High-level synthesis for medical image processing on Systems on Chip: a case study

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

3 Citations (Scopus)
157 Downloads (Pure)

Abstract

Adaptive radiotherapy is a technique intended to increase the accuracy of radiotherapy. Currently, it is not clinically feasible due to the time required to process the images of patient anatomy. Hardware acceleration of image processing algorithms may allow them to be carried out in a clinically acceptable timeframe. This paper presents the experiences encountered using high-level synthesis tools to design an accelerated segmentation algorithm for computed tomography images targeted for implementation on a System on Chip. Hardware coprocessors and their interfaces for optimal threshold generation and 3D mean filter algorithms were synthesised from C++ functions. Hardware acceleration significantly outperformed the software only implementation. The high-level synthesis tools allowed the rapid exploration of different design options. However, hardware design knowledge was still necessary in order to interpret the results effectively.
Original languageEnglish
Title of host publication2016 26th International Conference on Field Programmable Logic and Applications (FPL), 2016
Place of PublicationLausanne
Number of pages2
DOIs
Publication statusPublished - 29 Sep 2016
Event26th International Conference on Field-Programmable Logic and Applications - SwissTech Convention Centre, Lausanne, Switzerland
Duration: 30 Aug 20161 Sep 2016
http://www.fpl2016.org

Conference

Conference26th International Conference on Field-Programmable Logic and Applications
Abbreviated titleFPL 2016
CountrySwitzerland
CityLausanne
Period30/08/161/09/16
Internet address

    Fingerprint

Keywords

  • high level synthesis
  • FPGA
  • system on chip
  • medical imaging

Cite this

Robinson, F. D., Crockett, L. H., Nailon, W. H., & Stewart, R. W. (2016). High-level synthesis for medical image processing on Systems on Chip: a case study. In 2016 26th International Conference on Field Programmable Logic and Applications (FPL), 2016 Lausanne. https://doi.org/10.1109/FPL.2016.7577390