Difference between revisions of "Phenotyping"

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(Added more detailed description and highlights list)
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MITK Phenotyping is a combination of different tools and techniques that are generally available within MITK.
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MITK Phenotyping is a selection of different methods and algorithms that can be used for Radiomics-related research and application building. It is mainly developed within the Division [https://www.dkfz.de/en/mic/index.php Medical Image Computing] at the German Cancer Research Center (DKFZ).
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MITK Phenotyping is part of the main MITK Software. Currently, it contains some software part that are not yet integrated in the main release. It is planned to merge both, MITK Phenotyping and MITK Workbench into a single software package.
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* [[#Features & Highlights|'''Features & Highlights''']]
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== Features & Highlights ==
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''' Support for most established medical imaging file formats '''
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* Images: DICOM, NIFTI, NRRD and other
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* VTK file formats (for meshed, point sets etc..)
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''' Image preprocessing '''
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* Registration using MatchPoint
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* Image Filtering and processing
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** Laplacian of Gaussian (LoG)
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** Wavelet-Transformation
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** Mathematical Operations
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''' Semiautomatic Segmentation'''
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* Multilabel Support
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* Several manual and semiautomatic segmentation methods
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* Extra Tools for Segmentation Cleaning / Postprocessing
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''' Radiomics Feature Calculation'''
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* Wide range of possible Features
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* Tested in combination with the IBSI initiative
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* Possibility of encoding feature parameters in feature names

Revision as of 11:49, 20 September 2018

MITK Phenotyping is a selection of different methods and algorithms that can be used for Radiomics-related research and application building. It is mainly developed within the Division Medical Image Computing at the German Cancer Research Center (DKFZ).

MITK Phenotyping is part of the main MITK Software. Currently, it contains some software part that are not yet integrated in the main release. It is planned to merge both, MITK Phenotyping and MITK Workbench into a single software package.

Features & Highlights

Support for most established medical imaging file formats

  • Images: DICOM, NIFTI, NRRD and other
  • VTK file formats (for meshed, point sets etc..)

Image preprocessing

  • Registration using MatchPoint
  • Image Filtering and processing
    • Laplacian of Gaussian (LoG)
    • Wavelet-Transformation
    • Mathematical Operations

Semiautomatic Segmentation

  • Multilabel Support
  • Several manual and semiautomatic segmentation methods
  • Extra Tools for Segmentation Cleaning / Postprocessing

Radiomics Feature Calculation

  • Wide range of possible Features
  • Tested in combination with the IBSI initiative
  • Possibility of encoding feature parameters in feature names