MRI scans are a common way to diagnose different conditions, such as liver disease and brain tumors. However, patients have to stay still during the scan to avoid blurry images and the need for a new scan. A new prototype device has been developed to address this issue. It is a self-powered sensor that can detect movement and stop the MRI scan in real time, which improves the overall process for both patients and technicians.
During an MRI scan, it is crucial for the patient to remain completely still in order to avoid any blurring of the images that would necessitate a new scan. However, a new prototype device featured in ACS Sensors may change this. The device is able to detect movement and immediately stop an MRI scan, improving the process for both patients and technicians.
For a clear picture, it is essential to identify patient movement as soon as it occurs, allowing the scan to be halted and a new one to be taken by the technician. This can be achieved through motion tracking using sensors.The MRI table requires sensors to be embedded into it, however, traditional magnetic materials cannot be used because they interfere with the MRI technology. To address this issue, the team of Li Tao, Zhiyi Wu, and colleagues developed a sensor using triboelectric nanogenerator (TENG) technology. The TENG sensor utilizes static electricity generated by friction between polymers, eliminating the need for metal or magnetic components. This unique sensor aims to prevent motion artifacts in MRI machines. The TENG was created by layering two plastic films coated with graphite-based conductive ink.The sensor used a combination of plastic film, conductive ink, and silicone to ensure that it would not interfere with MRI scans. When the plastic film and conductive ink were pressed together, it created a current that could flow through a wire. This sensor was integrated into an MRI table for patients to lay on, specifically under the head. During tests, the sensor successfully detected movements when the patient turned their head or raised it off the table. This information was then transmitted to a computer, triggering an alert and pausing the MRI scan.Researchers suggest that their work has the potential to improve MRI scans by generating better images in a more efficient and less frustrating manner for both patients and technicians.
