Passive cavitation mapping for biomedical applications using higher order delay multiply and sum beamformer with linear complexity

Ultrasound-induced cavitation can be used in various biomedical therapies, including localized drug delivery, sonoporation, gene transfer, noninvasive sonothrombolysis, lithotripsy, and histotripsy. It can also enhance thermal ablation of tumors and facilitate trans-blood-brain-barrier treatments. Accurate monitoring of cavitation activity, including dose and location, is essential for the safe and effective application of these therapies. Passive cavitation mapping (PCM) is a key technique used to achieve this. However, conventional Delay and Sum (DAS) beamforming methods suffer from low resolution and high side-lobe levels in standard diagnostic ultrasound transducer, limiting their effectiveness or are computationally expensive, in the case of robust capon beamformer (RCB). To address these challenges, we propose a higher-order nonlinear Delay Multiply and Sum (DMAS) beamformer for improved passive cavitation mapping. Our approach utilizes a novel implementation with linear complexity, using a determinant from symmetrical polynomials. Simulation and experimental results demonstrate that the proposed method enhances both axial and lateral point spread function, resolution and increasing image quality, while exhibiting linear complexity. These improvements suggest that higher-order nonlinear beamforming is a promising advancement for more accurate and reliable cavitation monitoring in biomedical applications.

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Publication Details

Journal
Ultrasonics
Published
2025-04-08
DOI
https://doi.org/10.1016/j.ultras.2025.107653
Citations
5
Primary Topic
Ultrasound Imaging and Elastography
Type
article
Field-Weighted Citation Impact
6.80
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article

Passive cavitation mapping for biomedical applications using higher order delay multiply and sum beamformer with linear complexity

H. Ermert, Martin Vossiek, Stefan Lyer, Ingrid Ullmann et al.
5 citations
Ultrasonics
Ultrasound Imaging and Elastography
6.80
article

Passive cavitation mapping for biomedical applications using higher order delay multiply and sum beamformer with linear complexity

H. Ermert, Martin Vossiek, Stefan Lyer, Ingrid Ullmann, Christian Marinus Huber, Nicole Dorsch
article en
5 citations

Abstract

Ultrasound-induced cavitation can be used in various biomedical therapies, including localized drug delivery, sonoporation, gene transfer, noninvasive sonothrombolysis, lithotripsy, and histotripsy. It can also enhance thermal ablation of tumors and facilitate trans-blood-brain-barrier treatments. Accurate monitoring of cavitation activity, including dose and location, is essential for the safe and effective application of these therapies. Passive cavitation mapping (PCM) is a key technique used to achieve this. However, conventional Delay and Sum (DAS) beamforming methods suffer from low resolution and high side-lobe levels in standard diagnostic ultrasound transducer, limiting their effectiveness or are computationally expensive, in the case of robust capon beamformer (RCB). To address these challenges, we propose a higher-order nonlinear Delay Multiply and Sum (DMAS) beamformer for improved passive cavitation mapping. Our approach utilizes a novel implementation with linear complexity, using a determinant from symmetrical polynomials. Simulation and experimental results demonstrate that the proposed method enhances both axial and lateral point spread function, resolution and increasing image quality, while exhibiting linear complexity. These improvements suggest that higher-order nonlinear beamforming is a promising advancement for more accurate and reliable cavitation monitoring in biomedical applications.

UltrasonicsVol. 153
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Universitätsklinikum Erlangen (DE), Else Kröner-Fresenius-Stiftung (DE)
Openalex Percentile: Top 3%
Ultrasound Imaging and Elastography
6.80
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Passive cavitation mapping for biomedical applications using higher order delay multiply and sum beamformer with linear complexity — H. Ermert, Martin Vossiek, et al. · Ultrasonics (2025) | TGRS Research Map | TGRS