Magnetic Resonance Imaging: Designing Optimal SSFP Pulse--Sequences for Tissue Quantification
by Dr Renata Sotirov
Abstract: Are you interested to find out how Magnetic Resonance Imaging works? Do you want to see the inside of the human body? What does maths have to do with that?
In this seminar we address the above mentioned issues and much more. We formulate an optimization problem for deriving the design variables that are used in MRI. Our non-convex, nonlinear, semidefinite optimization problem compute the steady-state free precision (SSFP) pulse-sequence variables by minimizing the error in the reconstructed tissue densities. For solving the problem, we develop a sequential, semidefinite, trust-region algorithm.
Using obtained design variables, we are able to separate tissue types which could not be separated up to date. Our approach is applicable for quantification of arbitrary number of tissues.
For More Information: Emma Lockwood tel. 8344-1617 email: email@example.com