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MeVisLab

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</style><table class="infobox vevent"><tbody><tr><th colspan="2" class="infobox-above summary">MeVisLab</th></tr><tr><td colspan="2" class="infobox-image logo"></td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;"><a href="Programmer" title="Programmer">Developer(s)</a></th><td class="infobox-data"><a href="https://de.wikipedia.org/wiki/MeVis_Medical_Solutions" class="extiw external" title="de:MeVis Medical Solutions">MeVis Medical Solutions AG</a>, <a rel="nofollow" class="external text" href="http://www.mevis.fraunhofer.de">Fraunhofer MEVIS</a></td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;">Initial release</th><td class="infobox-data">1993 (1993)</td></tr><tr style="display: none;"><td colspan="2" class="infobox-full-data"></td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;"><a href="Software_release_life_cycle" title="Software release life cycle">Stable release</a></th><td class="infobox-data"><div style="margin:0px;">3.5.0

/ June 1, 2022 (2022-06-01)</div></td></tr><tr style="display:none"><td colspan="2">

</td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;"><a href="Operating_system" title="Operating system">Operating system</a></th><td class="infobox-data"><a href="Cross-platform" class="mw-redirect" title="Cross-platform">Cross-platform</a><div><ul><li><a href="Windows" class="mw-redirect" title="Windows">Windows</a></li><li><a href="Mac_OS_X" class="mw-redirect" title="Mac OS X">Mac OS X</a></li><li><a href="Linux" title="Linux">Linux</a>)</li></ul></div></td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;"><a href="Software_categories#Categorization_approaches" title="Software categories">Type</a></th><td class="infobox-data"><style data-mw-deduplicate="TemplateStyles:r1126788409">

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</style><div class="plainlist"><ul><li><a href="Image_processing" class="mw-redirect" title="Image processing">Image processing</a></li><li><a href="Scientific_visualization" title="Scientific visualization">Scientific visualization</a></li><li><a href="Medical_imaging" title="Medical imaging">Medical imaging</a></li><li><a href="Volume_rendering" title="Volume rendering">Volume rendering</a></li></ul></div></td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;"><a href="Software_license" title="Software license">License</a></th><td class="infobox-data"><a href="Proprietary_software" title="Proprietary software">Proprietary</a></td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;">Website</th><td class="infobox-data"><a rel="nofollow" class="external text" href="https://www.mevislab.de/">www.mevislab.de</a></td></tr></tbody></table>

MeVisLab is a cross-platform <a href="Application_framework" title="Application framework">application framework</a> for <a href="Medical_image_processing" class="mw-redirect" title="Medical image processing">medical image processing</a> and <a href="Scientific_visualization" title="Scientific visualization">scientific visualization</a>. It includes advanced algorithms for <a href="Image_registration" title="Image registration">image registration</a>, <a href="Segmentation_(image_processing)" class="mw-redirect" title="Segmentation (image processing)">segmentation</a>, and quantitative morphological and functional image analysis. An <a href="Integrated_development_environment" title="Integrated development environment">IDE</a> for graphical programming and rapid user interface prototyping is available.

MeVisLab is written in <a href="C%2B%2B" title="C++">C++</a> and uses the <a href="Qt_(framework)" class="mw-redirect" title="Qt (framework)">Qt framework</a> for graphical user interfaces. It is available cross-platform on Windows, Linux, and Mac OS X. The software development is done in cooperation between <a href="https://de.wikipedia.org/wiki/MeVis_Medical_Solutions" class="extiw external" title="de:MeVis Medical Solutions">MeVis Medical Solutions AG</a> and Fraunhofer MEVIS.

A freeware version of the MeVislab SDK is available (see <a href="#Licensing">Licensing</a>). Open source modules are delivered as <a href="#MeVisLab_public_sources">MeVisLab Public Sources in the SDK</a> and available from the <a href="#MeVisLab_community_and_community_sources">MeVisLab Community and Community Sources project</a>.

