Multi-spectral in-vivo FPGA-based surgical imaging

Majed Alsharari; Lorenzo Niemitz; Simon Sorensen; Roger Woods; Ray Burke; Stefan Andersson Engels; Carlos Reaño; Son T. Mai

doi:10.1007/978-3-031-19983-7_8

Multi-spectral in-vivo FPGA-based surgical imaging

Majed Alsharari^*, Lorenzo Niemitz, Simon Sorensen, Roger Woods, Ray Burke, Stefan Andersson Engels, Carlos Reaño, Son T. Mai

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Intelligent and adaptive in-vivo, catheter-based imaging systems with enhanced processing and analytical capability have the potential to enhance surgical operations and improve patient care. The paper describes an intelligent surgical imaging system based on a ‘chip on tip’, which reduces the need for conventional imaging. The associated embedded system provides real-time, in-vivo imaging analysis and data display for surgeons, enhancing their ability to detect clinically significant tissue. The paper presents initial work on an field programmable gate array implementation of a contrast limited adaptive histogram equalization algorithm, Hessian matrix construction and region of interest function on the AMD-Xilinx’s Kria KV260 board. It outlines optimizations undertaken to reduce the BRAMs by 38%, DSP48 blocks by 80%, flip-flops by 33% and LUTs by 36%, thus creating a design operating at 121 FPS.

Original language	English
Title of host publication	Applied Reconfigurable Computing: Architectures, Tools, and Applications: 18th International Symposium, ARC 2022, Proceedings
Editors	Lin Gan, Yu Wang, Wei Xue, Thomas Chau
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	103-117
Number of pages	15
ISBN (Print)	9783031199820
DOIs	https://doi.org/10.1007/978-3-031-19983-7_8
Publication status	Published - 27 Oct 2022
Event	18th International Symposium on Applied Reconfigurable Computing, ARC 2022 - Virtual, Online Duration: 19 Sept 2022 → 20 Sept 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13569 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th International Symposium on Applied Reconfigurable Computing, ARC 2022
City	Virtual, Online
Period	19/09/2022 → 20/09/2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Field programmable gate array
Surgical imaging

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-031-19983-7_8Licence: Unspecified

Cite this

Alsharari, M., Niemitz, L., Sorensen, S., Woods, R., Burke, R., Engels, S. A., Reaño, C., & Mai, S. T. (2022). Multi-spectral in-vivo FPGA-based surgical imaging. In L. Gan, Y. Wang, W. Xue, & T. Chau (Eds.), Applied Reconfigurable Computing: Architectures, Tools, and Applications: 18th International Symposium, ARC 2022, Proceedings (pp. 103-117). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13569 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-19983-7_8

Alsharari, Majed ; Niemitz, Lorenzo ; Sorensen, Simon et al. / Multi-spectral in-vivo FPGA-based surgical imaging. Applied Reconfigurable Computing: Architectures, Tools, and Applications: 18th International Symposium, ARC 2022, Proceedings. editor / Lin Gan ; Yu Wang ; Wei Xue ; Thomas Chau. Springer Science and Business Media Deutschland GmbH, 2022. pp. 103-117 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Intelligent and adaptive in-vivo, catheter-based imaging systems with enhanced processing and analytical capability have the potential to enhance surgical operations and improve patient care. The paper describes an intelligent surgical imaging system based on a {\textquoteleft}chip on tip{\textquoteright}, which reduces the need for conventional imaging. The associated embedded system provides real-time, in-vivo imaging analysis and data display for surgeons, enhancing their ability to detect clinically significant tissue. The paper presents initial work on an field programmable gate array implementation of a contrast limited adaptive histogram equalization algorithm, Hessian matrix construction and region of interest function on the AMD-Xilinx{\textquoteright}s Kria KV260 board. It outlines optimizations undertaken to reduce the BRAMs by 38%, DSP48 blocks by 80%, flip-flops by 33% and LUTs by 36%, thus creating a design operating at 121 FPS.",

keywords = "Field programmable gate array, Surgical imaging",

author = "Majed Alsharari and Lorenzo Niemitz and Simon Sorensen and Roger Woods and Ray Burke and Engels, {Stefan Andersson} and Carlos Rea{\~n}o and Mai, {Son T.}",

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Alsharari, M, Niemitz, L, Sorensen, S, Woods, R, Burke, R, Engels, SA, Reaño, C & Mai, ST 2022, Multi-spectral in-vivo FPGA-based surgical imaging. in L Gan, Y Wang, W Xue & T Chau (eds), Applied Reconfigurable Computing: Architectures, Tools, and Applications: 18th International Symposium, ARC 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13569 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 103-117, 18th International Symposium on Applied Reconfigurable Computing, ARC 2022, Virtual, Online, 19/09/2022. https://doi.org/10.1007/978-3-031-19983-7_8

Multi-spectral in-vivo FPGA-based surgical imaging. / Alsharari, Majed; Niemitz, Lorenzo; Sorensen, Simon et al.
Applied Reconfigurable Computing: Architectures, Tools, and Applications: 18th International Symposium, ARC 2022, Proceedings. ed. / Lin Gan; Yu Wang; Wei Xue; Thomas Chau. Springer Science and Business Media Deutschland GmbH, 2022. p. 103-117 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13569 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Alsharari, Majed

AU - Niemitz, Lorenzo

AU - Sorensen, Simon

AU - Woods, Roger

AU - Burke, Ray

AU - Engels, Stefan Andersson

AU - Reaño, Carlos

AU - Mai, Son T.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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A2 - Xue, Wei

A2 - Chau, Thomas

PB - Springer Science and Business Media Deutschland GmbH

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ER -

Alsharari M, Niemitz L, Sorensen S, Woods R, Burke R, Engels SA et al. Multi-spectral in-vivo FPGA-based surgical imaging. In Gan L, Wang Y, Xue W, Chau T, editors, Applied Reconfigurable Computing: Architectures, Tools, and Applications: 18th International Symposium, ARC 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 103-117. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-19983-7_8

Multi-spectral in-vivo FPGA-based surgical imaging

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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