Novel Technologies for Accelerated MRI

Title: Novel Technologies for Accelerated MRI

Abstract: MRI is a ubiquitously used gross imaging modality in clinical settings. However, its long scan time and the requirement that patients remain still dramatically limit its applications. In this talk, we will discuss several new technologies for accelerating MRI. We will discuss an application of the Fast Fourier Transform that reconstructs an image with a non-rectangular field-of-view. Since less area is to be reconstructed, less data is required. We will discuss a limitation in how compressed sensing is currently combined with partial Fourier sampling, and we will show that by incorporating homodyne detection into this combination, image quality improves. We will discuss the current limitations of deep learning reconstruction algorithms, and we will prove that we can limit the errors created with these methods by enforcing data consistency. To increase applicability, we will present a computationally efficient method of enforcing data consistency in the parallel imaging setting. Finally, we will describe our future plans, where these methods are all combined for extremely fast 3D MRI of fetuses and placentas, which will severely limit the opportunity for any fetal motion during the scan. This will enable in utero diagnosis and provide physicians the necessary insight to be prepared for emergency surgery upon birth, when necessary.

Bio: Dr. Nicholas Dwork is an assistant professor at University of Colorado | Anschutz Medical Campus with a primary position in the department of biomedical informatics, a secondary position in the department of radiology, and an affiliate faculty member of the department of applied mathematics at University of Colorado Boulder. He received a PhD in electrical engineering from Stanford University in 2019 focused on medical imaging. His research interests include medical imaging reconstruction, quantitation, and fast implementations. He is currently conducting research on Magnetic Resonance Imaging, Optical Coherence Tomography, and Optical Projection Tomography.

*** The event will take place in a hybrid format. The location for in-person attendance will be room 3427 EECS. Attendance will also be available via Zoom.

Join Zoom Meeting: https://umich.zoom.us/j/91414297851

Meeting ID: 914 1429 7851

Passcode: XXX (Will be sent via email to attendees)

Zoom Passcode information is available upon request to Kristi Rieger ([email protected]).