Coherence Factor Based Beamformer with Plane Wave Compounding

Ke Yang, Tongtong Zhao, Peter Hoskins, Chunming Xia (Lead / Corresponding author), George Corner, Zhihong Huang

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


In recent years, plane wave ultrasound has received significant research interest due to its high frame rate capabilities. The image quality of plane wave ultrasound imaging is largely influenced by beamformer performance. Coherent plane wave compounding has been developed as a method to enhance image quality through the coherent summation of data from various transmission angles. Additionally, coherence factor-based beamformers have been developed to improve image contrast. In this study, we investigated the impact of compounding on three types of coherence-based beamformers using ultrasound simulations and phantom experiments. The results demonstrated that coherence factor beamformers, generalized coherence beamformers, and phase coherence beamformers achieve higher image quality in terms of lateral resolution, contrast ratio and generalized contrast to noise ratio as the number of compounding angles increases. These results suggest that plane wave compounding can enhance the image quality of coherence-based beamformers.

Original languageEnglish
Title of host publicationICBBT '23
Subtitle of host publicationProceedings of the 2023 15th International Conference on Bioinformatics and Biomedical Technology
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Number of pages7
ISBN (Electronic)9798400700385
Publication statusPublished - 7 Nov 2023
EventICBBT 2023: 15th International Conference on Bioinformatics and Biomedical Technology, ICBBT 2023 - Xi'an, China
Duration: 26 May 202328 May 2023
Conference number: 15


ConferenceICBBT 2023
Abbreviated titleICBBT
Internet address


  • coherence factor
  • plane wave compounding
  • Ultrasound imaging

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software


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