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Published in:
2018 | OriginalPaper | Chapter
Automated Containerized Medical Image Processing Based on MITK and Python
A Modular System to Implement Medical Image Processing Pipelines and Visualize Meta Data
Authors : Caspar J. Goch, Jasmin Metzger, Martin Hettich, André Klein, Tobias Norajitra, Michael Götz, Jens Petersen, Klaus H. Maier-Hein, Marco Nolden
Published in: Bildverarbeitung für die Medizin 2018
Publisher: Springer Berlin Heidelberg
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Modern medical image processing employs an ever widening array of tools on an ever larger pool of data. Development of the tools takes place on a variety of different platforms, determined by external circumstances, such as the availability of necessary functionality as libraries forcing the use of a specific programming language or interdependencies of third party tools requiring specific versions of specific operating systems. This problem itself is not unique to medical imaging[1] and solutions such as Docker have proven themselves useful in a variety of use cases.