Search Results for "visualization toolkit"

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.

Ogles strives to provide an open source data model for neuroscientific data visualization and analytics. Ogles started out as a planning system for frame based stereotactic neurosurgery. Ogles(1) is discontinued. Release candidate (RC) is Ogles2b. Ogles is accompanied by a simple DICOM reader and NIfTI converting tool (Sdr2).

MITO Leap Motion Fork is a fork of the Medical Imaging TOolkit. It integrate the Leap SDK so that you can interact with the application using hand gestures.

This is a standalone, all in one Edge Detector that is mainly running on GPU using the CUDA technology. Each algorithm also has an OpenCV counterpart which is the closest one in terms of speed. This project is partly based on the Sobel Filter sample available as part of the CUDA SDK. This project also partly uses the OpenCV library to load different types of image. This program includes: Prewitt filter, Roberts Cross, Canny edge detector and finally Sobel filter with the ability to modify...

"MITO - Medical Imaging TOolkit" is an open-source, Windows-based software architecture for advanced Medical Imaging. Main characteristics are: DICOM compliant, 2D/3D/S3D visualization, image segmentation and fusion, ROI, advanced 3D user interface

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.

QuickDicom is an easy to use dicom medical imaging package for Mac OSX, providing QuickLook, Spotlight, Quartz Composer, Window/Level and a dicom file analyzer. Also included is the iiDicom Framework for image/dictionary usage in Objective C and Python.

This software system serves as both a DICOM image viewer as well as a diagramming tool for collaborating notes on the given image sets. This my Computer Science graduate thesis project at Loyola Marymount University.