<div class="mw-heading mw-heading2"><h2 id="History">History</h2></div>

MeVisLab development began in 1993 with the software ILAB1 of the CeVis Institute, written in C++. It allowed to interactively connect algorithms of the Image Vision Library (IL) on <a href="Silicon_Graphics" title="Silicon Graphics">Silicon Graphics (SGI)</a> to form image processing networks. In 1995, the newly founded MeVis Research GmbH (which became <a href="Fraunhofer_Society" title="Fraunhofer Society">Fraunhofer MEVIS</a> in 2009) took over the ILAB development and released ILAB2 and ILAB3. <a href="Open_Inventor" title="Open Inventor">OpenInventor</a> and <a href="Tcl" title="Tcl">Tcl</a> scripting was integrated but both programs were still running on SGI only.<a href="#cite_note-mevislabhistory-1">[1]</a>

In 2000, ILAB4 was released with the core rewritten in <a href="Objective-C" title="Objective-C">Objective-C</a> for Windows. For being able to move away from the SGI platform, the Image Vision Library was substituted by the platform-independent, inhouse-developed MeVis Image Processing Library (ML). In 2002, the code was adapted to work on the application framework Qt.<a href="#cite_note-mevislabhistory-1">[1]</a>

In 2004, the software was released under the name MeVisLab. It contained an improved IDE and was available on Windows and Linux.<a href="#cite_note-2">[2]</a> See the <a href="#Release_history">Release history</a> for details.

In 2007, MeVisLab has been acquired by <a href="https://de.wikipedia.org/wiki/MeVis_Medical_Solutions" class="extiw external" title="de:MeVis Medical Solutions">MeVis Medical Solutions AG</a>. Since then, MeVisLab has been continued as a collaborative project between the MeVis Medical Solutions and Fraunhofer MEVIS.

<div class="mw-heading mw-heading2"><h2 id="Features">Features</h2></div>

MeVisLab features include:<a href="#cite_note-3">[3]</a><a href="#cite_note-4">[4]</a><a href="#cite_note-5">[5]</a>

<ul><li>Image processing with the MeVis Image Processing Library (ML): The ML is a request-driven, page-based, modular, expandable C++ <a href="Image_processing" class="mw-redirect" title="Image processing">image processing</a> library supporting up to six image dimensions (x, y, z, color, time, user dimensions). It offers a priority-controlled page cache and high performance for large data sets.</li>

<li>2D image viewing: Fast, modular, extensible 2D viewers with combined <a href="2D_computer_graphics" title="2D computer graphics">2D</a>/<a href="3D_computer_graphics" title="3D computer graphics">3D</a> rendering are implemented, supporting slab rendering (volume rendering/<a href="Maximum_intensity_projection" title="Maximum intensity projection">MIP</a>), overlays, point/ROI selection, <a href="X-ray_computed_tomography" class="mw-redirect" title="X-ray computed tomography">Multiplanar Reformations (MPR)</a>, as well as interactive editing of marker objects (points, vectors, discs, spheres, etc.)</li>

<li>Volume rendering: A high-quality <a href="Volume_rendering" title="Volume rendering">volume renderer</a> (Giga Voxel Renderer, GVR) based on <a href="OpenGL" title="OpenGL">OpenGL</a>/<a href="Open_Inventor" title="Open Inventor">Open Inventor</a> is available.<a href="#cite_note-6">[6]</a> It supports large image volumes (e.g., 512x512x2000 <a href="X-ray_computed_tomography" class="mw-redirect" title="X-ray computed tomography">CT</a> volumes, 12bit), time-varying data (e.g. dynamic <a href="MRI" class="mw-redirect" title="MRI">MRI</a> volumes), <a href="Lookup_table" title="Lookup table">lookup tables</a>, interactive <a href="Region_of_interest" title="Region of interest">region of interest</a>, sub-volume selection, modular, multi-purpose <a href="GLSL" class="mw-redirect" title="GLSL">GLSL</a> <a href="Shader" title="Shader">shader</a> framework.<a href="#cite_note-7">[7]</a></li>

