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.
Show moreStarting year
2025
End year
2029
Granted funding
Funder
Research Council of Finland
Funding instrument
Academy projects
Decision maker
Scientific Council for Natural Sciences and Engineering
12.06.2025
12.06.2025
Other information
Funding decision number
370528
Fields of science
Medical engineering
Research fields
Lääketieteellinen tekniikka