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MITK-DI specifications


Unique identifier OMICS_28022
Alternative name MITK Diffusion
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Windows
Programming languages C++
License BSD 3-clause “New” or “Revised” License
Computer skills Advanced
Version 2017.07
Stability Stable
Source code URL
Maintained Yes




No version available


  • person_outline Klaus Fritzsche

Additional information

Publication for MITK Diffusion


MITK diffusion imaging.

2012 Methods Inf Med
PMID: 23038239
DOI: 10.3414/ME11-02-0031

MITK-DI citations


Changes in the microarchitecture of the pancreatic cancer stroma are linked to neutrophil dependent reprogramming of stellate cells and reflected by diffusion weighted magnetic resonance imaging

PMCID: 5743457
PMID: 29290790
DOI: 10.7150/thno.21089

[…] motion artifacts, the acquisition was separated into blocks (b0, b50), (b0, b100), … , (b0, b800), and each block was acquired in a single breath-hold (TA = 22 s).Post processing was performed using MITK Diffusion software (Medical Imaging Interaction Toolkit, Version 2014.10.02, DKFZ, Heidelberg, Germany; . To overcome the limitation of the monoexponential diffusion model and the A […]


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

[…] than 250 s/mm2 to estimate the parameter d using a mono-exponential term. Then, f and D* were estimated keeping d fixed at the previously fitted value. The IVIM model fitting was carried out with the MITK diffusion toolkit. […]


Comparison of Intravoxel Incoherent Motion Diffusion Weighted Magnetic Resonance (MR) Imaging to T1 Mapping in Characterization of Hepatic Alveolar Echinococcosis

PMCID: 5745893
PMID: 29259149
DOI: 10.12659/MSM.903929

[…] . We acquired 10 different b values (0, 50, 100, 150, 200, 250, 300, 500, 750 and 1,000 sec/mm2). Post-processing of the obtained DWI data were performed by using Medical Imaging Interaction Toolkit (MITK) diffusion software to acquire IVIM parameters of D, D*, and f. The echo attenuation in a single voxel could be written according to the following equation by Le Bihan et al. []:where S(TE)1 is t […]


The challenge of mapping the human connectome based on diffusion tractography

Nat Commun
PMCID: 5677006
PMID: 29116093
DOI: 10.1038/s41467-017-01285-x

[…] gh quality–. Detailed information regarding the employed imaging protocols as well as the data sets themselves may be found on fiber tractography was performed using MITK Diffusion with the following parameters: 900,000,000 iterations, a particle length of 1 mm, a particle width of 0.1 mm, and a particle weight of 0.002. Furthermore, we repeated the tractography s […]


Organ and cell specific immune responses are associated with the outcomes of intracerebral hemorrhage

PMCID: 5731128
PMID: 28877956
DOI: 10.1096/fj.201700324R
call_split See protocol

[…] ficient that reflects tissue capillary perfusion, and D is the true diffusion coefficient that reflects tissue cell activity. The diffusion quantification and analysis of IVIM were conducted by using MITK-Diffusion software ( A region of interest (ROI) analysis was performed to compute signal-intensity curves as a function of b. Splenic ROI was sampled at the middle of the sp […]


Intravoxel Incoherent Motion Diffusion for Identification of Breast Malignant and Benign Tumors Using Chemometrics

Biomed Res Int
PMCID: 5467388
PMID: 28630864
DOI: 10.1155/2017/3845409

[…] OI, every case is determined by 3 ROIs; if the diameter of focus is less than 1.5 cm, only one ROI is used.The IVIM features are got by an open-source software of MITK (German cancer research center, MITK diffusion 2014.10.02). IVIM analysis: the biexponential model from an IVIM sequence was expressed by the following equation, as described by Le Bihan et al. []:(1)SbS0=1−fexp⁡−b×D+fexp⁡−b×D+D∗,wh […]


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MITK-DI institution(s)
German Cancer Research Centre, Division of Medical and Biological Informatics, Heidelberg, Germany; German Cancer Research Center, Section Quantitative Imaging-based Disease Characterization, Heidelberg, Germany; University Hospital Freiburg, Department of Radiology, Medical Physics, Freiburg, Germany

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