Minimum-variance Hilbert transform based delay-multiply and sum beamforming for photoacoustic array image reconstruction

Chun-Hsien Chiang; Meng-Lin Li

doi:10.1117/12.2651031

27 March 2023 Minimum-variance Hilbert transform based delay-multiply and sum beamforming for photoacoustic array image reconstruction

Chun-Hsien Chiang, Meng-Lin Li

Author Affiliations +

Proceedings Volume PC12379, Photons Plus Ultrasound: Imaging and Sensing 2023; PC1237923 (2023) https://doi.org/10.1117/12.2651031
Event: SPIE BiOS, 2023, San Francisco, California, United States

Conference Poster

Abstract

In this study, a computationally efficient integration of delay-multiply-and-sum (DMAS) photoacoustic (PA) image reconstruction and minimum-variance beamformation (MV), named as MV-HDMAS, is developed to drastically improve the lateral resolution and suppress sidelobes; thus significantly improving the contrast. Here, a novel Hilbert transform based DMAS (H-DMAS) is adopted, which allows seamless integration with MV. MV here is used to optimize the aperture apodization for H-DMAS. No oversampling and band pass filtering as in radio frequency DMAS are required. Experimental results confirm not only the superior lateral resolution in the proposed MV-HDMAS but also comparable image contrast to DMAS counterpart.

Citation Download Citation

Chun-Hsien Chiang and Meng-Lin Li "Minimum-variance Hilbert transform based delay-multiply and sum beamforming for photoacoustic array image reconstruction", Proc. SPIE PC12379, Photons Plus Ultrasound: Imaging and Sensing 2023, PC1237923 (27 March 2023); https://doi.org/10.1117/12.2651031

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