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Authors: Dornoosh Zonoobi ; Shahrooz Faghigh roohi and Ashraf. A. Kassim

Affiliation: National University of Singapore, Singapore

ISBN: 978-989-758-072-7

Keyword(s): Low-rank and Sparse Matrix Decomposition, a-priori knowledge, Dynamic 3D MRI, Image Reconstruction, Compressive Sensing.

Related Ontology Subjects/Areas/Topics: Bioimaging ; Biomechanical Imaging ; Biomedical Engineering ; Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Health Engineering and Technology Applications ; Image Processing Methods ; Magnetic Resonance Imaging ; NeuroSensing and Diagnosis ; Neurotechnology, Electronics and Informatics

Abstract: It has been recently shown that incorporating priori knowledge significantly improves the performance of basic compressive sensing based approaches. We have managed to successfully exploit this idea for recovering a matrix as a summation of a Low-rank and a Sparse component from compressive measurements. When applied to the problem of construction of 4D Cardiac MR image sequences in real-time from highly under-sampled k-space data, our proposed method achieves superior reconstruction quality compared to the other state-of-the-art methods.

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Paper citation in several formats:
Zonoobi, D.; Faghigh roohi, S. and Kassim, A. (2015). Low-rank and Sparse Matrix Decomposition with a-priori Knowledge for Dynamic 3D MRI Reconstruction.In Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2015) ISBN 978-989-758-072-7, pages 82-88. DOI: 10.5220/0005228800820088

@conference{bioimaging15,
author={Dornoosh Zonoobi. and Shahrooz Faghigh roohi. and Ashraf. A. Kassim.},
title={Low-rank and Sparse Matrix Decomposition with a-priori Knowledge for Dynamic 3D MRI Reconstruction},
booktitle={Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2015)},
year={2015},
pages={82-88},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005228800820088},
isbn={978-989-758-072-7},
}

TY - CONF

JO - Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2015)
TI - Low-rank and Sparse Matrix Decomposition with a-priori Knowledge for Dynamic 3D MRI Reconstruction
SN - 978-989-758-072-7
AU - Zonoobi, D.
AU - Faghigh roohi, S.
AU - Kassim, A.
PY - 2015
SP - 82
EP - 88
DO - 10.5220/0005228800820088

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