Low Field MRI Scanner
Dr. Johnes Obungoloch of Mbarara University of Science and Technology
Low-cost MRI system for diagnosis of hydrocephalus in LMIC’s
The Low Field MRI Scanner, designed by Dr. Johnes Obungoloch of Mbarara University of Science and Technology, is capable of diagnosing infant hydrocephalus, a frequently occurring condition in sub-Saharan Africa. The system is built using ordinary permanent magnets encompassed in a magnet cylinder as rings adopted as an approach to reduce the cost of design. This low-field technology, which requires a smaller size magnet and yields lower resolution images, weighs 125 kg. As of 2021, this product is still in the prototyping phase.
Unknown as not yet commercialized, costs 18,000 USD in design.
The primary competitor for the Low Field MRI system is the MAGNETOM Free.Max by the Siemens Healthineers.
Goal 3: Good health and well being
Medical imaging experts, specifically those monitoring progress during the treatment of hydrocephalus in low resource settings.
This product is currently in the prototyping phase and not yet manufactured at scale. Prototypes are being developed in Uganda by the Biomedical Engineering Department at Mbarara University of Science and Technology.
The designers have not yet selected their user provision model.
Continuous, Recharging only, None, Other
CT, fluoroscopy, and radiography
The most expensive part of a conventional MRI system is the superconducting magnets. During the design of a Low Field MRI scanner, the superconducting magnets were replaced by a configuration of inexpensive off-the-shelf permanent magnets placed in a magnet cylinder as rings. The variations in the magnetic field can be used for spatial encoding, thus removing the necessity for gradient coils.
Provided by Biomedical Engineering Research group at Mbarara University.
Replaceable components include the permanent magnets.
<10 yearsInterview with designer in 2021
Manufacturer specified performance targets include being less than 50,000 Euros, lightweight, and easy to maintain.
The research group conducted two forms of the test; 1) performance tests in a lab setting using cabbages and volunteers to carry out brain scans, 2) denoising tests using machine learning algorithms using a two-level Bregman iterative method for image reconstruction and image denoising procedure both in Uganda and Netherlands.
Experiments were done on a noisy phantom that was obtained from a low field MRI scanner. Results demonstrated that the two-level Bregman algorithm performs superior image reconstructions that are almost noise-free. The method also performed better than the TBMDU algorithm, which performed better than DLMRI. However, the TBMDU algorithm was faster than the Bregman algorithm due to additional iterations required during the denoising step.
Mbarara University of Science and Technology, Delft University of Technology Netherlands, Leiden University, Pennsylvania State University, and CURE hospital Mbale District in Uganda
The low field MRI scanner uses a non-ionizing magnet field which is proven to be the safest technique for medical imaging.
The MRI system has been made to configure on tablet/iPad as an alternative interface.
Geçmen, D., 2020, “Deep Learning Techniques for Low-Field MRI,” Masters Thesis for TU Delft.
Diehl, J. C., van Doesum, F., Bakker, M., van Gijzen, M., O’Reilly, T., Muhumuza, I., … & Kabachelor, E. M., 2020, “The embodiment of low-field MRI for the diagnosis of infant hydrocephalus in Uganda,” 2020 IEEE Global Humanitarian Technology Conference, GHTC, pp. 1-8.
den Bouter, M. D. L., Gecmen, D., Meijer, A., de Gans, D., Middelplaats, L., Remis, R., & van Gijzen, M. B., 2020, “Description of a Low-field MRI Scanner Based on Permanent Magnets,” CVCS.
den Bouter, M. D. L., van Gijzen, M., & Remis, R., 2021, “Low-field magnetic resonance imaging using multiplicative regularization,” Magnetic Resonance Imaging, 75, pp. 21-33.
Chavali, A. K., Arvind K. Chavali and Ramesh Ramji., 2018, “Frugal Innovation in Bioengineering for the Detection of Infectious Diseases,” pp. 113.
van Doesum, F., 2020, “MRI for Africa: The design of an MRI for the diagnosis of infant hydrocephalus in Ugandan hospitals,” Masters Thesis for TU Delft.
None, as the Low field MRI is still under development.
The methods included in-house testing using small phantom images and a pilot with volunteer participants. More studies will be conducted after the completion of the design.
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