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Authors: Arban Uka 1 ; Gerald Topalli 2 ; Julian Hoxha 1 and Nihal Engin Vrana 3

Affiliations: 1 Department of Computer Engineering, Epoka University, Tirane, Albania ; 2 Department of Electronics and Communication Engineering, Istanbul Technical University, Istanbul, Turkey ; 3 Spartha Medical, Strasbourg, France

Keyword(s): FPGA, Real-time Systems, Medical Image Analysis.

Abstract: Real time analysis of images is an inherent expectation of the medical imaging research area. Monitoring of important medical data requires the acquisition of high-quality images at a high rate. Nowadays many experiments are conducted on multiwell culture plates to determine the influence of different physical and chemical conditions on a specific biological sample. Often the medical practitioners need to supervise the complete data acquisition process in order to ensure the collection of reliable data. For this reason, some pre-processing steps including noise removal, contrast enhancement and preliminary edge detection needs to be implemented in real time. Here in this work we review important contribution on the implementation of filters on FPGAs and report runtime of 8 ms for images sized 1000x1000 pixels when two or more filters are applied subsequently.

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Paper citation in several formats:
Uka, A.; Topalli, G.; Hoxha, J. and Vrana, N. (2021). FPGA Implementation of Filters in Medical Imaging. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIODEVICES; ISBN 978-989-758-490-9; ISSN 2184-4305, SciTePress, pages 195-200. DOI: 10.5220/0010392600002865

@conference{biodevices21,
author={Arban Uka. and Gerald Topalli. and Julian Hoxha. and Nihal Engin Vrana.},
title={FPGA Implementation of Filters in Medical Imaging},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIODEVICES},
year={2021},
pages={195-200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010392600002865},
isbn={978-989-758-490-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIODEVICES
TI - FPGA Implementation of Filters in Medical Imaging
SN - 978-989-758-490-9
IS - 2184-4305
AU - Uka, A.
AU - Topalli, G.
AU - Hoxha, J.
AU - Vrana, N.
PY - 2021
SP - 195
EP - 200
DO - 10.5220/0010392600002865
PB - SciTePress

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