Search Results for "mri"

MIRT.jl is a collection of Julia functions for performing image reconstruction and solving related inverse problems. It is very much still under construction, although there are already enough tools to solve useful problems like compressed sensing MRI reconstruction. Trying the demos is a good way to get started. The documentation is even more still under construction.

PyVE is image analysis and Visualization Environment focused at clinical use. At the core of it there is a powerful viewer for displaying 3D datasets (MRI, PET, CT) based on VTK. It all comes precompiled allowing painless access to Python (2.x), the ITK toolkit for image analysis, numpy/scipy for numerical calculations, Qt and PyQt4 for the development Graphical User Interfaces. It is what you need for fast prototyping and development of more complex projects.

Vurtigo is a 4D (3D + time) real-time visualization software for guiding cardiovascular interventions. It is primarily intended for use with a magnetic resonance imaging (MRI) scanner, and also actively tracked catheters and navigational devices. The latest releases are not available on sourceforge; check out the vurtigo.ca link below for the most up-to-date version.

"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.

ImLib3D is a C++ library and visualisation system for 3D image processing. It contains most basic image processing algorithms, and some more sophisticated ones. ImLib3D images are STL-compliant templated containers. Keywords: Medical, MRI, Brain

Obsolete project - archived at https://github.com/darrenleeweber/bioelectromagnetism This is a public release of a Matlab toolbox for working with data from electroencephalography (EEG/ERP) and magnetic resonance imaging (MRI). It contains functions to process and visualize ERP/MRI data and associated electrode positions.

This project is focused on development of computational tools for the unfolding and visualization of medial temporal lobe structures based on high-resolution magnetic resonance imaging (MRI) images. Click on the Home Page link above for more information