MeVisLab MeVisLab is a development environment for medical image processing and visualization.
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development development environment environment medical image processing medical image visualization MeVisLab

MeVisLab Description

MeVisLab is a development environment for medical image processing and visualization. MeVisLab is a development environment for medical image processing and visualization. The research and prototyping platform MeVisLab has been developed and used by the MeVis Center for Medical Diagnostic Systems and Visualization in Bremen, Germany.MeVis develops scientific methods and software for computer assistance in medicine in general and radiology in particular, including computer aided diagnosis, therapy planning and monitoring, and computer aided teaching and training.One of the main goals of MeVis is to achieve practically useful solutions to clinically relevant problems, incorporating state of the art knowledge from the natural sciences, mathematics and computer science.Here are some key features of "MeVisLab":Image Processing Modules· More than 200 modules, including· Filters · Diffusion filters· Morphology filters· Kernel filters· Segmentation · Region growing· Live wire· Fuzzy connectedness· Threshold· Manual contours· Transformations · Affine transformations· Distance transformations· Radon transform· Manual registration· Statistics · Histograms· Global image statistics· Box counting dimension· Other · Unary/binary arithmetic· Resampling/reformatting· Dynamic data analysis· Noise/test pattern generatorsImage Processing Library· Request-driven, page-based image processing library· Priority-controlled page cache· Advanced support for:· Local filters· Kernel filters· Global filters· Special "Virtual Volume" support for global access to large images· Extended image information access:· DICOM coordinate system/voxel size· DICOM tags· Channel/time information· User defined objects interface· Optimization optionsWhat's New in This Release:· A new OutputInspector was added, which features data dependent viewers and is extensible for user data types.· Giga Voxel Render was improved, including slab rendering on SoView2D and transparent geometry rendering.· Updated and new Winged Edge Mesh (WEM) modules were added.· SoDepthPeelRenderer offers transparent geometry rendering of unsorted meshes.· Many new and improved modules were added.· Fixes were made for bugs that have been reported by users.· New versions of ITK and VTK integration were also released.

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