GraphMIC: Easy Prototyping of Medical Image Computing Applications

  • GraphMIC is a cross-platform image processing application utilizing the libraries ITK and OpenCV. The abstract structure of image processing pipelines is visually represented by user interface components based on modern QtQuick technology and allows users to focus on arrangement and parameterization of operations rather than implementing the equivalent functionality natively in C++. The application's central goal is to improve and simplify the typical workflow by providing various high level features and functions like multi threading, image sequence processing and advanced error handling. A built-in python interpreter allows the creation of custom nodes, where user defined algorithms can be integrated to extend basic functionality. An embedded 2d/3d visual-izer gives feedback of the resulting image of an operation or the whole pipeline. User inputs like seed points, contours or regions are forwarded to the processing pipeline as parameters to offer semi-automatic image computing. We report the main concept of the application and introduce several features and their implementation. Finally, the current state of development as well as future perspectives of GraphMIC are discussed

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Author:Alexander Zehner, Alexander Eduard Szalo, Christoph PalmORCiDGND
Parent Title (English):Interactive Medical Image Computing (IMIC), Workshop at the Medical Image Computing and Computer Assisted Interventions (MICCAI 2015), 2015, Munich
Document Type:conference proceeding (article)
Year of first Publication:2015
Release Date:2019/12/20
GND Keyword:Bildverarbeitung; Medizin
First Page:395
Last Page:400
Institutes:Fakult├Ąt Informatik und Mathematik
Regensburg Center of Biomedical Engineering - RCBE
Fakult├Ąt Informatik und Mathematik / Regensburg Medical Image Computing (ReMIC)
research focus:Lebenswissenschaften und Ethik