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Updated: Feb 4, 2026
05:32
A High-performance Compact Photoacoustic Tomography System for In Vivo Small-animal Brain Imaging
Published on: June 21, 2017
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The double-stage delay-multiply-and-sum image reconstruction method improves imaging quality in a LED-based
Moein Mozaffarzadeh1, Ali Hariri1, Colman Moore1
1Department of NanoEngineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92092, United States.
Photoacoustics
|October 9, 2018
Summary
A new algorithm, double-stage delay-multiply-and-sum (DS-DMAS), enhances photoacoustic imaging (PAI) quality from low-power light-emitting diode (LED) systems. DS-DMAS improves resolution and contrast using fewer image frames.
Area of Science:
- Biomedical Optics
- Medical Imaging
- Acoustic Imaging
Background:
- Light-emitting diode (LED)-based photoacoustic imaging (PAI) offers a compact and affordable alternative to laser-based systems.
- However, LED PAI systems suffer from low power, necessitating a high number of data acquisition frames to achieve adequate image quality.
- Existing signal processing methods like delay-and-sum (DAS) and delay-multiply-and-sum (DMAS) struggle to fully compensate for the low signal-to-noise ratio (SNR) inherent in LED PAI.
Purpose of the Study:
- To introduce and evaluate a novel signal processing algorithm, double-stage delay-multiply-and-sum (DS-DMAS), for improving image quality in LED-based PAI.
- To assess the performance of DS-DMAS in terms of resolution, contrast, and computational efficiency compared to conventional methods.
- To demonstrate the potential of DS-DMAS for enhancing the clinical translation of low-power PAI systems.
Main Methods:
- Development of the double-stage delay-multiply-and-sum (DS-DMAS) algorithm.
- Experimental validation using point targets at varying depths and lateral positions, a human hair phantom, and a rabbit eye model.
- Comparative analysis of DS-DMAS against delay-and-sum (DAS) and delay-multiply-and-sum (DMAS) algorithms, focusing on image quality metrics and frame count.
Main Results:
- DS-DMAS significantly improved image quality by compensating for the low SNR of LED-based PAI systems.
- The algorithm achieved approximately 60% and 25% better lateral resolution, 97% and 34% higher contrast ratios, and 60% and 25% better full-width-half-maximum (FWHM) compared to DAS and DMAS, respectively.
- DS-DMAS achieved these improvements using a drastically reduced number of frames, requiring only 2% of the total frames compared to other methods.
Conclusions:
- The DS-DMAS algorithm effectively enhances image quality in compact and affordable LED-based photoacoustic imaging systems.
- DS-DMAS offers superior resolution, contrast, and efficiency, making it a valuable processing tool for low-power PAI.
- This advancement facilitates the translation of LED-based PAI technology for broader applications in biomedical research and clinical diagnostics.
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