A new international collaboration between researchers in Spain and Uganda is now exploring how cloud computing could help close that gap by transforming low-quality MRI outputs into clinically usable images without requiring expensive on-site computing infrastructure.
The project brings together the Institute of Instrumentation for Molecular Imaging (I3M) in Spain and Mbarara University of Science and Technology (MUST) in Uganda, leveraging Microsoft Research’s cloud-based imaging platform, Tyger, to enhance MRI data collected from ultra-low-field scanners.
Cloud Reconstruction Replaces Heavy On-Site Computing
Traditional MRI systems rely not only on powerful magnetic hardware but also on high-performance local computing systems to reconstruct raw signals into usable images. In many low-resource settings, this computational requirement becomes a major barrier, limiting both image quality and diagnostic reliability.
With the Tyger platform, that workload is shifted away from local machines to Microsoft Azure cloud infrastructure. Raw MRI signals captured in Uganda are transmitted to the cloud, where advanced processing tools handle reconstruction, denoising, and distortion correction.
Among these tools is SNRAware, a Microsoft Research-developed model designed to improve signal quality by reducing noise before images are returned to clinicians and researchers for interpretation.
This shift allows the MRI scanner itself to focus primarily on signal acquisition, while the heavy computational work is handled remotely, enabling higher-quality imaging even in constrained environments.
“Bringing Imaging to Communities That Have Never Had Access”
For Ugandan researchers, the impact is not abstract—it directly relates to everyday healthcare limitations faced by patients.
“For many patients, travelling to distant hospitals for imaging is simply not feasible,” said Eng. Dr. Johnes Obungoloch, Dean of the Faculty of Applied Sciences and Technology at MUST. “Technology like this could help bring advanced imaging to communities that have never had access to it.”
The collaboration, which began in 2023 after discussions between I3M and Microsoft Research, has steadily progressed from experimental testing to more consistent use in volunteer imaging studies.
“We have scanned dozens of volunteers since 2025,” Obungoloch added. “Early on, we could only image part of the head. Today, we can acquire full-head images.”
That progression highlights not just technological improvement, but also the gradual adaptation of advanced imaging systems to environments where infrastructure constraints would normally limit performance.
Addressing a Longstanding Diagnostic Gap in Uganda
Uganda’s healthcare system faces a persistent shortage of advanced diagnostic tools, particularly MRI machines, which remain expensive to install and maintain. As a result, many patients must travel long distances for scans, often delaying diagnosis and treatment in critical cases.
By improving the usability of ultra-low-field MRI systems through cloud-based reconstruction, the project aims to make imaging more accessible and less dependent on expensive hospital infrastructure.
The approach is particularly significant for emergency and neurological conditions, where timely imaging can determine survival and long-term outcomes.
Training Local Experts Alongside Technology Deployment
Beyond the technical innovation, the project is also focused on human capacity building. At Mbarara University of Science and Technology (MUST), engineering and medical students are being trained in MRI systems, signal processing, electronics, and image reconstruction techniques.
Community healthcare workers are also being introduced to aspects of imaging technology, helping to build a broader ecosystem of expertise that can sustain and expand the system beyond the research phase.
This emphasis on training is intended to ensure that knowledge transfer accompanies technological deployment, reducing long-term dependency on external expertise.
“Clearer MRI Images Without Expensive Infrastructure”
From the perspective of Microsoft Research Health Futures, the collaboration illustrates how cloud-based medical imaging could reshape access to diagnostics in low-resource settings.
“By enabling image reconstruction and enhancement in the cloud through Tyger, researchers can produce clearer MRI images without relying on expensive local computing infrastructure,” said Michael Hansen, General Manager of Medical Imaging at Microsoft Research Health Futures. “This opens new possibilities for making high-quality diagnostic imaging more accessible in underserved communities.”
Toward Scalable Medical Imaging in Low-Resource Settings
While still in a research and development phase, the Uganda–Spain collaboration is being closely watched as a potential model for scaling advanced medical imaging in regions where traditional infrastructure is limited.
If expanded successfully, the approach could help redefine how MRI technology is deployed—not as a facility-bound, high-cost system, but as a distributed service supported by cloud intelligence, local scanning devices, and global computational infrastructure.