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 language | English |
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Title of host publication | CVCS 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 |
Editors | Jean-Baptiste Thomas, Giuseppe Claudio Guarnera, Sony George |
Volume | 2688 |
Publication status | Published - 2020 |
Event | 10th Colour and Visual Computing Symposium, CVCS 2020 - Virtual, Gjoivik, Norway Duration: 16 Sept 2020 → 17 Sept 2020 Conference number: 10 |
Publication series
Name | CEUR Workshop Proceedings |
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Publisher | CEUR-WS |
ISSN (Print) | 1613-0073 |
Conference
Conference | 10th Colour and Visual Computing Symposium, CVCS 2020 |
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Abbreviated title | CVCS 2020 |
Country/Territory | Norway |
City | Virtual, Gjoivik |
Period | 16/09/20 → 17/09/20 |
Keywords
- Dataset
- Halbach array
- Low-field MRI