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Photoacoustic signal enhancement using a novel adaptive filtering algorithm
Author(s): Mohsin Zafar; Rayyan Manwar; Karl Kratkiewicz; Matin Hosseinzadeh; Ali Hariri; Shahryar Noei; Mohammad Avanaki
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Paper Abstract

Photoacoustic (PA) signal experiences excessive background noise when generated using cost-effective, low-energy laser diodes. A denoising technique is essential in this case. Averaging is a common approach to increase the Signal-to-Noise Ratio (SNR) of PA signals. This technique requires numbers of data acquisition in hundreds and thousands and hence, demands more hardware and time consuming at the same time. Here, an adaptive method based on Adaptive Line Enhancers (ALE) algorithm to improve the SNR of PA signals has been presented. Our results validate the feasibility of the usage of an adaptive method and also indicate excellent improvement in terms of increasing the SNR of the PA signals. Additionally, this proposed algorithm requires way less number of acquisitions as compared to the conventional averaging techniques that leads to faster PA image processing.

Paper Details

Date Published: 6 March 2019
PDF: 8 pages
Proc. SPIE 10878, Photons Plus Ultrasound: Imaging and Sensing 2019, 108785S (6 March 2019); doi: 10.1117/12.2510557
Show Author Affiliations
Mohsin Zafar, Wayne State Univ. (United States)
Rayyan Manwar, Wayne State Univ. (United States)
Karl Kratkiewicz, Wayne State Univ. (United States)
Matin Hosseinzadeh, Sharif Univ. of Technology (Iran, Islamic Republic of)
Ali Hariri, Wayne State Univ. (United States)
Shahryar Noei, Sharif Univ. of Technology (Iran, Islamic Republic of)
Mohammad Avanaki, Wayne State Univ. (United States)
Wayne State Univ. School of Medicine (United States)
Barbara Ann Karmanos Cancer Institute (United States)


Published in SPIE Proceedings Vol. 10878:
Photons Plus Ultrasound: Imaging and Sensing 2019
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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