<li>DICOM and other file formats: <a href="Digital_Imaging_and_Communications_in_Medicine" class="mw-redirect" title="Digital Imaging and Communications in Medicine">DICOM</a> is supported via an import step that automatically recognizes series of 2D DICOM frames that belong to the same 3D/4D image volume. The data can be browsed with a configurable DICOM browser. DICOM storage to <a href="Picture_archiving_and_communication_system" title="Picture archiving and communication system">PACS</a> is possible. Other supported file formats include TIFF (2D/3D, RGBA), Analyze, RAW, PNG, JPG, BMP, and more.</li>

<li>Tool frameworks: Modular class and module libraries for markers, curves, <a href="Histogram" title="Histogram">histograms</a>, <a href="Winged_edge" title="Winged edge">Winged-Edged Meshes (WEM)</a> and Contour Segmentation Objects (CSO) are available.</li>

<li>Qt integration: <a href="Qt_(framework)" class="mw-redirect" title="Qt (framework)">Qt</a> is used as application framework. The Qt API is integrated via <a href="#PythonQt">PythonQt</a>, allow to access Qt Style Sheets, Qt Widgets, QT Core classes, etc. by scripting from within MeVisLab.</li>

<li>Scripting support: <a href="Python_(programming_language)" title="Python (programming language)">Python</a> can be used for script controlled access to a large part of the MeVisLab functionality. The script binding to Qt is implemented via <a href="#PythonQt">PythonQt</a>. For image processing via Python, <a href="NumPy" title="NumPy">NumPy</a> is available. Object-oriented Python programming in MeVisLab is possible.<a href="#cite_note-8">[8]</a></li>

<li>Integrated open source image processing and visualization libraries: Three open source libraries are integrated: <a href="Open_Inventor" title="Open Inventor">Open Inventor</a>, based on the original SGI source code released as open source in 2000;<a href="#cite_note-9">[9]</a> <a href="Insight_Segmentation_and_Registration_Toolkit" title="Insight Segmentation and Registration Toolkit">Insight Toolkit (ITK)</a>, made available as MeVisLab modules;<a href="#cite_note-10">[10]</a><a href="#cite_note-11">[11]</a><a href="#cite_note-12">[12]</a> <a href="VTK" title="VTK">Visualization Toolkit (VTK)</a>: made available as MeVisLab modules.<a href="#cite_note-13">[13]</a><a href="#cite_note-14">[14]</a></li>

<li>Comprehensive module library: The MeVisLab module library comprises a total of 2600 modules, including 800 standard modules and 1800 ITK/VTK modules.</li></ul>

<div class="mw-heading mw-heading2"><h2 id="MeVisLab_principles">MeVisLab principles</h2></div>

MeVisLab is a modular development framework. Based on modules, networks can be created and applications can be built.

To support the creation of image processing networks, MeVisLab offers an <a href="Integrated_Development_Environment" class="mw-redirect" title="Integrated Development Environment">IDE</a> that allows data-flow modelling by <a href="Visual_programming_language" title="Visual programming language">visual programming</a>. Important IDE features are the <a href="Multiple_document_interface" class="mw-redirect" title="Multiple document interface">multiple document interface (MDI)</a>, module and connection inspectors with docking ability, advanced search, scripting and debugging consoles, movie and screenshot generation and galleries, module testing and error handling support.<a href="#cite_note-15">[15]</a>

In the visual network editor, modules can be added and combined to set up data flow and parameter synchronization. The resulting networks can be modified dynamically by scripts at runtime. Macro modules can be created to encapsulate subnetworks of modules, scripting functionality and high-level algorithms.

On top of the networks, the medical application level with viewers and UI panels can be added. Panels are written in the MeVisLab Definition Language (MDL), can be scripted with Python or JavaScript and styled using MeVisLab-internal mechanisms or Qt features.

