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Authors: Metin Calis 1 ; Massimo Mischi 2 ; Alle-Jan Van Der Veen 1 and Borbála Hunyadi 1

Affiliations: 1 Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, 2628 CD Delft, The Netherlands ; 2 Department of Electrical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands

Keyword(s): Multilinear Singular Value Decomposition, Dynamic Contrast-enhanced Ultrasound, Prostate Cancer, Tensor Decomposition.

Abstract: The recent advances in three-dimensional imaging of contrast-enhanced ultrasound acquisitions enable the characterization of the tissue with a single intravenous injection of microbubbles. Many cancer markers have been extended to cover for the three-dimensional contrast ultrasound. However, most of the signal denoising algorithms do not exploit the added dimensionality and vectorize the spatial dimensions, causing a loss of information about the location of the voxels. This paper proposes a denoising algorithm based on the multilinear singular value decomposition and compares it to the singular value decomposition. The ranks are estimated based on information-theoretic criteria, and improved performance has been observed for modeling the time-intensity curves.

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Paper citation in several formats:
Calis, M.; Mischi, M.; Van Der Veen, A. and Hunyadi, B. (2022). Denoising of Dynamic Contrast-enhanced Ultrasound Sequences: A Multilinear Approach. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - BIOSIGNALS; ISBN 978-989-758-552-4; ISSN 2184-4305, SciTePress, pages 192-199. DOI: 10.5220/0010838000003123

@conference{biosignals22,
author={Metin Calis. and Massimo Mischi. and Alle{-}Jan {Van Der Veen}. and Borbála Hunyadi.},
title={Denoising of Dynamic Contrast-enhanced Ultrasound Sequences: A Multilinear Approach},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - BIOSIGNALS},
year={2022},
pages={192-199},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010838000003123},
isbn={978-989-758-552-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - BIOSIGNALS
TI - Denoising of Dynamic Contrast-enhanced Ultrasound Sequences: A Multilinear Approach
SN - 978-989-758-552-4
IS - 2184-4305
AU - Calis, M.
AU - Mischi, M.
AU - Van Der Veen, A.
AU - Hunyadi, B.
PY - 2022
SP - 192
EP - 199
DO - 10.5220/0010838000003123
PB - SciTePress

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