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 proceedingConference contribution

1 Citation (Scopus)


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 languageEnglish
Title of host publicationApplied Reconfigurable Computing: Architectures, Tools, and Applications: 18th International Symposium, ARC 2022, Proceedings
EditorsLin Gan, Yu Wang, Wei Xue, Thomas Chau
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages15
ISBN (Print)9783031199820
Publication statusPublished - 27 Oct 2022
Event18th International Symposium on Applied Reconfigurable Computing, ARC 2022 - Virtual, Online
Duration: 19 Sept 202220 Sept 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13569 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference18th International Symposium on Applied Reconfigurable Computing, ARC 2022
CityVirtual, Online

Bibliographical note

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


  • Field programmable gate array
  • Surgical imaging

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


Dive into the research topics of 'Multi-spectral in-vivo FPGA-based surgical imaging'. Together they form a unique fingerprint.

Cite this