This self-powered sensor (circled in yellow) attached to a headrest within an MRI machine could help make imaging collection more efficient by detecting patient movement in real time.

This self-powered sensor (circled in yellow) attached to a headrest within an MRI machine could help make imaging collection more efficient by detecting patient movement in real time. Adapted from ACS Sensors 2024, DOI: 10.1021/acssensors.4c00319


June 3, 2024 — MRI scans are commonly used to diagnose a variety of conditions, anything from liver disease to brain tumors. But, as anyone who has been through one knows, patients must remain completely still to avoid blurring the images and requiring a new scan. A prototype device described in ACS Sensors could change that. The self-powered sensor detects movement and shuts down an MRI scan in real time, improving the process for patients and technicians.

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. So, Li Tao, Zhiyi Wu and colleagues wanted to design a TENG-based sensor that could be incorporated into an MRI machine to help prevent motion artifacts.

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.

For more information: www.acs.org


Related Content

News | Computed Tomography (CT)

SPONSORED CONTENT — Fujifilm’s latest CT technology brings exceptional image quality to a compact and user- and patient ...

Time August 06, 2024
arrow
News | Radiology Business

July 31, 2024 — The American Registry of Radiologic Technologists (ARRT) announced the three Registered Technologists (R ...

Time July 31, 2024
arrow
Feature | Computed Tomography (CT) | By Melinda Taschetta-Millane

In the ever-evolving landscape of medical imaging, computed tomography (CT) stands out as a cornerstone technology ...

Time July 30, 2024
arrow
Videos | Radiology Business

Find actionable insights to achieve sustainability and savings in radiology in this newest of ITN’s “One on One” video ...

Time July 30, 2024
arrow
Feature | Radiology Business | By Christine Book

Across the healthcare industry, and, notably, throughout the radiology community in just the past few years, the focus ...

Time July 26, 2024
arrow
Feature | Mobile C-Arms | By Melinda Taschetta-Millane

Mobile C-arms continue to revolutionize medical imaging, offering versatility, mobility and real-time visualization ...

Time July 26, 2024
arrow
News | Radiology Business

July 25, 2024 — Immunis, Inc., a clinical-stage biotech developing groundbreaking secretome therapeutics for age and ...

Time July 25, 2024
arrow
News | RSNA

July 23, 2024 — Professional registration is open for RSNA 2024, the world’s largest radiology forum. This year’s theme ...

Time July 23, 2024
arrow
News | Artificial Intelligence

July 23, 2024 — Researchers at the National Institutes of Health (NIH) found that an artificial intelligence (AI) model ...

Time July 23, 2024
arrow
News | Artificial Intelligence

July 22, 2024 — Healthcare artificial intelligence (AI) systems provider, Qure.ai, has announced its receipt of a Class ...

Time July 22, 2024
arrow
Subscribe Now