Wavelet-based protoacoustic signal denoising for proton range verification

James Sohn; Wei Nie; Stephen M. Avery; Xiuxiu He; Jun Zhou; Xiaofeng Yang; Tian Liu

doi:10.1117/12.2550768

16 March 2020 Wavelet-based protoacoustic signal denoising for proton range verification

James Sohn, Wei Nie, Stephen M. Avery, Xiuxiu He, Jun Zhou, Xiaofeng Yang, Tian Liu

Proceedings Volume 11319, Medical Imaging 2020: Ultrasonic Imaging and Tomography; 1131904 (2020) https://doi.org/10.1117/12.2550768
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States

Abstract

Protoacoustics, the measurement of the pressure waves emitted by thermal expansion resulting from proton dose deposition, may be used to obtain the depth of the Bragg-peak (BP) by measuring the time-of-flight of the pressure wave. However, using the method in the clinic has a drawback since numerous measured signals were averaged to identify the accurate signal peak from the indistinguishable noises. We proposed a wavelet-based denoising method to significantly reduce noise in collected protoacoustic signals and improve the BP identification accuracy with fewer signal averages. The average 1024 signal, which has been used in the published study, was used as the reference to identify the accurate acoustic location. We used Daubechies (db) 4 wavelet transform to decompose the collected signals to recover the useful protoacoustic signals. Our approach was able to identify the BP signal up to the average 8 signals that correspond to the dose (<1.5 Gy). This denoising technique would be useful for future 2D/3D protoacoustic imaging and make protoacoustic clinically useful for proton range verification.

Conference Presentation

Citation Download Citation

James Sohn, Wei Nie, Stephen M. Avery, Xiuxiu He, Jun Zhou, Xiaofeng Yang, and Tian Liu "Wavelet-based protoacoustic signal denoising for proton range verification", Proc. SPIE 11319, Medical Imaging 2020: Ultrasonic Imaging and Tomography, 1131904 (16 March 2020); https://doi.org/10.1117/12.2550768

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