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Circular-scanning variance delay and sum algorithm for photoacoustic imaging.

Zhicheng Wang1, Zijun Xi1, Qian Song1

  • 1School of Information Science and Technology, ShanghaiTech University, Shanghai, 201210, China.

Biomedical Optics Express
|April 13, 2026
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Summary
This summary is machine-generated.

A new Variance Delay-and-Sum (VDAS) algorithm improves photoacoustic imaging (PAI) by using signal variance to reduce artifacts and enhance visualization of blood vessels, outperforming standard methods.

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Area of Science:

  • Biomedical optics
  • Medical imaging
  • Algorithm development

Background:

  • Photoacoustic imaging (PAI) is a hybrid modality combining optical excitation and ultrasonic detection.
  • The standard Delay-and-Sum (DAS) algorithm in PAI is computationally efficient but susceptible to image artifacts.
  • High-quality imaging of vasculature is crucial for diagnosing various medical conditions.

Purpose of the Study:

  • To introduce a novel algorithm, Variance Delay-and-Sum (VDAS), for circular-array PAI.
  • To improve image quality and reduce artifacts in PAI compared to traditional DAS methods.
  • To enhance the visualization of optical absorbers, particularly vasculature.

Main Methods:

  • Development of the VDAS algorithm, incorporating signal variance as a weighting factor.
  • Implementation of VDAS for circular-array PAI.
  • Validation through numerical simulations and experimental studies using phantoms and ex-vivo mouse ears.

Main Results:

  • VDAS effectively utilizes signal variance to identify potential optical absorbers.
  • Significant enhancement in vasculature imaging quality was observed.
  • VDAS demonstrated superior artifact reduction compared to standard DAS algorithms.
  • Computational efficiency was maintained.

Conclusions:

  • The VDAS algorithm offers a significant advancement for circular-array PAI.
  • VDAS provides improved image fidelity and artifact suppression.
  • This method holds promise for enhanced diagnostic capabilities in PAI applications.