite for Psycho-Physiological Modelling
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... -
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CorThiZon
Cortical Thickness of brain by Zones
CorThiZon is a Matlab toolbox. MRI 3D T1 images are treated to estimate cortical thickness by zones in native and normalized space. It uses a Laplace-based technique following brain segmentation. Results can be easily reported in Excel files for further statistical analysis. If you use this toolbox, please reference: ‘Early diagnostic of Alzheimer’s disease using cortical thickness: impact of cognitive reserve', Querbes O, Aubry F, Pariente J, Lotterie JA, Démonet JF, Duret V, Puel M,... -
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Brain imaging software produced by the Brain Research Imaging Centre of The University of Edinburgh.
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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.
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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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MRiLab
A Numerical MRI Simulation Platform
... 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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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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Toastpp
Forward and inverse modelling in optical tomography
Toast++ is a C++ software package for modelling light transport in scattering media using the finite element method. It allows 3D reconstruction of absorption and scattering distributions inside an object from boundary measurements of light transmission, using steady state, time domain or frequency domain information. Matlab and Python bindings exist for ease of use and fast prototyping. -
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ARIA
Retinal vessel detection using MATLAB
NOTE: This project is now hosted at GitHub. Please follow the link below to visit its new home. -
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FieldTrip
The MATLAB software toolbox for MEG and EEG analysis
FieldTrip is the Matlab toolbox for EEG and MEG data. It includes algorithms for simple and advanced analysis, such as importing, preprocessing, time-frequency analysis, source reconstruction, statistical testing and connectivity analysis. -
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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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NBT is an open source Matlab toolbox for the computation and integration of neurophysiological biomarkers. NBT allows for easy implementation of new biomarkers, and incorporates an online wiki with extensive help and tutorials.