Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Joint phase reconstruction and magnitude segmentation from
  velocity-encoded MRI data   Velocity-encoded MRI is an imaging technique used in different areas to
assess flow motion. Some applications include medical imaging such as
cardiovascular blood flow studies, and industrial settings in the areas of
rheology, pipe flows, and reactor hydrodynamics, where the goal is to
characterise dynamic components of some quantity of interest. The problem of
estimating velocities from such measurements is a nonlinear dynamic inverse
problem. To retrieve time-dependent velocity information, careful mathematical
modelling and appropriate regularisation is required. In this work, we propose
an optimisation algorithm based on non-convex Bregman iteration to jointly
estimate velocity-, magnitude- and segmentation-information for the application
of bubbly flow imaging. Furthermore, we demonstrate through numerical
experiments on synthetic and real data that the joint model improves velocity,
magnitude and segmentation over a classical sequential approach.

10
The categories of this paper are: q-bio
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th
25
The categories of this paper are: patt-sol
28
The categories of this paper are: alg-geom
6
The categories of this paper are: astro-ph
3
The categories of this paper are: physics
18
The categories of this paper are: econ
21
The categories of this paper are: adap-org
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
34
The categories of this paper are: chem-ph
13
The categories of this paper are: quant-ph
23
The categories of this paper are: solv-int
15
The categories of this paper are: nucl-ex