A Novel Multi-Angle Spatial Compounding Methodology Towards High-Resolution PMUT-Based Imaging

This work proposes an innovative multi-angle image compounding scheme using a Lead Zirconate Titanate (PZT) piezoelectric Micromachined Ultrasonic Transducer (PMUT) array towards clutter attenuation and speckle artifact suppression. Two 3× 3 mm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> dies of an 18-channel 1D-array PMUT, whose resonant frequency is 6.5 MHz, were employed for this demonstration. The proposed spatial compounding methodology is based on the aggregation of intermediate images from emitting plane wave at various directions (i.e., reconstructed at different angles) to enhance image quality by steering the beam of the phased array. In addition, a novel algorithm for crosstalk suppression is also proposed here based on Sliding Window Autocorrelation. The proposed signal processing pipeline is validated experimentally demonstrating an impressive performance with significant SNR gains of up to 20dB and highly accurate reflector localization considering a 3 mm-diameter reflector as close as 4 mm to the PMUT array. The impressive experimental results highlight the suitability of the proposed compounding methodology for medical imaging and industrial applications, e.g., NDT and structural health monitoring, underwater acoustics and sonar imaging.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-01-01
DOI
https://doi.org/10.1109/jsen.2025.3572119
Citations
1
Primary Topic
Medical Imaging and Pathology Studies
Type
article
Field-Weighted Citation Impact
1.52
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article

A Novel Multi-Angle Spatial Compounding Methodology Towards High-Resolution PMUT-Based Imaging

Alberto Leotti, Carla Maria Lazzari, Yul Koh, David Sze Wai Choong et al.
1 citations
IEEE Sensors Journal
Medical Imaging and Pathology Studies
1.52
article

A Novel Multi-Angle Spatial Compounding Methodology Towards High-Resolution PMUT-Based Imaging

Alberto Leotti, Carla Maria Lazzari, Yul Koh, David Sze Wai Choong, Duan Jian Goh, Mantalena Sarafianou, Domenico Giusti, Gaia Giubilei, Jason Zhigang Jia
article en
1 citations

Abstract

This work proposes an innovative multi-angle image compounding scheme using a Lead Zirconate Titanate (PZT) piezoelectric Micromachined Ultrasonic Transducer (PMUT) array towards clutter attenuation and speckle artifact suppression. Two 3× 3 mm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> dies of an 18-channel 1D-array PMUT, whose resonant frequency is 6.5 MHz, were employed for this demonstration. The proposed spatial compounding methodology is based on the aggregation of intermediate images from emitting plane wave at various directions (i.e., reconstructed at different angles) to enhance image quality by steering the beam of the phased array. In addition, a novel algorithm for crosstalk suppression is also proposed here based on Sliding Window Autocorrelation. The proposed signal processing pipeline is validated experimentally demonstrating an impressive performance with significant SNR gains of up to 20dB and highly accurate reflector localization considering a 3 mm-diameter reflector as close as 4 mm to the PMUT array. The impressive experimental results highlight the suitability of the proposed compounding methodology for medical imaging and industrial applications, e.g., NDT and structural health monitoring, underwater acoustics and sonar imaging.

IEEE Sensors Journal
Agency for Science, Technology and Research (SG), Northeastern University (US), Institute of Microelectronics (SG), STMicroelectronics (Singapore) (SG), STMicroelectronics (Italy) (IT)
Openalex Percentile: Top 18%
Medical Imaging and Pathology Studies
1.52
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A Novel Multi-Angle Spatial Compounding Methodology Towards High-Resolution PMUT-Based Imaging — Alberto Leotti, Carla Maria Lazzari, et al. · IEEE Sensors Journal (2025) | TGRS Research Map | TGRS