Description of a low-field MRI scanner based on permanent magnets

Merel de Leeuw den Bouter, Dilan Gecmen, Angeline Meijer, Danny de Gans, Lennart Middelplaats, Rob Remis, Martin van Gijzen

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

More than 6,000 infants develop hydrocephalus in East Africa every year. Magnetic Resonance Imaging is the preferred technique to diagnose hydrocephalus. In countries such as Uganda, MRI is unaffordable at even major referral hospitals. In order to provide a sustainable diagnostic tool we are developing an inexpensive and easy-to-use MRI system that yields images of sufficient quality to diagnose hydrocephalus. This paper describes our first prototype of such a scanner. We explain the lessons that we have learned from this prototype and how we used these to come up with an improved design. We also describe a dataset that has been obtained with this scanner that will be made publically available.

Original languageEnglish
Title of host publicationCVCS 2020 Colour and Visual Computing Symposium 2020 Proceedings of the 10th Colour and Visual Computing Symposium 2020 (CVCS 2020) Gjøvik, Norway, and Virtual, September 16-17, 2020
EditorsJean-Baptiste Thomas, Giuseppe Claudio Guarnera, Sony George
Volume2688
Publication statusPublished - 2020
Event10th Colour and Visual Computing Symposium, CVCS 2020 - Virtual, Gjoivik, Norway
Duration: 16 Sep 202017 Sep 2020
Conference number: 10

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR-WS
ISSN (Print)1613-0073

Conference

Conference10th Colour and Visual Computing Symposium, CVCS 2020
Abbreviated titleCVCS 2020
CountryNorway
CityVirtual, Gjoivik
Period16/09/2017/09/20

Keywords

  • Dataset
  • Halbach array
  • Low-field MRI

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