Curation of image data for medical research

Lasse Wollatz, Mark Scott, Steven J. Johnston, Peter M. Lackie, Simon J. Cox

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.
Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE 14th International Conference on e-Science (e-Science)
PublisherInstitute of Electrical and Electronics Engineers
Pages105-113
Number of pages9
ISBN (Electronic)978-1-5386-9156-4
ISBN (Print)978-1-5386-9157-1
DOIs
Publication statusPublished - 27 Dec 2018
Event2018 IEEE 14th International Conference on e-Science
- Amsterdam, Netherlands
Duration: 29 Oct 20181 Nov 2018

Conference

Conference2018 IEEE 14th International Conference on e-Science
Country/TerritoryNetherlands
CityAmsterdam
Period29/10/181/11/18

Keywords

  • noissn
  • RCUK
  • EPSRC
  • 1511465

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