Search Results for "volume rendering"
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Showing 8 open source projects for "volume rendering"
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amilab is a tool for image processing that includes its own scripting language, and an interface for visualizing 2d/3d images and 3d surfaces. Its main application is medical image processing.
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SIVIC is an open-source, standards-based software framework and application suite for processing and visualization of DICOM MR Spectroscopy data. Through the use of DICOM, SIVIC aims to facilitate the application of MRS in medical imaging studies.
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This is a very simple OpenGL visualization library with a 3D and 4D volume renderer. It can easily be reused in other projects (e.g. with medical volumes). It is just perfect for learning or great if you like to hack your own code.
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3DimViewer
3DimViewer is a lightweight 3D viewer of medical DICOM datasets.
3DimViewer is a lightweight 3D viewer of medical DICOM datasets that is distributed as open source software. The viewer is multiplatform software written in C++ that runs on Windows, Mac OS X and Linux systems. 3DimViewer source codes are available on Bitbucket (https://bitbucket.org/3dimlab/3dimviewer). Video tutorials can be found on YouTube (https://www.youtube.com/playlist?list=PLCvwUmKRw9ZO4YexLKEXmw_2jPo-kXVRn). -
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vuVolume is a framework for volume rendering algorithms in C++. When creating a new rendering method in vuVolume it is possible to just concentrate on the actual algorithm and let the framework take care of the more administrative tasks.
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OpenVL is a framework for handling, processing & visualizing volumetric data (CT, MRI etc). It provides: powerful data access & layout API, plugins for volume processing tasks (image processing, segmentation etc), and support for multiple file-formats.
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High quality volume graphics on consumer PC hardware. This GPL project is a graphics application for the visualization of 3D volume data on uniform rectilinear grid, as they arise from tomographic measurement or numerical simulation in computational scie
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The Volume Browser is a graphical tool to navigate 3D Voxel Data. Additional features are: - Segmentation - Color Coding - 3D and 2D Browsing
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