Automated Characterization of Matrix Transducer Arrays using the Verasonics Imaging System

Djalma Simoes Dos Santos, Fabian Fool, Taehoon Kim, Emile Noothout, Nuriel Rozsa, Hendrik J. Vos, Johan G. Bosch, Michiel A.P. Pertijs, Martin D. Verweij, Nico De Jona

Research output: Contribution to journalConference articleAcademicpeer-review

1 Citation (Scopus)


Over the past decades, ultrasound imaging has made considerable progress based on the advancement of imaging systems as well as transducer technology. With the need for advanced transducer arrays with complex designs and technical requirements, there is also a need for suitable tools to characterize such transducers. However, despite the importance of acoustic characterization to assess the performance of novel transducer arrays, the characterization process of highly complex transducers might involve various manual steps, which are laborious, time-consuming, and subject to errors. These factors can hinder the full characterization of a prototype transducer, leading to an under-representation or inadequate evaluation. To come to an extensive, high-quality evaluation of a prototype transducer, the acoustic characterization of each transducer element is indispensable in both transmit and receive operations. In this paper, we propose a pipeline to automatically perform the acoustic characterization of a matrix transducer using a research imaging system. The performance of the pipeline is tested on a prototype matrix transducer consisting of 960 elements. The results show that the proposed pipeline is capable of performing the complete acoustic characterization of a high-element count transducer in a fast and convenient way.

Original languageEnglish
JournalIEEE International Ultrasonics Symposium, IUS
Publication statusPublished - 2022
Event2022 IEEE International Ultrasonics Symposium, IUS 2022 - Venice, Italy
Duration: 10 Oct 202213 Oct 2022

Bibliographical note

Funding Information:
This research is a part of the PUMA and ULTRA-X-TREME projects (project numbers 13154 and P17-32, respectively), which are financed by the Netherlands Organization for Scientific Research (NWO).

Publisher Copyright:
© 2022 IEEE.


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