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Parallel Approaches to Digital Signal Processing Algorithms with Applications in Medical Imaging

Kapinchev, Konstantin, Bradu, Adrian, Podoleanu, Adrian G.H. (2019) Parallel Approaches to Digital Signal Processing Algorithms with Applications in Medical Imaging. In: Wysocki, Tadeusz and Wysocki, Beata, eds. 2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS). 2019, 13th International Conference on Signal Processing and Communication Systems, (ICSPCS). . IEEE ISBN 978-1-72812-195-6. E-ISBN 978-1-72812-194-9. (doi:10.1109/ICSPCS47537.2019.9008720) (KAR id:80930)

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https://doi.org/10.1109/ICSPCS47537.2019.9008720

Abstract

This paper reviews established and emerging parallel technologies, which are employed to enhance the performance of digital signal processing algorithms. Special attention is paid to algorithms with applications in medical imaging. Parallel implementations of some of the most commonly used algorithms, such as Fourier transforms, convolution and cross-correlation are discussed. Parallel optimization of a newly introduced method in optical coherence tomography is presented. Its performance, in terms of latency, is presented and discussed.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/ICSPCS47537.2019.9008720
Uncontrolled keywords: parallel computing, digital signal processing, medical imaging, optical coherence tomography
Subjects: Q Science
Divisions: Faculties > Sciences > School of Physical Sciences
Depositing User: Adrian Podoleanu
Date Deposited: 20 Apr 2020 12:58 UTC
Last Modified: 21 Apr 2020 08:51 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/80930 (The current URI for this page, for reference purposes)
Bradu, Adrian: https://orcid.org/0000-0002-6890-1599
Podoleanu, Adrian G.H.: https://orcid.org/0000-0002-4899-9656
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