Managing Provenance for Medical Datasets - An Example Case for Documenting the Workflow for Image Processing

Ajinkya Prabhune, Rainer Stotzka, Michael Gertz, Lei Zheng, Jürgen Hesser

Abstract

In this paper, we present a novel data repository architecture that is capable of handling the complex image processing workflows and its associated provenance for clinical image data. This novel system has unique and outstanding properties versus existing systems. Among the most relevant features are a flexible and intuitively usable data and metadata management that includes the use of a graph-based provenance management strategy based on a standard provenance model. Annotation is supported to allow for flexible text descriptors as being widespread found for clinical data when structured templates are not yet available. The architecture presented here is based on a modern database and management concepts and allows to overcome the limitations of current systems namely limited provenance support, lacking flexibility, and extensibility to novel requests. To demonstrate the practical applicability of our architecture, we consider a use case of automated image data processing workflow for identifying vascular lesions in the lower extremities, and describe the provenance graph generated for this workflow. Although presented for image data, the proposed concept applies to more general context of arbitrary clinical data and could serve as an additional service to existing clinical IT systems.

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Paper Citation


in Harvard Style

Prabhune A., Stotzka R., Gertz M., Zheng L. and Hesser J. (2017). Managing Provenance for Medical Datasets - An Example Case for Documenting the Workflow for Image Processing . In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2017) ISBN 978-989-758-213-4, pages 236-243. DOI: 10.5220/0006109402360243


in Bibtex Style

@conference{healthinf17,
author={Ajinkya Prabhune and Rainer Stotzka and Michael Gertz and Lei Zheng and Jürgen Hesser},
title={Managing Provenance for Medical Datasets - An Example Case for Documenting the Workflow for Image Processing},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2017)},
year={2017},
pages={236-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006109402360243},
isbn={978-989-758-213-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2017)
TI - Managing Provenance for Medical Datasets - An Example Case for Documenting the Workflow for Image Processing
SN - 978-989-758-213-4
AU - Prabhune A.
AU - Stotzka R.
AU - Gertz M.
AU - Zheng L.
AU - Hesser J.
PY - 2017
SP - 236
EP - 243
DO - 10.5220/0006109402360243