Improved microbubble (MB) Localisation Using Particle Detecting algorithm: Evaluation of Algorithm Performance for Different Beamforming Methods

Vasiliki Voulgaridou, Barbara Nicolas, Steven McDougall, Lachlan Arthur, Evangelos Kanoulas, Weiping Lu, Konstantinos Diamantis, Jørgen Arendt Jensen, Vassilis Sboros

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

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Abstract

The performance of image analysis techniques (particle detection) on contrast enhanced ultrasound (CEUS) images could be enhanced by using it in combination with the right beamformer (BF). The current study investigates the best performing combination of a particle detecting algorithm (Kanoulas et al. 2019) with four beamformers (BFs), classical and adaptive. In a series of in silico experiments, adjacent MBs are placed in distances comparable to the lateral resolution limit, the CEUS images of the MBs were simulated in FieldII, and finally beamformed with the four methods. The images were processed with the MB detection algorithm and the results were evaluated by the true detections (TD), missed MBs, spurious detections, and localisation uncertainty (LU). For the smallest distances all methods deteriorate but the MV methods provided 4-12% more TD. For the intermediate distances the TD were comparable for all BFs but the adaptive methods provided lower LU. When a set of evaluation metrics is used, the adaptive methods provide marginally but systematically improved results which suggests that, under the appropriate imaging conditions, they could be used to enhance vessel mapping.
Original languageEnglish
Title of host publication2020 IEEE International Ultrasonics Symposium (IUS)
PublisherIEEE
ISBN (Electronic)9781728154480
DOIs
Publication statusPublished - 17 Nov 2020
Event2020 IEEE International Ultrasonics Symposium - Las Vegas, United States
Duration: 7 Sep 202011 Sep 2020

Publication series

NameIEEE International Ultrasonics Symposium (IUS)
ISSN (Electronic)1948-5727

Conference

Conference2020 IEEE International Ultrasonics Symposium
Abbreviated titleIUS 2020
CountryUnited States
CityLas Vegas
Period7/09/2011/09/20

Keywords

  • Beamforming
  • Image-processing
  • Medical
  • Microbubble tracking
  • Resolution

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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