Taking advantage of IoT technology, this project allows for use of a suite of wireless sensors that can be used inside of the MRI bore safely to capture more information about the patient in and out of the MRI scan.
Leanna Pancoast1, Douglas Brantner1, Jerzy Walzcyk1, Ryan Brown1, Roy Wiggins1
The temporal resolution in MRI can be too slow to track respiratory or bulk subject motion. Auxiliary sensors have been developed to track motion with high temporal resolution, but can require cumbersome cabling. In this work, we describe an MRI-compatible wireless accelerometer data acquisition platform. This platform can potentially be expanded to include other sensors as well, such as an IMU or pulse oximeter to capture other sorts of information from the patient as well.
1Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, 10016, USA