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Events for June 04, 2018
Mon, Jun 04, 2018
Viterbi School of Engineering Undergraduate Admission
Workshops & Infosessions
This half day program is designed for prospective first-year students (High School juniors and younger) and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.
Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.
Please make sure to check availability and register online for the session you wish to attend. Reservations are required for the Meet USC program.
Also, remember to list an Engineering major as your "intended major" on the webform!
>> Register for a Meet USC Session
Audiences: Prospective Undergrads and Families
Contact: Viterbi Admission
Mon, Jun 04, 2018 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Daeun Kim, Electrical Engineering, University of Southern California
Talk Title: High-dimensional Magnetic Resonance Imaging of Microsctucture
Series: Medical Imaging Seminar Series
Abstract: Microstructure imaging in MRI represents imaging approaches to infer biological tissue properties at the cellular level (i.e., microscopic scale) from a macroscopic imaging voxel. Conventional approaches to microstructure imaging have focused on unmixng sub-voxel compartments that are present within each voxel of MR images acquired with a single MR contrast mechanism such as diffusion or relaxation. However, unambiguously distinguishing between these sub-voxel compartments continues to be challenging with conventional methods due to the ill-posedness of the inverse problem.
This work aims at developing a novel high-dimensional MRI method to provide substantially improved abilities of resolving microstructural compartments. A main idea of the method is to use high-dimensional contrast encoding with multiple MR contrast mechanisms (e.g., both diffusion and relaxation) combined with spatially-constrained reconstruction to improve the ill-posedness. In the context of the high-dimensional MRI method, we present 1) a novel experiment design scheme, 2) estimation and optimization strategies and 3) validation and application.
Biography: Daeun Kim is a PhD candidate in Electrical Engineering at University of Southern California, supervised by Professor Justin Haldar. She received her B.S. and M.S. degrees in Electronic and Electrical Engineering at Ewha Womans University, South Korea. Her research focuses on multidimensional signal processing for microstructure imaging in MRI. Her recent work was recognized as one of the most top ten popular abstract at the International Society for Magnetic Resonance in Medicine (ISMRM) in 2016, and won the 1st Place Award for Best Abstract Presentation at the Quantitative MR Study Group of the ISMRM in 2017. She is also a recipient of the USC Alfred E. Mann Innovation in Engineering Doctoral Fellowship and the USC WiSE Merit Award for Current Doctoral Students in 2017.
Host: Professor Justin Haldar
Audiences: Everyone Is Invited
Contact: Talyia White