SPEAKER : Prof. Krishna Nayak, University of Southern
TITLE: Diagnostic Real-Time Magnetic Resonance Imaging (MRI)
DATE: Thursday, November 23, 2017
TIME: 03:30 PM
VENUE: Room 102, CDS Seminar Hall (First Floor)
ALL ARE CORDIALLY INVITED
This talk will introduce MRI technology, and recent advances that have made it possible to acquire and reconstruct images in real-time. I will show how real-time imaging provides diagnostic value when it captures the content of interest (requiring spatiotemporal resolution and contrast), and when it provides the ability to interact (requiring low-latency reconstruction). These have both historically been a limitation for MRI due to the slow encoding process, need to wait for relaxation/recovery, and time-consuming reconstruction. This talk will summarize how we overcome these limitations, and will summarize several current and futuristic diagnostic applications of RT-MRI.
I will then describe some of the other projects in my laboratory at the University of Southern California. Our overall goal is to develop non-invasive imaging methods that provide new insights into the inner workings of the human body and provide new and potentially important diagnostic information. We focus on magnetic resonance imaging (MRI), which is a relatively young modality with incredible untapped potential due to its flexibility and diverse set of contrast mechanisms. Magnetic resonance imaging and reconstruction is deeply rooted in electromagnetics, Fourier transform theory, and signal processing, which is why many advances in the field have come from Electrical Engineering. Our most significant contributions to date have been in the sub-field of pulse sequence design, involving the design of electromagnetic pulses and pulse timings that interact with the nuclei of interest to generate useful tissue contrast and to enable faster imaging.
MRI has experienced major leaps in speed, resolution, and sensitivity, and I expect the utilization of MRI to dramatically increase in the next decade, from being primarily used for neuro and musculoskeletal applications, to having a major role in the diagnosis and assessment of cardiovascular diseases, diabetes, and obesity, among other things. To help drive this change and to develop imaging methods that have the most broad impact, our research is done in active collaboration with other domain experts (typically non-engineers, e.g. cardiologists, radiologists, oncologists, surgeons, obesity researchers, and linguists).
Biography of the Speaker:
Krishna Nayak is a Professor
(c) Department of Computational and Data Sciences, Indian Institute of Science, 2018