The application of RPCA on reconstruction of dynamic magnetic resonance image

DOI

10.2991/icadme-16.2016.89How to use a DOI?

Keywords

RPCA, DMRI, FIST, image reconstruction.

Abstract

The model of robust principal component analysis(RPCA) is built for dynamic magnetic resonance image(DMRI) reconstruction in order to better extract the dynamic part of the cine cardiac tissue. This model decomposes the cardiac magnetic resonance image into sparse part and low-rank part by solving a convex optimization problem mathematically. Fast iterative soft thresholding(FIST) technique is used for faster image reconstruction and simulation results show that clear edge structures with higher spatial and temporal resolution can be guaranteed.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yonghong Liu
AU  - Jian Jiao
AU  - Jicheng Chen
PY  - 2017/07
DA  - 2017/07
TI  - The application of RPCA on reconstruction of dynamic magnetic resonance image
BT  - Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 522
EP  - 527
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-16.2016.89
DO  - 10.2991/icadme-16.2016.89
ID  - Liu2017/07
ER  -