The development of own modules written in C++ or Python is supported by <a href="Wizard_(software)" title="Wizard (software)">wizards</a>.

<div class="mw-heading mw-heading2"><h2 id="Image_gallery">Image gallery</h2></div>

<div class="mw-heading mw-heading2"><h2 id="MeVisLab_forum">MeVisLab forum</h2></div>

MeVisLab offers a very well-supported public forum in which core developers as well as users of all levels of experience share information. A free registration is necessary.

<div class="mw-heading mw-heading2"><h2 id="Fields_of_application,_research_projects">Fields of application, research projects</h2></div>

MeVisLab has been used in a wide range of medical and clinical applications, including surgery planning<a href="#cite_note-16">[16]</a> for liver,<a href="#cite_note-17">[17]</a><a href="#cite_note-18">[18]</a><a href="#cite_note-19">[19]</a><a href="#cite_note-20">[20]</a> lung,<a href="#cite_note-21">[21]</a><a href="#cite_note-22">[22]</a> head<a href="#cite_note-23">[23]</a><a href="#cite_note-24">[24]</a> and neck and other body regions, analysis of dynamic, contrast enhanced breast<a href="#cite_note-25">[25]</a><a href="#cite_note-26">[26]</a> and Prostate MRI, quantitative analysis of neurologic<a href="#cite_note-27">[27]</a> and cardiovascular image series,<a href="#cite_note-28">[28]</a><a href="#cite_note-29">[29]</a> orthopedic quantification and visualization, tumor lesion volumetry<a href="#cite_note-30">[30]</a> and therapy monitoring,<a href="#cite_note-31">[31]</a> enhanced visualization of mammograms, 3D breast ultrasound and tomosynthesis image data, and many other applications. MeVisLab is also used as a training and teaching tool<a href="#cite_note-32">[32]</a><a href="#cite_note-33">[33]</a> for image processing (both general and medical<a href="#cite_note-34">[34]</a>) and visualization techniques.

MeVisLab is and has been used in many research projects, including:

<ul><li><a rel="nofollow" class="external text" href="https://web.archive.org/web/20010301210001/http://www.vicora.de/">VICORA</a> VICORA Virtuelles Institut für Computerunterstützung in der klinischen Radiologie (2004–2006)</li>

<li><a rel="nofollow" class="external text" href="http://www.hamam-project.eu/cms/website.php">HAMAM</a> <a rel="nofollow" class="external text" href="https://web.archive.org/web/20110720162709/http://www.hamam-project.eu/cms/website.php">Archived</a> July 20, 2011, at the <a href="Wayback_Machine" title="Wayback Machine">Wayback Machine</a></li></ul>

Based on MeVisLab, the MedicalExplorationToolkit was developed to improve application development.<a href="#cite_note-35">[35]</a> It is available as AddOn package for MeVisLab 1.5.2. and 1.6 on Windows.

MeVisLab can also be used to generate surface models of biomedical images and to export them in <a href="Universal_3D" title="Universal 3D">Universal 3D</a> format for embedding in <a href="PDF" title="PDF">PDF</a> files.<a href="#cite_note-36">[36]</a>

<div class="mw-heading mw-heading2"><h2 id="Licensing">Licensing</h2></div>

The MeVisLab SDK can be downloaded at no cost and without prior registration. The software can be used under three different license models:<a href="#cite_note-mevislablicensing-37">[37]</a>

<ul><li>MeVisLab SDK Unregistered: This license model applies if the MeVisLab SDK is used without an additional license file. Under this license, a restricted feature set is available. The terms of use are identical to those of the Non-commercial MeVisLab SDK (see below).</li>

<li>Non-commercial MeVisLab SDK license: For strictly private use or for use at non-commercial institutions, such as universities, other academic institutions or non-profit organizations. Full feature set, requires a separate license file with costs.</li>

<li>Commercial MeVisLab SDK license: For use at commercial companies, institutions or research laboratories. Full feature set, requires a separate license file with costs.</li></ul>

None of the above license models permits the redistribution of the MeVisLab SDK or parts thereof, or using MeVisLab or parts thereof as part of a commercial service or product.

