Low Cost, Portable MRI Machine Diagnoses Brain Injuries Without Need for Heavy and Expensive Shielding
|
By MedImaging International staff writers Posted on 16 Dec 2021 |

A low-cost and shielding-free ultra-low-field brain magnetic resonance imaging (MRI) scanner has the potential to meet clinical needs at point of care or in low and middle income countries.
The ultra-low-field brain MRI scanner that operates using a standard AC power outlet and is low cost to build has been developed by researchers at the University of Hong Kong (Hong Kong). MRI is intrinsically superior to other imaging modalities, because it is non-invasive, non-ionizing, inherently quantitative and multi-parametric. Despite being a key diagnostic tool in modern healthcare, MRI can be cost-prohibitive given the high installation, maintenance and operation costs of the machinery. As a result, MRI accessibility is low and extremely inhomogeneous around the world. Recently, there has been an impetus to develop low-cost MRI technologies at ultra-low-field strengths. Despite its inherent limitations, the researchers set out to prove that ultra-low-field still holds clear potential in creating a new class of low-cost MRI technologies for accessible healthcare with scanners that are simple to onboard, maintain and operate.
The researchers developed and demonstrated a low cost, ultra-low-field 0.055 T MRI scanner that operates out of a standard AC wall power outlet. Such a scanner can be low cost to manufacture, maintain and operate. For quantity production, the team estimates the hardware material to cost under USD20,000. The MRI scanner is compact, potentially mobile, and acoustically quiet during scanning. Using a permanent 0.055 Tesla Samarium-cobalt magnet and deep learning for cancellation of electromagnetic interference, it requires neither magnetic nor radiofrequency shielding cages. The scanner is compact, mobile, and acoustically quiet during scanning. The researchers implemented four standard clinical neuroimaging protocols (T1- and T2-weighted, fluid-attenuated inversion recovery like, and diffusion-weighted imaging) on this system, and demonstrated preliminary feasibility in diagnosing brain tumor and stroke.
The high cost of procuring, siting/installing, maintaining and operating the current clinical scanners constitutes a major roadblock in MRI accessibility in healthcare. The low-cost, low-power, compact, open, and shielding-free ultra-low-field MRI scanner for brain imaging aims to complement rather than compete with existing high-performance clinical MRI in healthcare. The development of such ultra-low-field MRI technologies will enable patient-centric and site-agnostic MRI scanners to fulfill the unmet clinical needs across various global healthcare sites and has the potential to democratize MRI for low and middle income countries.
Related Links:
University of Hong Kong
Latest MRI News
- 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
- Combined Imaging Approach Identifies Cause of Heart Attack without Coronary Blockage
- Advanced MRI System Detects Impaired Cardiac Oxygen Use in Minutes
- AI-Enhanced MRI Improves Image Quality in Arrhythmia Patients
- Ultra-Detailed Brain Atlas Enhances Early Detection of Neurological Disorders
Channels
Radiography
view channel
AI Mammography Tools Detect Early Breast Cancer Signs Years Before Diagnosis
Breast cancer screening aims to detect tumors before symptoms develop, but subtle mammographic changes can appear years before diagnosis and may be missed during routine reads. Delayed detection can lead... Read more
Rapid X-Ray Test Quantifies Pulmonary Regurgitation After Tetralogy of Fallot Repair
Tetralogy of Fallot is the most common cyanotic congenital heart defect and can leave patients with pulmonary valve regurgitation, a backward flow of blood into the right ventricle after repair.... Read moreUltrasound
view channelAI Robotic Ultrasound System Automates Echocardiography and Improves Consistency
Echocardiography, an ultrasound examination of the heart, is central to diagnosing and managing cardiovascular disease. Many services struggle with limited availability of skilled sonographers, variable... Read more
Whole Cross-Section Ultrasound System Enables Operator-Independent Imaging
Conventional ultrasound is central to bedside imaging but is limited by a narrow field of view and operator variability. Comprehensive cross-sectional assessment typically requires computed tomography... Read moreNuclear Medicine
view channelNew PET Tracer Detects DVT and Pulmonary Embolism in One Scan
Deep vein thrombosis is the formation of clots in deep leg veins that can migrate to the lungs as pulmonary embolism. Rapid confirmation across both regions often requires multiple tests and can delay treatment.... Read more
Targeted PET Platform Guides Osteosarcoma Resection and Margin Verification
Osteosarcoma, an aggressive primary bone cancer that mainly affects children and adolescents, demands wide excision to prevent local recurrence. Surgeons must achieve negative margins while preserving... Read moreGeneral/Advanced Imaging
view channel
AI Tool Enables Real-Time Diffuse Optical Tomography for Brain Lesion Detection
Diffuse optical tomography is a noninvasive imaging technique that uses near-infrared light to detect internal abnormalities such as cerebral hemorrhage and tumors. Its clinical utility for real-time ... Read moreNew SPECT/CT Method Differentiates Inflammation from Fibrosis in Interstitial Lung Disease
Interstitial lung disease (ILD) encompasses more than 200 disorders that inflame or scar the lung interstitium and can lead to progressive respiratory failure. Determining whether active inflammation is... Read moreImaging IT
view channel
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 more
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... 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







