Events Calendar

Algorithms for Parameter Estimation in Quantitative MRI

Speaker: Marcus Björk, PhD, Division of Systems & Control, Uppsala University

Talk Title: Algorithms for Parameter Estimation in Quantitative MRI

Series: Medical Imaging Seminar Series

Abstract: Through advanced signal processing, MRI can provide quantitative measures of tissue-specific physical properties. The optimization problems solved in quantitative MRI are typically nonlinear, and require intelligent and application-specific algorithms to avoid suboptimal local minima. In this presentation, several methods for efficiently solving different parameter estimation problems in MRI, such as multi-component T2 relaxometry, and minimizing banding artifacts in bSSFP MRI due to field inhomogeneity, are presented. Finally, I will present some interesting problems for the future. The corresponding PhD thesis is available at:
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-246537


Biography: Dr. Marcus Bjork is a Researcher in the division of Systems and Control at Uppsala University, in Professor Peter Stoica's group. He defended his PhD thesis last year. His main field of research is signal processing, with application to Magnetic Resonance Imaging (MRI). By modeling the MR signal and estimating the model parameters from data, measures of tissue-specific physical properties can be obtained. The optimization problems solved are typically nonlinear, and require intelligent and application-specific algorithms to avoid suboptimal local minima. Designing such algorithms is a challenging research problem.

Host: Professor Krishna Nayak

Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

Audiences: Everyone Is Invited

Contact: Talyia White