Acoustic hologram optimisation using automatic differentiation

Abstract Acoustic holograms are the keystone of modern acoustics. They encode three-dimensional acoustic fields in two dimensions, and their quality determines the performance of acoustic systems. Optimisation methods that control only the phase of an acoustic wave are considered inferior to methods...

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Autores principales:	Tatsuki Fushimi, Kenta Yamamoto, Yoichi Ochiai
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/02339f83e9bc4ec19744ec40804c964d
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id	oai:doaj.org-article:02339f83e9bc4ec19744ec40804c964d
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spelling	oai:doaj.org-article:02339f83e9bc4ec19744ec40804c964d2021-12-02T17:23:03ZAcoustic hologram optimisation using automatic differentiation10.1038/s41598-021-91880-22045-2322https://doaj.org/article/02339f83e9bc4ec19744ec40804c964d2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-91880-2https://doaj.org/toc/2045-2322Abstract Acoustic holograms are the keystone of modern acoustics. They encode three-dimensional acoustic fields in two dimensions, and their quality determines the performance of acoustic systems. Optimisation methods that control only the phase of an acoustic wave are considered inferior to methods that control both the amplitude and phase of the wave. In this paper, we present Diff-PAT, an acoustic hologram optimisation platform with automatic differentiation. We show that in the most fundamental case of optimizing the output amplitude to match the target amplitude; our method with only phase modulation achieves better performance than conventional algorithm with both amplitude and phase modulation. The performance of Diff-PAT was evaluated by randomly generating 1000 sets of up to 32 control points for single-sided arrays and single-axis arrays. This optimisation platform for acoustic hologram can be used in a wide range of applications of PATs without introducing any changes to existing systems that control the PATs. In addition, we applied Diff-PAT to a phase plate and achieved an increase of > 8 dB in the peak noise-to-signal ratio of the acoustic hologram.Tatsuki FushimiKenta YamamotoYoichi OchiaiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Tatsuki Fushimi Kenta Yamamoto Yoichi Ochiai Acoustic hologram optimisation using automatic differentiation
description	Abstract Acoustic holograms are the keystone of modern acoustics. They encode three-dimensional acoustic fields in two dimensions, and their quality determines the performance of acoustic systems. Optimisation methods that control only the phase of an acoustic wave are considered inferior to methods that control both the amplitude and phase of the wave. In this paper, we present Diff-PAT, an acoustic hologram optimisation platform with automatic differentiation. We show that in the most fundamental case of optimizing the output amplitude to match the target amplitude; our method with only phase modulation achieves better performance than conventional algorithm with both amplitude and phase modulation. The performance of Diff-PAT was evaluated by randomly generating 1000 sets of up to 32 control points for single-sided arrays and single-axis arrays. This optimisation platform for acoustic hologram can be used in a wide range of applications of PATs without introducing any changes to existing systems that control the PATs. In addition, we applied Diff-PAT to a phase plate and achieved an increase of > 8 dB in the peak noise-to-signal ratio of the acoustic hologram.
format	article
author	Tatsuki Fushimi Kenta Yamamoto Yoichi Ochiai
author_facet	Tatsuki Fushimi Kenta Yamamoto Yoichi Ochiai
author_sort	Tatsuki Fushimi
title	Acoustic hologram optimisation using automatic differentiation
title_short	Acoustic hologram optimisation using automatic differentiation
title_full	Acoustic hologram optimisation using automatic differentiation
title_fullStr	Acoustic hologram optimisation using automatic differentiation
title_full_unstemmed	Acoustic hologram optimisation using automatic differentiation
title_sort	acoustic hologram optimisation using automatic differentiation
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/02339f83e9bc4ec19744ec40804c964d
work_keys_str_mv	AT tatsukifushimi acoustichologramoptimisationusingautomaticdifferentiation AT kentayamamoto acoustichologramoptimisationusingautomaticdifferentiation AT yoichiochiai acoustichologramoptimisationusingautomaticdifferentiation
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Acoustic hologram optimisation using automatic differentiation

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