New MRI Scanner Meets Third World Needs
|
By MedImaging International staff writers Posted on 27 Dec 2021 |

Image: The prototype ULF MRI brain scanner (Photo courtesy of HKU)
An ultra-low magnetic field (ULF) MRI scanner has the potential to meet clinical point of care (POC) needs in low and middle income countries.
Developed at the University of Hong Kong (HKU; China), the ULF MRI scanner uses a permanent 0.055 Tesla Samarium-cobalt magnet and deep learning (DL) algorithms for cancellation of electromagnetic interference, and as a result requires neither magnetic nor radiofrequency (RF) shielding cages. The compact, mobile scanner is intended for brain scanning, powered via a standard AC power outlet, is also and acoustically quiet during scanning. According to the HKU developers, it can be constructed for less than USD 20,000.
To test its capabilities, they implemented four standard clinical neuroimaging protocols (T1- and T2-weighted, fluid-attenuated inversion recovery like, and diffusion-weighted imaging) on 25 patients, successfully demonstrating preliminary feasibility in the diagnosis of brain tumors and stroke. In addition, as the system is ULF, it also has lower sensitivity to metallic implants, less susceptibility to artifacts at the air/tissue interface, and an extremely low RF specific absorption rate (SAR). The study describing the new MRI system was published on December 14, 2021, in Nature Communications.
“The high cost of procuring, siting/installing, maintaining and operating the current clinical scanners constitutes a major roadblock in MRI accessibility in healthcare,” concluded senior author professor of biomedical engineering Ed X. Wu, PhD, and colleagues. “Low-cost, low-power, compact, open, and shielding-free [ultra-low magnetic field] MRI for brain imaging, as demonstrated here, aims to complement rather than compete with existing high performance clinical MRI in healthcare.”
According to the Organization for Economic Co-operation and Development (OECD), in 2020 there were approximately 65,000 installations of MRI scanners worldwide (or approximately seven per one million inhabitants), as compared to about 200,000 CT scanners and over 1,500,000 ultrasound scanners. The distribution of MRI scanners is concentrated mainly within high income countries, with scarce availability in low and middle income countries. As a result, 70% of the world’s population has little to no access to MRI.
Related Links:
University of Hong Kong
Developed at the University of Hong Kong (HKU; China), the ULF MRI scanner uses a permanent 0.055 Tesla Samarium-cobalt magnet and deep learning (DL) algorithms for cancellation of electromagnetic interference, and as a result requires neither magnetic nor radiofrequency (RF) shielding cages. The compact, mobile scanner is intended for brain scanning, powered via a standard AC power outlet, is also and acoustically quiet during scanning. According to the HKU developers, it can be constructed for less than USD 20,000.
To test its capabilities, they implemented four standard clinical neuroimaging protocols (T1- and T2-weighted, fluid-attenuated inversion recovery like, and diffusion-weighted imaging) on 25 patients, successfully demonstrating preliminary feasibility in the diagnosis of brain tumors and stroke. In addition, as the system is ULF, it also has lower sensitivity to metallic implants, less susceptibility to artifacts at the air/tissue interface, and an extremely low RF specific absorption rate (SAR). The study describing the new MRI system was published on December 14, 2021, in Nature Communications.
“The high cost of procuring, siting/installing, maintaining and operating the current clinical scanners constitutes a major roadblock in MRI accessibility in healthcare,” concluded senior author professor of biomedical engineering Ed X. Wu, PhD, and colleagues. “Low-cost, low-power, compact, open, and shielding-free [ultra-low magnetic field] MRI for brain imaging, as demonstrated here, aims to complement rather than compete with existing high performance clinical MRI in healthcare.”
According to the Organization for Economic Co-operation and Development (OECD), in 2020 there were approximately 65,000 installations of MRI scanners worldwide (or approximately seven per one million inhabitants), as compared to about 200,000 CT scanners and over 1,500,000 ultrasound scanners. The distribution of MRI scanners is concentrated mainly within high income countries, with scarce availability in low and middle income countries. As a result, 70% of the world’s population has little to no access to MRI.
