Next-Gen MEG Scanners Worn as Helmet Could Detect Brain Abnormalities at POC
By MedImaging International staff writers Posted on 19 Jul 2022 |

Diamond is already used for sensing magnetic fields, where the amount of light that comes from quantum defects in the diamond changes with the strength of the magnetic field. The problem with today’s approach is that most of that light is lost. Now, an international research team has developed a laser-based diamond sensor that can measure magnetic fields up to 10 times more precisely than standard techniques. The innovation could help improve on existing magnetic-field sensing techniques for mapping brain activity to identify disorders.
Today’s magnetoencephalography, or MEG, technology is very sensitive, but also bulky, expensive to install and needs to operate at ultra-cold temperatures with liquid helium and patients must remain still. MEG technology based on the new diamond-laser sensor developed jointly by scientists at the Fraunhofer Institute for Applied Solid State Physics (IAF, Freiburg, Germany) and RMIT University (Melbourne, Australia) would be much smaller than today’s devices, would operate at room temperature and could be fitted to patients who can move around. With this, scientists have taken a promising step towards a new generation of accurate, affordable and portable devices to detect concussion, epilepsy and dementia. With sufficient funding and collaboration with industry, a proof-of-concept device using the new sensor could be developed within five years.
“Our breakthrough was to make a laser from the defects,” said Professor Andrew Greentree, an RMIT expert in diamond sensing technology. “By collecting all the light – instead of just a small amount of it – we can detect the magnetic field 10 times more precisely with our sensor compared with current best practice.”
“Current MEG machines are huge devices, with dedicated facilities, and they require magnetic shielding around them as well,” added Greentree. “We really want to have something that we can place on a patient's head and we want them to be able to move around – and there’d be no need for expensive liquid helium to operate such a device.”
Related Links:
IAF
RMIT University
Latest General/Advanced Imaging News
- AI-Powered Imaging System Improves Lung Cancer Diagnosis
- AI Model Significantly Enhances Low-Dose CT Capabilities
- Ultra-Low Dose CT Aids Pneumonia Diagnosis in Immunocompromised Patients
- 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
Channels
Radiography
view channel
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read more
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read moreMRI
view channel
AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
Multiple sclerosis (MS) is a condition in which the immune system attacks the brain and spinal cord, leading to impairments in movement, sensation, and cognition. Magnetic Resonance Imaging (MRI) markers... Read more
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read more
AI-Powered MRI Technology Improves Parkinson’s Diagnoses
Current research shows that the accuracy of diagnosing Parkinson’s disease typically ranges from 55% to 78% within the first five years of assessment. This is partly due to the similarities shared by Parkinson’s... Read more
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 moreUltrasound
view channel
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read more
Novel Imaging Method Enables Early Diagnosis and Treatment Monitoring of Type 2 Diabetes
Type 2 diabetes is recognized as an autoimmune inflammatory disease, where chronic inflammation leads to alterations in pancreatic islet microvasculature, a key factor in β-cell dysfunction.... Read moreNuclear Medicine
view channel
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read more
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 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
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
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