We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

MedImaging

Download Mobile App
Recent News Radiography MRI Ultrasound Nuclear Medicine General/Advanced Imaging Imaging IT Industry News

Next-Gen MEG Scanners Worn as Helmet Could Detect Brain Abnormalities at POC

By MedImaging International staff writers
Posted on 19 Jul 2022
Print article
Image: A laser interaction with diamond materials (Photo courtesy of RMIT University)
Image: A laser interaction with diamond materials (Photo courtesy of RMIT University)

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 

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
1.5T MRI System
uMR 670
Ultrasound System
Acclarix AX9
New
Breast Imaging Workstation
SecurView

Print article

Channels

Ultrasound

view channel
Image: The powerful machine learning algorithm can “interpret” echocardiogram images and assess key findings (Photo courtesy of 123RF)

Largest Model Trained On Echocardiography Images Assesses Heart Structure and Function

Foundation models represent an exciting frontier in generative artificial intelligence (AI), yet many lack the specialized medical data needed to make them applicable in healthcare settings.... Read more

Nuclear Medicine

view channel
Image: The multi-spectral optoacoustic tomography (MSOT) machine generates images of biological tissues (Photo courtesy of University of Missouri)

New Imaging Technique Monitors Inflammation Disorders without Radiation Exposure

Imaging inflammation using traditional radiological techniques presents significant challenges, including radiation exposure, poor image quality, high costs, and invasive procedures. Now, new contrast... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

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