The Fraunhofer MEVIS Release Modules are intellectual property of Fraunhofer MEVIS and strictly for non-commercial purposes.<a href="#cite_note-mevislablicensing-37">[37]</a>

<div class="mw-heading mw-heading2"><h2 id="Related_open_source_projects">Related open source projects</h2></div>

<div class="mw-heading mw-heading3"><h3 id="MeVisLab_public_sources">MeVisLab public sources</h3></div>

Selected MeVisLab modules are open source under a BSD license. These sources are part of the MeVisLab SDK installer.

<div class="mw-heading mw-heading3"><h3 id="MeVisLab_community_and_community_sources">MeVisLab community and community sources</h3></div>

In the MeVisLab Community Project, open-source modules for MeVisLab are contributed by a number of institutions. Contributors as of 2010 are:

<ul><li><a href="Erasmus_University_Rotterdam" title="Erasmus University Rotterdam">Erasmus University Rotterdam, NL</a></li>

<li>Medical Imaging Research Center, Katholieke Universiteit Leuven, BE</li>

<li>Division of Image Processing (LKEB), Leiden University Medical Center, NL</li>

<li>Computer Vision Laboratory, <a href="ETH_Zurich" title="ETH Zurich">ETH Zurich, CH</a></li>

<li>Institut für Simulation und Graphik, Universität Magdeburg, DE</li>

<li>Center for Medical Image Science and Visualization (CMIV), University of Linköping, SE]</li>

<li>MeVis Medical Solutions AG</li>

<li>Fraunhofer MEVIS</li></ul>

The source code is released under BSD or LGPL license and managed in a central repository on SourceForge. Continuous builds are offered for various platforms.

<div class="mw-heading mw-heading3"><h3 id="PythonQt">PythonQt</h3></div>

PythonQt is a Python <a href="Qt_(framework)" class="mw-redirect" title="Qt (framework)">script binding for the Qt framework</a>. It was originally written to make MeVisLab scriptable and then published as open source in 2007 under <a href="LGPL" class="mw-redirect" title="LGPL">LGPL</a>. An introduction of PythonQt was published in Qt Quarterly, which also includes a comparison to <a href="Pyqt" class="mw-redirect" title="Pyqt">Pyqt</a>.

PythonQt sources and documentation are available from SourceForge.

<div class="mw-heading mw-heading2"><h2 id="Similar_software_projects">Similar software projects</h2></div>

<ul><li><a href="3DSlicer" class="mw-redirect" title="3DSlicer">Slicer (3DSlicer)</a>, an open source, multi-platform project for image analysis and scientific visualization; originally developed by the Surgical Planning Laboratory at the Brigham and Women's Hospital and the MIT Artificial Intelligence Laboratory</li>

<li>SCIRun is an open source, multi-platform scientific <a href="Problem_solving_environment" title="Problem solving environment">problem solving environment</a> (PSE) for modeling, simulation and visualization of scientific problems, developed at the Center for Integrative Biomedical Computing at the <a href="Scientific_Computing_and_Imaging_Institute" title="Scientific Computing and Imaging Institute">Scientific Computing and Imaging Institute</a> at the <a href="University_of_Utah" title="University of Utah">University of Utah</a></li>

<li><a href="https://de.wikipedia.org/wiki/MITK" class="extiw external" title="de:MITK">MITK</a>, the Medical Imaging Interaction Toolkit is an open source project for developing interactive medical image processing software, developed at the <a rel="nofollow" class="external text" href="http://www.dkfz.de/en/index.html">Deutsche Krebsforschungszentrum, Heidelberg</a></li>

