Real Time Synthetic Aperture and Plane Wave Ultrasound Imaging with the Xilinx VERSAL™ SIMD-VLIW Architecture

Giulio Corradi , Jørgen Arendt Jensen

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Abstract

A decade of technological improvement in SystemOn-Chip (SoC) integrated with Field Programmable Gate Arrays (FPGAs) have made it possible to successfully productize traditional ultrasound systems, especially portable ones. However, advanced modalities like Synthetic Aperture (SA) and Plane Wave (PW) Ultrafast imaging with their many advantages have not been targeted because of the sheer computing performance required for the ultrasound pipelines in real-time. Very large vector processers (DSPs and GPUs) solves some of the problems, but it runs into traditional scaling challenges due to inflexible, inefficient memory bandwidth usage and high-power consumption. Traditional FPGA solutions provide a programmable memory hierarchy, but the hardware development flow has been a barrier to broad, highvolume adoption. The need for low power and high performance must be explored beyond the conventional “one size fits all” CPU scalar processing solution for Ultrafast imaging to be a viable option. This paper presents a new technology called ‘Adaptive Compute Acceleration Platform’ (ACAP) on Xilinx’s Versal™ system, which has the capability of making real time SA and PW Ultrafast imaging possible.
Original languageEnglish
Title of host publication2020 IEEE International Ultrasonics Symposium
Number of pages4
PublisherIEEE
Publication date2020
ISBN (Print)978-1-7281-5449-7
ISBN (Electronic)978-1-7281-5448-0
DOIs
Publication statusPublished - 2020
Event2020 IEEE International Ultrasonics Symposium - Virtual symposium, Las Vegas, United States
Duration: 6 Sep 202011 Sep 2020
https://2020.ieee-ius.org/

Conference

Conference2020 IEEE International Ultrasonics Symposium
LocationVirtual symposium
Country/TerritoryUnited States
CityLas Vegas
Period06/09/202011/09/2020
Internet address

Keywords

  • Ultrasound
  • Plane wave
  • Synthetic aperture
  • Image reconstruction
  • FPGA

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