Radiation Oncology Terminology Linker: A Step Towards a Linked Data Knowledge Base

T. Lustberg; J. Van Soest; P. Fick; R. Fijten; T. Hendriks; S. Puts; A. Dekker

doi:10.3233/978-1-61499-852-5-855

Radiation Oncology Terminology Linker: A Step Towards a Linked Data Knowledge Base

T. Lustberg^*, J. Van Soest, P. Fick, R. Fijten, T. Hendriks, S. Puts, A. Dekker

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

Abstract

Performing image feature extraction in radiation oncology is often dependent on the organ and tumor delineations provided by clinical staff. These delineation names are free text DICOM metadata fields resulting in undefined information, which requires effort to use in large-scale image feature extraction efforts. In this work we present a scale-able solution to overcome these naming convention challenges with a REST service using Semantic Web technology to convert this information to linked data. As a proof of concept an open source software is used to compute radiation oncology image features. The results of this work can be found in a public Bitbucket repository.

Original language	English
Title of host publication	BUILDING CONTINENTS OF KNOWLEDGE IN OCEANS OF DATA: THE FUTURE OF CO-CREATED EHEALTH
Editors	Adrien Ugon, Daniel Karlsson, Gunnar O. Klein, Anne Moen
Publisher	IOS Press
Pages	855-859
Number of pages	5
ISBN (Electronic)	9781614998525
ISBN (Print)	9781614998518
DOIs	https://doi.org/10.3233/978-1-61499-852-5-855
Publication status	Published - 2018
Event	Conference on Medical Informatics Europe (MIE) - SWEDEN Duration: 24 Apr 2018 → 26 Apr 2018

Publication series

Series	Studies in Health Technology and Informatics
Volume	247
ISSN	0926-9630

Conference

Conference	Conference on Medical Informatics Europe (MIE)
Period	24/04/18 → 26/04/18

Keywords

Linked data
Semantic Web
Radiation oncology
DICOM
ontology
semantic interoperability
LEARNING HEALTH-CARE

Access to Document

10.3233/978-1-61499-852-5-855Licence: CC BY-NC

Cite this

Lustberg, T., Van Soest, J., Fick, P., Fijten, R., Hendriks, T., Puts, S., & Dekker, A. (2018). Radiation Oncology Terminology Linker: A Step Towards a Linked Data Knowledge Base. In A. Ugon, D. Karlsson, G. O. Klein, & A. Moen (Eds.), BUILDING CONTINENTS OF KNOWLEDGE IN OCEANS OF DATA: THE FUTURE OF CO-CREATED EHEALTH (pp. 855-859). IOS Press. https://doi.org/10.3233/978-1-61499-852-5-855

Lustberg, T. ; Van Soest, J. ; Fick, P. et al. / Radiation Oncology Terminology Linker: A Step Towards a Linked Data Knowledge Base. BUILDING CONTINENTS OF KNOWLEDGE IN OCEANS OF DATA: THE FUTURE OF CO-CREATED EHEALTH. editor / Adrien Ugon ; Daniel Karlsson ; Gunnar O. Klein ; Anne Moen. IOS Press, 2018. pp. 855-859 (Studies in Health Technology and Informatics, Vol. 247).

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title = "Radiation Oncology Terminology Linker: A Step Towards a Linked Data Knowledge Base",

abstract = "Performing image feature extraction in radiation oncology is often dependent on the organ and tumor delineations provided by clinical staff. These delineation names are free text DICOM metadata fields resulting in undefined information, which requires effort to use in large-scale image feature extraction efforts. In this work we present a scale-able solution to overcome these naming convention challenges with a REST service using Semantic Web technology to convert this information to linked data. As a proof of concept an open source software is used to compute radiation oncology image features. The results of this work can be found in a public Bitbucket repository.",

keywords = "Linked data, Semantic Web, Radiation oncology, DICOM, ontology, semantic interoperability, LEARNING HEALTH-CARE",

author = "T. Lustberg and {Van Soest}, J. and P. Fick and R. Fijten and T. Hendriks and S. Puts and A. Dekker",

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booktitle = "BUILDING CONTINENTS OF KNOWLEDGE IN OCEANS OF DATA: THE FUTURE OF CO-CREATED EHEALTH",

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note = "Conference on Medical Informatics Europe (MIE) ; Conference date: 24-04-2018 Through 26-04-2018",

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Lustberg, T, Van Soest, J, Fick, P, Fijten, R, Hendriks, T, Puts, S & Dekker, A 2018, Radiation Oncology Terminology Linker: A Step Towards a Linked Data Knowledge Base. in A Ugon, D Karlsson, GO Klein & A Moen (eds), BUILDING CONTINENTS OF KNOWLEDGE IN OCEANS OF DATA: THE FUTURE OF CO-CREATED EHEALTH. IOS Press, Studies in Health Technology and Informatics, vol. 247, pp. 855-859, Conference on Medical Informatics Europe (MIE), 24/04/18. https://doi.org/10.3233/978-1-61499-852-5-855

Radiation Oncology Terminology Linker: A Step Towards a Linked Data Knowledge Base. / Lustberg, T.; Van Soest, J.; Fick, P. et al.
BUILDING CONTINENTS OF KNOWLEDGE IN OCEANS OF DATA: THE FUTURE OF CO-CREATED EHEALTH. ed. / Adrien Ugon; Daniel Karlsson; Gunnar O. Klein; Anne Moen. IOS Press, 2018. p. 855-859 (Studies in Health Technology and Informatics, Vol. 247).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

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AU - Fick, P.

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AU - Hendriks, T.

AU - Puts, S.

AU - Dekker, A.

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AB - Performing image feature extraction in radiation oncology is often dependent on the organ and tumor delineations provided by clinical staff. These delineation names are free text DICOM metadata fields resulting in undefined information, which requires effort to use in large-scale image feature extraction efforts. In this work we present a scale-able solution to overcome these naming convention challenges with a REST service using Semantic Web technology to convert this information to linked data. As a proof of concept an open source software is used to compute radiation oncology image features. The results of this work can be found in a public Bitbucket repository.

KW - Linked data

KW - Semantic Web

KW - Radiation oncology

KW - DICOM

KW - ontology

KW - semantic interoperability

KW - LEARNING HEALTH-CARE

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BT - BUILDING CONTINENTS OF KNOWLEDGE IN OCEANS OF DATA: THE FUTURE OF CO-CREATED EHEALTH

A2 - Ugon, Adrien

A2 - Karlsson, Daniel

A2 - Klein, Gunnar O.

A2 - Moen, Anne

PB - IOS Press

T2 - Conference on Medical Informatics Europe (MIE)

Y2 - 24 April 2018 through 26 April 2018

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Lustberg T, Van Soest J, Fick P, Fijten R, Hendriks T, Puts S et al. Radiation Oncology Terminology Linker: A Step Towards a Linked Data Knowledge Base. In Ugon A, Karlsson D, Klein GO, Moen A, editors, BUILDING CONTINENTS OF KNOWLEDGE IN OCEANS OF DATA: THE FUTURE OF CO-CREATED EHEALTH. IOS Press. 2018. p. 855-859. (Studies in Health Technology and Informatics, Vol. 247). doi: 10.3233/978-1-61499-852-5-855