In this presentation we address the dynamic concentration reconstruction problem in magnetic particle imaging. The tradeoff between the signal-to-noise ratio in the processed data used for the reconstruction and the concentration dynamics of the tracer requires sophisticated reconstruction techniques to avoid motion artifacts. We incorporate motion priors in the concentration reconstruction and as an extra we can obtain an estimate for a flow field.
%0 Conference Paper
%1 kluth2019spatiotemporal
%A Kluth, T.
%A Hahn, B. N.
%A Brandt, C.
%B Proc. Int. Workshop Magnetic Particle Imaging
%D 2019
%K from:tobiasholicki
%T Spatio-temporal concentration reconstruction using motion priors in magnetic particle imaging
%X In this presentation we address the dynamic concentration reconstruction problem in magnetic particle imaging. The tradeoff between the signal-to-noise ratio in the processed data used for the reconstruction and the concentration dynamics of the tracer requires sophisticated reconstruction techniques to avoid motion artifacts. We incorporate motion priors in the concentration reconstruction and as an extra we can obtain an estimate for a flow field.
@inproceedings{kluth2019spatiotemporal,
abstract = {In this presentation we address the dynamic concentration reconstruction problem in magnetic particle imaging. The tradeoff between the signal-to-noise ratio in the processed data used for the reconstruction and the concentration dynamics of the tracer requires sophisticated reconstruction techniques to avoid motion artifacts. We incorporate motion priors in the concentration reconstruction and as an extra we can obtain an estimate for a flow field.},
added-at = {2020-04-22T18:24:59.000+0200},
author = {Kluth, T. and Hahn, B. N. and Brandt, C.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2a708ee6f0c05265a99abbed3ff6efdbd/oip},
booktitle = {Proc. Int. Workshop Magnetic Particle Imaging},
interhash = {892a37dad98017bbaab3f3635f521c35},
intrahash = {a708ee6f0c05265a99abbed3ff6efdbd},
keywords = {from:tobiasholicki},
timestamp = {2020-04-22T16:24:59.000+0200},
title = {Spatio-temporal concentration reconstruction using motion priors in magnetic particle imaging},
year = 2019
}