<li><a href="Voreen" title="Voreen">Voreen</a>, an open source, multi-platform volume rendering engine, maintained by the Visualization and Computer Graphics Research Group (VisCG) at the <a href="University_of_M%C3%BCnster" title="University of Münster">University of Münster</a></li>

<li><a rel="nofollow" class="external text" href="http://graphics.tudelft.nl/Projects/DeVIDE">DeVIDE</a>, an open source, multi-platform software for rapid prototyping, testing and deployment of visualisation and image processing algorithms, developed by the Visualisation group at the TU Delft.</li>

<li><a href="Amira_(Software)" class="mw-redirect" title="Amira (Software)">Amira</a>, a commercial multi-platform software for visualization, analysis and manipulation of bio-medical data</li>

<li><a href="Studierfenster" title="Studierfenster">Studierfenster (StudierFenster)</a>, a free, non-commercial Open Science client/server-based Medical Imaging Processing (MIP) online framework</li></ul>

<ul><li><a href="Scientific_visualization" title="Scientific visualization">Scientific visualization</a></li>

<li><a href="Graphical_programming" class="mw-redirect" title="Graphical programming">Graphical programming</a></li>

<li><a href="Medical_imaging" title="Medical imaging">Medical imaging</a></li></ul>

<div class="mw-heading mw-heading2"><h2 id="References">References</h2></div>

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</style><cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://www.mevislab.de/mevislab/history/">"MeVisLab History"</a>. Mevislab.de. Retrieved January 21, 2012.</cite>

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<li id="cite_note-2"><a href="#cite_ref-2">^</a> <cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://web.archive.org/web/20120314221521/http://www.mevislab.de/index.php?id=17&backPID=17&begin_at=20&tt_news=5">"MeVisLab 1.0 Release News"</a>. Mevislab.de. Archived from <a rel="nofollow" class="external text" href="http://www.mevislab.de/index.php?id=17&backPID=17&begin_at=20&tt_news=5">the original</a> on March 14, 2012. Retrieved January 21, 2012.</cite>

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<li id="cite_note-mevislablicensing-37">^ <a href="#cite_ref-mevislablicensing_37-0">a</a> <a href="#cite_ref-mevislablicensing_37-1">b</a> <cite class="citation web cs1"><a rel="nofollow" class="external text" href="http://www.mevislab.de/mevislab/versions-and-licensing/">"MeVisLab Versions and Licensing"</a>. Mevislab.de. Retrieved January 21, 2012.</cite>

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</ol></div>

<div class="mw-heading mw-heading2"><h2 id="Further_reading">Further reading</h2></div>

<ul><li><a rel="nofollow" class="external text" href="https://www.mevislab.de/mevislab/publications/">MeVisLab Publications</a></li>

<li><a rel="nofollow" class="external text" href="https://ieeexplore.ieee.org/document/6088923/;jsessionid=9357027DED90F863CC4DC2D4A5B5F011?arnumber=6088923">Medical Image Analysis: A Visual Approach</a></li>

<li><a rel="nofollow" class="external text" href="http://subs.emis.de/LNI/Proceedings/Proceedings154/gi-proc-154-92.pdf">Object-oriented application development with MeVisLab and Python</a></li></ul>

<div class="mw-heading mw-heading2"><h2 id="External_links">External links</h2></div>

<ul><li><a rel="nofollow" class="external text" href="https://www.mevislab.de/">MeVisLab Home Page</a></li>

<li><a rel="nofollow" class="external text" href="https://github.com/MeVisLab/">MeVisLab Community Sources</a></li>

<li><a rel="nofollow" class="external text" href="https://web.archive.org/web/20130730010757/http://forum.mevis.fraunhofer.de">MeVisLab Support Forum</a></li>

<li><a rel="nofollow" class="external text" href="https://www.mevis.de/">MeVis Medical Solutions AG</a></li>

<li><a rel="nofollow" class="external text" href="http://www.mevis.fraunhofer.de/">Fraunhofer MEVIS</a></li></ul></div><div><div class="zim-footer">

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