New Medical Scanner Identifies Brain Damage in Stroke Patients at Lower Magnetic Fields
By MedImaging International staff writers Posted on 13 Dec 2024 |

Researchers have developed a new type of medical scanner that can identify brain damage in stroke patients at lower magnetic fields than ever before.
The world’s first Field Cycling Imager (FCI), developed by a research team at the University of Aberdeen (Scotland, UK), is based on the principles of magnetic resonance imaging (MRI) but is capable of operating at ultra-low magnetic fields. This unique capability allows it to observe how diseases affect organs in ways that were previously not possible. Additionally, because the FCI is safer than current MRI scanners, it presents exciting opportunities for creating portable systems suitable for use in ambulances and other out-of-hospital environments. While traditional MRI scanners use strong magnetic fields and radio waves to generate detailed internal body images, the FCI’s design allows it to adjust the magnetic field strength during the scan.
The FCI can operate with magnetic fields as low as those of a refrigerator magnet while still producing high-quality images. The ability to vary the magnetic field makes the FCI similar to having multiple scanners in one, extracting more diverse and detailed information than traditional MRI systems. A study published in the journal Radiology shows that the stroke area resulting from a blocked blood vessel in the brain generates a consistently different signal from a normal brain at very low magnetic field strengths – a factor of 10,000 lower compared to traditional MRI and 100 times lower than other low field systems. The researchers are now planning the continuation of the study on stroke using the next design iteration of their field-cycling technology to bring its benefits to patients and health services worldwide.
“Our initial findings are very exciting, as they reflect the first step to producing a device that would be safe and small enough to put in an ambulance so that stroke patients can have a diagnosis and start treatment before they reach hospital,” said Professor Mary Joan MacLeod, Professor of Stroke Medicine. “We have also shown that the new scanner can also identify bleeds in the brain, and changes in the small blood vessels which might lead to dementia. We know that there are lots of other exciting potential applications for this technology in areas such as cancer and bone disease.”
Latest General/Advanced Imaging News
- AI Reduces CT Lung Cancer Screening Workload by Almost 80%
- Cutting-Edge Technology Combines Light and Sound for Real-Time Stroke Monitoring
- AI System Detects Subtle Changes in Series of Medical Images Over Time
- New CT Scan Technique to Improve Prognosis and Treatments for Head and Neck Cancers
- World’s First Mobile Whole-Body CT Scanner to Provide Diagnostics at POC
- Comprehensive CT Scans Could Identify Atherosclerosis Among Lung Cancer Patients
- AI Improves Detection of Colorectal Cancer on Routine Abdominopelvic CT Scans
- Super-Resolution Technology Enhances Clinical Bone Imaging to Predict Osteoporotic Fracture Risk
- AI-Powered Abdomen Map Enables Early Cancer Detection
- Deep Learning Model Detects Lung Tumors on CT
- AI Predicts Cardiovascular Risk from CT Scans
- Deep Learning Based Algorithms Improve Tumor Detection in PET/CT Scans
- New Technology Provides Coronary Artery Calcification Scoring on Ungated Chest CT Scans
- Deep Learning Model Accurately Diagnoses COPD Using Single Inhalation Lung CT Scan
- AI Model Reconstructs Sparse-View 3D CT Scan With Much Lower X-Ray Dose
- AI Tool Offers Opportunistic Screening for Heart Disease Using Repurposed CT Scans
Channels
Radiography
view channel
AI-Powered Mammography Screening Boosts Cancer Detection in Single-Reader Settings
A new study has revealed that an artificial intelligence (AI)-powered solution significantly improves cancer detection in single-reader mammography settings without increasing recall rates, offering a... Read more
Photon Counting Detectors Promise Fast Color X-Ray Images
For many years, healthcare professionals have depended on traditional 2D X-rays to diagnose common bone fractures, though small fractures or soft tissue damage, such as cancers, can often be missed.... Read moreMRI
view channel
Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
Artificial intelligence (AI) technologies are transforming the way medical images are analyzed, offering unprecedented capabilities in quantitatively extracting features that go beyond traditional visual... Read more
First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
Each year, approximately 800,000 people in the U.S. experience strokes, with marginalized and minoritized groups being disproportionately affected. Strokes vary in terms of size and location within the... Read moreUltrasound
view channel
Artificial Intelligence Detects Undiagnosed Liver Disease from Echocardiograms
Echocardiography is a diagnostic procedure that uses ultrasound to visualize the heart and its associated structures. This imaging test is commonly used as an early screening method when doctors suspect... Read more
Ultrasound Imaging Non-Invasively Tracks Tumor Response to Radiation and Immunotherapy
While immunotherapy holds promise in the fight against triple-negative breast cancer, many patients fail to respond to current treatments. A major challenge has been predicting and monitoring how individual... Read moreNuclear Medicine
view channel
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read more
Innovative PET Imaging Technique to Help Diagnose Neurodegeneration
Neurodegenerative diseases, such as amyotrophic lateral sclerosis (ALS) and Alzheimer’s disease, are often diagnosed only after physical symptoms appear, by which time treatment may no longer be effective.... Read moreImaging IT
view channel
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
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more