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.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Self-Powered Sensor to Make MRIs More Efficient

By MedImaging International staff writers
Posted on 03 Jun 2024
Print article
Image: The self-powered sensor (circled in yellow) attached to a headrest within an MRI machine detects patient movement in real time (Photo courtesy of ACS Sensors 2024, DOI: 10.1021/acssensors.4c00319)
Image: The self-powered sensor (circled in yellow) attached to a headrest within an MRI machine detects patient movement in real time (Photo courtesy of ACS Sensors 2024, DOI: 10.1021/acssensors.4c00319)

MRI scans are commonly used to diagnose a variety of conditions, anything from liver disease to brain tumors. During an MRI scan, a patient must stay entirely still for several minutes at a time, otherwise “motion artifacts” could appear and blur the final image. To ensure a clear picture, patient movement needs to be identified as soon as it happens, allowing the scan to stop and for the technician to take a new one. Motion tracking could be achieved using sensors embedded into the MRI table; however, magnetic materials can’t be used because metals interfere with the MRI technology itself. One technology that’s well-suited for this unique situation, and avoids the need for metal or magnetic components, is the triboelectric nanogenerator (TENG), which powers itself using static electricity generated by friction between polymers. Now, researchers have designed a TENG-based sensor that could be incorporated into an MRI machine to help prevent motion artifacts.

The self-powered sensor developed by researchers at the Chinese Academy of Sciences (Beijing, China) detects movement and shuts down an MRI scan in real time, improving the process for patients and technicians. The team created the TENG by sandwiching two layers of plastic film painted with graphite-based conductive ink around a central layer of silicone. These materials were specifically chosen as they would not interfere with an MRI scan. When pressed together, electrostatic charges from the plastic film moved to the conductive ink, creating a current that could then flow out through a wire.

This sensor was incorporated into an MRI table designed to lay under a patient’s head. In tests, when a person turned their head from side to side or raised it off the table, the sensor detected these movements and transmitted a signal to a computer. Then, an audible alert played, a pop-up window on the technician’s computer appeared and the MRI scan ceased. The researchers say that this work could help make MRI scans more efficient and less frustrating for patients and technicians alike by producing better images during a single procedure.

Related Links:
Chinese Academy of Sciences

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Color Doppler Ultrasound System
DCU50
Compact C-Arm
Arcovis DRF-C S21
New
1.5T Superconducting MRI System
uMR 680

Print article
Radcal

Channels

Radiography

view channel
Image: 3D cinematic renderings of the control and diseased heart in anatomic orientation (Photo courtesy of ESRF)

Innovative X-Ray Technique Captures Human Heart with Unprecedented Detail

Cardiovascular disease remains the leading cause of death globally. In 2019, ischemic heart disease, which weakens the heart due to reduced blood supply, accounted for approximately 8.9 million or 16%... Read more

Ultrasound

view channel
Image: The new FDA-cleared AI-enabled applications have been integrated into the EPIQ CVx and Affiniti CVx ultrasound systems (Photo courtesy of Royal Philips)

Next-Gen AI-Enabled Cardiovascular Ultrasound Platform Speeds Up Analysis

Heart failure is a significant global health challenge, affecting approximately 64 million individuals worldwide. It is associated with high mortality rates and poor quality of life, placing a considerable... Read more

General/Advanced Imaging

view channel
Image: HeartFlow Plaque Analysis leverages cutting-edge AI for assessment of plaque quantity and composition (Photo courtesy of HeartFlow, Inc.)

Next Gen Interactive Plaque Analysis Platform Assesses Patient Risk in Suspected Coronary Artery Disease

A first-of-its-kind plaque analysis tool to be fully integrated with FFRCT (when FFRCT is performed) provides impactful insights that enhance clinical decision-making and enable personalized patient treatment... 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

Industry News

view channel
Image: The new collaborations aim to further advance AI foundation models for medical imaging (Photo courtesy of Microsoft)

Microsoft collaborates with Leading Academic Medical Systems to Advance AI in Medical Imaging

Medical imaging is a critical component of healthcare, with health systems spending roughly USD 65 billion annually on imaging alone, and about 80% of all hospital and health system visits involve at least... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.