Search Results for "medical imaging"

gVirtualXRay is a C++ library to simulate X-ray imaging. It is based on the Beer-Lambert law to compute the absorption of light (i.e. photons) by 3D objects (here polygon meshes). It is implemented on the graphics processing unit (GPU) using the OpenGL Shading Language (GLSL). SimpleGVXR is a smaller library build on the top of gVirtualXRay. It provides wrappers to Python, R, Ruby, Tcl, C#, Java, and GNU Octave.

DICOM Confidential project develops an open source DICOM (Digital Imaging and Communications in Medicine) de-identification toolkit that provides the necessary flexibility to account for different de-identification requirements.

Eviewbox is a java imaging suite, its purpose is to view and spread native DICOM medical images and allowing for 2D reconstructions. EViewbox applet will allow to see the DICOM images on every platform.

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

Razor is a set of Java- and JOGL-based medical image tools which can be composed into a standalone application or integrated into other medical imaging applications. Via JOGL, Razor uses OpenGL to enhance and accelerate some medical imaging functions.

niftilib is a collection of i/o routines for the nifti1 neuroimage data format. C (nifticlib), Java (niftijlib), Matlab (niftimatlib), and Python (pynifti) code is available. For nifti format info see: http://nifti.nimh.nih.gov/

unGrid is an open source framework for distributed medical imaging. The system consists of a computing grid that harnesses idle CPU cycles from existing workstations, and a framework to execute jobs on that grid.

RGDicom is a Java viewer of medical images (DICOM - Digital Imaging and Communications in Medicine). It allows direct connection with the medical devices, therefore it implements DICOM 3.0 protocol and includes a lot util features, like edit the images.

Xebra is an open source, cross-platform, thin client and server for web-based distribution and clinical review of medical imaging results. Xebra is based on the latest open industry standards including JPEG2000, WADO and IHE XDS-I.

The goal of this project is to develop a content based search methodology and associated interfaces for medical imaging databases

The purpose of the project is to develop a quantitative medical imaging & visualization program for use on brain MR, DTI and MRS data. It is a joint project of the Kennedy Krieger Institute & the Johns Hopkins University, Psychiatric Neuroimaging Lab

This is a collection of different little tools written in MATLAB, JAVA, Python. They all have to to do with Imaging & Microscopy for life science research and related topics or problems. Some of them are meant to be used with ImageJ and MicroManager.

The VIA Imaging Application (VIA) is an open-source Diagnostic Imaging Viewer based on open standards such as IHE, JPEG 2000 and JPIP, and DICOM. VIA is written in Java and is composes of a series of client-server applications.