Dr. F. J. Romero Hinrichsen (ETH Zurich, Schweiz)
Monday, May 28, 2018 - 14:00
Mohrenstr. 39, 10117 Berlin, Erhard-Schmidt-Hörsaal, Erdgeschoss
Joint Research Seminar on Nonsmooth Variational Problems and Operator Equations / Mathematical Optimization
Recently there has been a successful development in ultrasound imaging, increasing significantly the sampling rate and therefore enhancing this imaging's capacities. In particular, for vessel imaging, the use of microbubble tracking allows us to super-resolve blood vessels, and by estimating the particles' speeds inside them, it is possible to calculate the vessels' diameters. In this context, we model the microbubble tracking problem, formulating it in terms of a sparse spike recovery problem in the phase space (the position and velocity space), that allows us to obtain simultaneously the speed of the microbubbles and their location. This leads to an L1 minimization algorithm for point source tracking, that promises to be faster than current alternatives.
submitted by lohse (jutta.lohse@wias-berlin.de, 030 20372587)