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Spectroscopic photoacoustic denoising framework using hybrid analytical and data-free learning method.

Fangzhou Lin1, Shang Gao1, Yichuan Tang1

  • 1Department of Robotics Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA 01609, USA.

Photoacoustics
|May 26, 2025
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Summary
This summary is machine-generated.

Spectroscopic photoacoustic (sPA) imaging noise is reduced with the novel SPADE framework. This hybrid method enhances signal-to-noise ratio and preserves spectral data for accurate quantitative imaging.

Keywords:
Data-freeDenoisingIn vivo demonstrationMultiwavelengthPhotoacoustic imagingQuantitative Imaging

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Area of Science:

  • Medical imaging
  • Biomedical optics
  • Photoacoustic imaging

Background:

  • Spectroscopic photoacoustic (sPA) imaging quantifies chromophores using spectral absorption.
  • PA imaging is prone to noise, reducing signal-to-noise ratio (SNR) and spectral unmixing accuracy.
  • Existing denoising methods have limitations, including impracticality for dynamic imaging and dependence on training data.

Purpose of the Study:

  • To develop a novel denoising framework for spectroscopic photoacoustic imaging.
  • To address challenges of noise, low SNR, and spectral information preservation in PA imaging.
  • To create a clinically adaptable method that does not require extensive training data.

Main Methods:

  • Proposed the Spectroscopic Photoacoustic Denoising (SPADE) framework.
  • Integrated a data-free learning-based method with an efficient BM3D-based analytical approach.
  • Validated SPADE through simulation, phantom, in vivo, and ex vivo studies.

Main Results:

  • SPADE improved image SNR by over 15 dB in high noise scenarios.
  • Preserved spectral information with a correlation coefficient (R) greater than 0.8.
  • Outperformed conventional denoising methods, particularly in low SNR conditions.

Conclusions:

  • SPADE offers a promising solution for noise reduction in quantitative PA imaging.
  • The framework effectively preserves spectral integrity and functional information.
  • SPADE enhances the accuracy and clinical applicability of PA imaging where noise is a concern.