Communication Dans Un Congrès Année : 2023

Hyperuniform Disordered Sparse Array For 3D Ultrasound Imaging

Résumé

The main challenge in 3D ultrasound imaging using 2D matrix arrays is the huge number of elements that need to be individually controlled to produce a high-quality image. Sparse arrays approach tackles this problem by optimally distributing a reduced number of elements over a 2D aperture while preserving a decent image quality. These arrays can be divided into two groups: optimized arrays and random arrays. Whether optimized or random elements distribution, a good sparse array design is a one that produces a beam pattern yielding the best performances in terms of resolution, sidelobes level (SLL) and grating lobes level (GLL). In this work, we present a new method for the design of sparse arrays based on hyperuniformity disorder (HUD), an exotic amorphous state of matter that has been recently discovered which covers the regime between random and periodic structures. The performance of this new method is compared with the well-known Fermat's spiral array. With proper tuning, the HUD array demonstrates good performance in terms of SLL (e.g. -28.7 dB).

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hal-04941986 , version 1 (12-02-2025)

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Mohamed Tamraoui, Emmanuel Roux, Hervé Liebgott. Hyperuniform Disordered Sparse Array For 3D Ultrasound Imaging. 2023 IEEE International Ultrasonics Symposium (IUS), Sep 2023, Montreal, France. pp.1-4, ⟨10.1109/IUS51837.2023.10308368⟩. ⟨hal-04941986⟩
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