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Citations per year

Number of citations per year for the bioinformatics software tool MITK

Tool usage distribution map

This map represents all the scientific publications referring to MITK per scientific context
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MITK specifications


Unique identifier OMICS_17375
Alternative name Medical Imaging Toolkit
Software type Toolkit/Suite
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C++
License BSD 3-clause “New” or “Revised” License
Computer skills Advanced
Stability Stable
Maintained Yes


  • MITK-ModelFit




No version available


  • person_outline Ivo Wolf

Additional information

Publications for Medical Imaging Toolkit

MITK citations


Impact of 18F FET PET on Target Volume Definition and Tumor Progression of Recurrent High Grade Glioma Treated with Carbon Ion Radiotherapy

Sci Rep
PMCID: 5940831
PMID: 29740097
DOI: 10.1038/s41598-018-25350-7

[…] idered in the present study, which might impact tumor progression pattern analysis. Further studies including irradiation dose distribution should be conducted, which will become available within the MITK framework for implementations of biological particle therapy dose models. Our data clearly suggest the use of 18F-FET PET as prognosticator for carbon ion treatment of grade IV glioma. Combinatio […]


NiftyNet: a deep learning platform for medical imaging

Comput Methods Programs Biomed
PMCID: 5869052
PMID: 29544777
DOI: 10.1016/j.cmpb.2018.01.025

[…] and Freesurfer , for structural neuroimaging have reached widespread use. More general toolkits offering standardized implementations of algorithms (VTK and ITK ) and application frameworks (NifTK , MITK and 3D Slicer ) enable others to build their own pipelines. Common software infrastructure has supported and accelerated medical image analysis and computer-assisted intervention research across […]


PRISM: An open source framework for the interactive design of GPU volume rendering shaders

PLoS One
PMCID: 5849289
PMID: 29534069
DOI: 10.1371/journal.pone.0193636

[…] work is implemented as a set of classes for the Visualization Toolkit (VTK), which is already used as the rendering backend of a majority of open source medical imaging programs such as 3D Slicer[,], MITK[,], ITKSnap[,], CustusX[,] and IBIS Neuronav[,]. The framework can thus easily be integrated in all these platforms already in use in many clinical research facilities to enable rapid prototyping […]


RFA Guardian: Comprehensive Simulation of Radiofrequency Ablation Treatment of Liver Tumors

Sci Rep
PMCID: 5768804
PMID: 29335429
DOI: 10.1038/s41598-017-18899-2

[…] All previously mentioned algorithms were implemented in C++, exploiting the open source MITK framework, which provides basic functionalities for medical workstations. The single modules rely on VTK ( for visualization tasks, while all image processing algorithms have b […]


Intra voxel incoherent motion MRI of the living human foetus: technique and test–retest repeatability

PMCID: 5909359
PMID: 29708192
DOI: 10.1186/s41747-017-0031-4

[…] ocessing IVIM data, averaged images for low b-factors (b < 250 s/mm2) and high b-factors (500–900 s/mm2) were generated. Using the manual segmentation tool in the medical imaging interaction toolkit (MITK) [], volumes of interest (VOIs) were placed over the central part of the placenta, on the foetal liver, lung parenchyma excluding the hili, kidneys bilaterally, cerebellum and brainstem, frontal […]


Visualization of 4D multimodal imaging data and its applications in radiotherapy planning

PMCID: 5689910
PMID: 29082656
DOI: 10.1002/acm2.12209

[…] erature and extensions for multivolume visualization, for instance, have not found their way into the framework yet. Research platforms, such as 3D Slicer and the Medical Imaging Interaction Toolkit (MITK) which are tailored to medical applications often use VTK as basis for the visualization. They offer solutions to more specific clinical applications or workflows, but they also target data proce […]

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MITK institution(s)
Deutsches Krebsforschungszentrum (DKFZ), Div. Medical and Biological Informatics, Heidelberg, Germany
MITK funding source(s)
This work was supported by the Deutsche Forschungsgemeinschaft (DFG) and by the Tumorzentrum Heidelberg/Mannheim.

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