Abstract

This project features the development of a novel, high-performance, low-field Magnetic Resonance Imaging (MRI) system. The system is designed to enable groundbreaking research in imaging technology, as well as in the science and technology of human spoken communication and the science of sleep, that is not possible with any conventional MRI configuration. The work includes developing signal processing methods for MRI that enable rapid imaging in low signal-to-noise ratio environments. This will alleviate artifacts that occur at air-tissue interfaces, which will make it possible to track tissue boundaries with high precision during dynamic imaging studies, particularly those adjacent to air space such as the tongue, velum, and pharyngeal airway, which are not easily accessible by other instrumentation. The new MRI system will also have a much lower level of acoustic noise than conventional systems, making …

Date

2018

Authors

Krishna S Nayak, Shrikanth S Narayanan, Dani Byrd, Khalil Iskarous, Justin P Haldar

Journal

NSF Award

Volume

18

Issue

1828736

Pages

28736