Related Links:
University of Hong Kong
Latest MRI News
- Advanced MRI Reveals Structural Brain Changes Linked to Better Cognitive Health
- Cardiac MRI Detects Hidden Heart Dysfunction After Heart Attack
- AI Tool Reveals Cortical Lesions on Standard MRI in Multiple Sclerosis
- AI Reconstruction Tool Speeds Dynamic Breast MRI and Improves Cancer Detection
- International Study Assesses AI for Prostate Cancer MRI Interpretation
- AI Approach Could Shorten Advanced Brain MRI Scans by Up to 90%
- Cardiac MRI Measure Improves Risk Prediction in Tricuspid Regurgitation
- AI System Improves Accuracy of Cardiac MRI Interpretation
- Deep Learning Model Predicts Alzheimer’s Disease Outcomes from Baseline MRI
- Blood-Brain Barrier Imaging Adds Risk Insight to Standard Stroke MRI
- AI Body Composition MRI Analysis Predicts Cardiometabolic Disease Risk
- AI MRI Tool Quantifies Muscle Fat to Assess Cardiometabolic Risk
- Advanced MRI Visualizes CSF Motion Changes After Mild Traumatic Brain Injury
- MRI Tool Enables Long-Term Tracking of Transplanted Cardiac Cells
- MRI-Based AI Tool Supports Differentiation of Parkinsonian Syndromes
- MRI-Derived Biomarker Improves Risk Stratification in Glioblastoma
Channels
Radiography
view channel
Computational X-Ray Technique Enables High-Resolution, Low-Dose Radiography
Reducing radiation in medical X-ray imaging remains a persistent challenge because dose reductions often degrade spatial resolution and diagnostic confidence. This is especially critical in pediatrics,... Read more
AI Tool Predicts Five-Year Breast Cancer Risk from Mammograms
Breast cancer risk assessment during routine screening is difficult because many women who develop the disease have no known genetic mutations or family history. Static risk tools provide limited discrimination... Read moreUltrasound
view channel
Simple 2D Ultrasound Tool Accurately Estimates Placental Volume
Stillbirth remains a major cause of perinatal loss, with about 21,000 cases annually in the United States. Although placental abnormalities are linked to adverse pregnancy outcomes, routine monitoring... Read more
Portable 3D Ultrasound System Enables Reproducible Breast Cancer Monitoring
Breast cancer can develop between annual mammograms, and these interval cancers account for 20% to 30% of cases and tend to be more aggressive. The challenge is pronounced in people with dense breast tissue.... Read moreNuclear Medicine
view channel
Radiotherapy Professionals Embrace AI as a Clinical Support Tool
Radiotherapy planning requires precise identification of organs at risk near a tumor, but manual contouring is repetitive and time-consuming, often delaying plan completion and straining specialist capacity.... Read more
Second PSMA PET Identifies Disease in More Than Half of Negative Cases
Biochemical recurrence of prostate cancer after prostatectomy or radiation can be difficult to localize when imaging is negative. Uncertain disease sites may delay salvage therapy and expose patients to... Read moreGeneral/Advanced Imaging
view channel
New PE-RADS Framework Standardizes Pulmonary Embolism Imaging Reports
Pulmonary embolism is a sudden blockage of the lung’s blood vessels that reduces pulmonary blood flow, can strain the right hear,t and may be fatal if untreated. Patients often present with shortness of... Read more
Virtual Staining Technique Creates Histology Images from CT Data
Pulmonary hypertension, a disorder marked by pathological remodeling of the pulmonary vessels, often requires detailed histologic assessment. Yet routine pathology remains anchored in labor‑intensive,... Read more
CT-Derived Biomarker Predicts Outcomes in Gastric Cancer
Gastric cancer, also known as stomach cancer, is the fifth most common malignancy worldwide and often shows heterogeneous outcomes even within the same stage. Prognostic estimates typically rely on tumor-centric... Read more
AI Tool Enhances Response Assessment and Survival Prediction in Pleural Mesothelioma
Pleural mesothelioma, a cancer that grows as a thin, irregular layer along the lung wall, is difficult to measure on imaging. Clinicians rely on diameter-based Response Evaluation Criteria in Solid Tumors... Read moreImaging IT
view channel
Ambient AI Reporting Platform Streamlines Radiology Reporting
Radiology departments face growing imaging volumes and staffing shortages, creating reporting bottlenecks and pressure to maintain turnaround times. Conventional dictation tools document findings after... Read more
Interactive AI Tool Supports Explainable Lung Nodule Assessment
Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read moreIndustry News
view channel
GE HealthCare Showcases AI-Enabled Nuclear Medicine Portfolio at SNMMI 2026
Nuclear medicine is expanding rapidly as health systems adopt theranostics and broaden access to radiopharmaceuticals, increasing demand for scalable operations and consistent diagnostic confidence.... Read more
GE HealthCare Highlights AI-Supported Radiation Therapy Tools at ESTRO 2026
At the European Society for Radiotherapy and Oncology (ESTRO) 2026 Congress in Stockholm, GE HealthCare is highlighting Intelligent Radiation Therapy (iRT), MIM Software innovations, and BK Medical surgical... Read more





 Guided Devices.jpg)

