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Industrial Knowledge Management Tools Applied to Engineering Education Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Processing and Visual Analyze of Heterogeneous and Multidimensional Data in Biomedical PLM Context

Authors : Marianne Allanic, Pierre-Yves Hervé, Alexandre Durupt, Marc Joliot, Philippe Boutinaud, Benoit Eynard

Published in: Product Lifecycle Management for Digital Transformation of Industries

Publisher: Springer International Publishing

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Abstract

The emergence of PLM for biomedical imaging lifecycle management highlights the needs for management and analysis of heterogeneous, complex and multidimensional data in PLM systems. Data provenance in biomedical imaging domain is complex, notably provenance of processing data, and to ensure full traceability in a purpose of reuse, processing operations must be integrated to PLM systems and processing provenance must be easily analyzable by users. The DIMP (Data Integrated Management and Processing) method was designed for this objective: it allows user to launch easily processing chains from PLM systems and ensures a full management of provenance. The MDG (Multidimensional Dynamic Graph) representation is introduced to formalize complex provenance and data relationships. JGEX (Json Graph EXchange) file format and NeuroGraphViewer web graph visualization client have been developed to facilitate the analysis of MDG. An application of the DIMP method to the study of functional brain connectivity through MDG analysis encourages further work on analysis of complex relationships in PLM systems.

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Metadata
Title
Processing and Visual Analyze of Heterogeneous and Multidimensional Data in Biomedical PLM Context
Authors
Marianne Allanic
Pierre-Yves Hervé
Alexandre Durupt
Marc Joliot
Philippe Boutinaud
Benoit Eynard
Copyright Year
2016
Book
Product Lifecycle Management for Digital Transformation of Industries

Print ISBN: 978-3-319-54659-9

Electronic ISBN: 978-3-319-54660-5

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-54660-5_35

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