ULTRA-SR Challenge: Assessment of Ultrasound Localization and TRacking Algorithms for Super-Resolution Imaging

Marcelo Lerendegui, Kai Riemer, Georgios Papageorgiou, Bingxue Wang, Lachlan Arthur, Arthur Chavignon, Tao Zhang, Olivier Couture, Pingtong Huang, Md Ashikuzzaman, Stefanie Dencks, Chris Dunsby, Brandon Helfield, Jørgen Arendt Jensen, Thomas Lisson, Matthew R. Lowerison, Hassan Rivaz, Anthony E. Samir, Georg Schmitz, Scott SchoenRuud van Sloun, Pengfei Song, Tristan Stevens, Jipeng Yan, Vassilis Sboros, Meng-Xing Tang

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Abstract

With the widespread interest and uptake of super-resolution ultrasound (SRUS) through localization and tracking of microbubbles, also known as ultrasound localization microscopy (ULM), many localization and tracking algorithms have been developed. ULM can image many centimeters into tissue in-vivo and track microvascular flow non-invasively with sub-diffraction resolution. In a significant community effort, we organized a challenge, Ultrasound Localization and TRacking Algorithms for Super-Resolution (ULTRA-SR). The aims of this paper are threefold: to describe the challenge organization, data generation, and winning algorithms; to present the metrics and methods for evaluating challenge entrants; and to report results and findings of the evaluation. Realistic ultrasound datasets containing microvascular flow for different clinical ultrasound frequencies were simulated, using vascular flow physics, acoustic field simulation and nonlinear bubble dynamics simulation. Based on these datasets, 38 submissions from 24 research groups were evaluated against ground truth using an evaluation framework with six metrics, three for localization and three for tracking. In-vivo mouse brain and human lymph node data were also provided, and performance assessed by an expert panel. Winning algorithms are described and discussed. The publicly available data with ground truth and the defined metrics for both localization and tracking present a valuable resource for researchers to benchmark algorithms and software, identify optimized methods/software for their data, and provide insight into the current limits of the field. In conclusion, Ultra-SR challenge has provided benchmarking data and tools as well as direct comparison and insights for a number of the state-of-the art localization and tracking algorithms.
Original languageEnglish
JournalIEEE Transactions on Medical Imaging
DOIs
Publication statusE-pub ahead of print - 12 Apr 2024

Keywords

  • Benchmark testing
  • CEUS
  • Challenge
  • Imaging
  • Localization
  • Location awareness
  • Measurement
  • Microbubble
  • SRUS
  • Software algorithms
  • Spatial resolution
  • Super-resolution
  • Three-dimensional displays
  • Tracking
  • ULM
  • Ultrasonic imaging
  • Ultrasound

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Electrical and Electronic Engineering
  • Computer Science Applications

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