Search Results for "source code viewer"

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. ...

...It also compute patient doses using an external program based on the GEANT4 simulation toolkit. This program is found here: https://sourceforge.net/projects/doseinhumanbody/ Read the "README" file for details. Source code and documentation included. Also, available on GitHub: https://github.com/ZiliasTheSaint/RadQC.git Check out for dependent module!

...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

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.

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...

...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.

The openLBMflow is an fast fluid flow solver based on Lattice Boltzmann Method. Main future are 2D and 3D code, single and multiphase models, Output data in VTK format can be directly open in Paraview. Download Windows or Linux binary version now.