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Curation of Image Data for Medical Research

Curation of Image Data for Medical Research
Curation of Image Data for Medical Research
Microfocus X-ray computed tomography (μCT)and 3D microscopy scanning create scientific data in the form images. These images are each several tens of gigabytes in size.E-Scientists in medicine require a user-friendly way of storing the data and related metadata and accessing it. Existing management systems allow computer scientists to create automatic image workflows through the use of application programming interfaces(APIs) but do not offer an easy alternative for users less familiar with programming. We present a new approach to the management and curation of biomedical image data and related metadata. Our system, Mata, uses a network file share to give users direct access to their data and also provides access to metadata. Mata also enables a variety of visualization options as required by e-Scientists in medicine.
105-113
Wollatz, Lasse
7a2e3e37-13e6-47ec-aed8-33078db4c3ff
Scott, Mark
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Johnston, Steven J.
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Lackie, Peter M.
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Cox, Simon J.
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Wollatz, Lasse
7a2e3e37-13e6-47ec-aed8-33078db4c3ff
Scott, Mark
64313def-cd6c-4f28-8efc-00f927ea8607
Johnston, Steven J.
6b903ec2-7bae-4a56-9c21-eea0a70bfa2b
Lackie, Peter M.
4afbbe1a-22a6-4ceb-8cad-f3696dc43a7a
Cox, Simon J.
0e62aaed-24ad-4a74-b996-f606e40e5c55

Wollatz, Lasse, Scott, Mark, Johnston, Steven J., Lackie, Peter M. and Cox, Simon J. (2018) Curation of Image Data for Medical Research. 14th International IEEE eScience Conference, Mövenpick Hotel Amsterdam City , Amsterdam, Netherlands. 29 Oct - 01 Nov 2018. pp. 105-113 . (doi:10.1109/eScience.2018.00026).

Record type: Conference or Workshop Item (Paper)

Abstract

Microfocus X-ray computed tomography (μCT)and 3D microscopy scanning create scientific data in the form images. These images are each several tens of gigabytes in size.E-Scientists in medicine require a user-friendly way of storing the data and related metadata and accessing it. Existing management systems allow computer scientists to create automatic image workflows through the use of application programming interfaces(APIs) but do not offer an easy alternative for users less familiar with programming. We present a new approach to the management and curation of biomedical image data and related metadata. Our system, Mata, uses a network file share to give users direct access to their data and also provides access to metadata. Mata also enables a variety of visualization options as required by e-Scientists in medicine.

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CurationOfImageDataForMedicalResearch-IEEE_eScience_2018 - Accepted Manuscript
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More information

Submitted date: 1 June 2018
Accepted/In Press date: 15 August 2018
Published date: 29 October 2018
Venue - Dates: 14th International IEEE eScience Conference, Mövenpick Hotel Amsterdam City , Amsterdam, Netherlands, 2018-10-29 - 2018-11-01

Identifiers

Local EPrints ID: 426817
URI: http://eprints.soton.ac.uk/id/eprint/426817
PURE UUID: b4b53f26-907c-41d9-9351-a495198ffaad
ORCID for Lasse Wollatz: ORCID iD orcid.org/0000-0002-8761-7884
ORCID for Mark Scott: ORCID iD orcid.org/0000-0002-0476-9779
ORCID for Steven J. Johnston: ORCID iD orcid.org/0000-0003-3864-7072
ORCID for Peter M. Lackie: ORCID iD orcid.org/0000-0001-7138-3764

Catalogue record

Date deposited: 12 Dec 2018 17:34
Last modified: 26 Nov 2021 05:48

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Contributors

Author: Lasse Wollatz ORCID iD
Author: Mark Scott ORCID iD
Author: Peter M. Lackie ORCID iD
Author: Simon J. Cox

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