Accurate quantitative imaging with open-source open hardware low-field MRI (AequiLoFi)

Description of the granted funding

We will develop accurate and reliable image reconstruction methods for low-field quantitative Magnetic Resonance Imaging (qMRI) for broad utilization and comparability of quantitative physiological markers. While commercial high-field MR imaging offers excellent signal quality and high performance, widespread utilization of qMRI imaging is not feasible due to extensive costs. Low-cost and open-hardware low-field MRI solutions overcome the availability issue, but come with the downside of lower signal-to-noise ratio and potentially severe field distortions complicating accurate reconstructions. This multi-disciplinary consortium project will compensate for these issues by joint development of advanced mathematical and experimental research. An open-hardware and open-source MRI device will be constructed to validate the image reconstruction and acquisition methods. Successful implementation will improve availability of qMRI in general and especially for remote and low resource areas.
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Starting year

2025

End year

2029

Granted funding


Andreas Hauptmann Orcid -palvelun logo
500 000 €

Funder

Research Council of Finland

Funding instrument

Academy projects

Decision maker

Scientific Council for Natural Sciences and Engineering
12.06.2025

Other information

Funding decision number

370528

Fields of science

Medical engineering

Research fields

Lääketieteellinen tekniikka