MITK Phenotyping: An open-source toolchain for image-based personalized medicine with radiomics

Michael Götz; Marco Nolden; Klaus Maier-Hein

doi:10.1016/j.radonc.2018.11.021

MITK Phenotyping: An open-source toolchain for image-based personalized medicine with radiomics

Radiother Oncol. 2019 Feb:131:108-111. doi: 10.1016/j.radonc.2018.11.021. Epub 2018 Dec 31.

Authors

Michael Götz¹, Marco Nolden², Klaus Maier-Hein³

Affiliations

¹ Medical Image Analysis, Division Medical Image Computing, DKFZ Heidelberg, Germany; National Center for Tumor Diseases (NCT), Heidelberg, Germany. Electronic address: [email protected].
² Medical Imaging Components, Division Medical Image Computing, DKFZ Heidelberg, Germany.
³ Medical Image Analysis, Division Medical Image Computing, DKFZ Heidelberg, Germany.

PMID: 30773176
DOI: 10.1016/j.radonc.2018.11.021

Abstract

Radiomics - The extraction of quantitative features from radiologic images - shows increasing potential in contributing to modern personalized medicine approaches. MITK Phenotyping is an openly distributed radiomics framework implementing an exhaustive set of features, adhering to most recent international standards, and supporting a variety of different user interfaces and programming languages.

Keywords: Image phenotyping; Machine learning; Open source software; Personalized medicine; Radiology image processing; Radiomics.

MeSH terms

Algorithms
Humans
Image Enhancement / methods*
Image Processing, Computer-Assisted / methods*
Phenotype
Precision Medicine / methods
Software