Implementation and Comparison of Three Image Reconstruction Algorithms in FPGA Toward Palm-Size Photoacoustic Tomography

Gao, Zijian; Shen, Y.; Jiang, Daohuai; Zheng, Yufeng; Liu, Fengyu; Gao, Feng; Gao, Fei

doi:10.1109/jsen.2023.3252814

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…The proposed method demonstrates substantial time savings, particularly in sparse 3D configurations, where it is over 2000 times faster. To realize fast and cost-effective image reconstruction of PAI, Gao et al 39 proposed a palm-size and affordable PAT system 39 with hardware acceleration. The system employs a field-programmable gate array (FPGA) implementation for high-quality image reconstruction in a low-cost, low-power FPGA platform that is adaptable to various image reconstruction algorithms, which accelerates the reconstruction speed at a much lower system cost.…”

Section: Pai-guided Surgerymentioning

confidence: 99%

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Photoacoustic imaging plus X: a review

Jiang,

Zhu,

Tong

et al. 2023

J. Biomed. Opt.

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. Significance Photoacoustic (PA) imaging (PAI) represents an emerging modality within the realm of biomedical imaging technology. It seamlessly blends the wealth of optical contrast with the remarkable depth of penetration offered by ultrasound. These distinctive features of PAI hold tremendous potential for various applications, including early cancer detection, functional imaging, hybrid imaging, monitoring ablation therapy, and providing guidance during surgical procedures. The synergy between PAI and other cutting-edge technologies not only enhances its capabilities but also propels it toward broader clinical applicability. Aim The integration of PAI with advanced technology for PA signal detection, signal processing, image reconstruction, hybrid imaging, and clinical applications has significantly bolstered the capabilities of PAI. This review endeavor contributes to a deeper comprehension of how the synergy between PAI and other advanced technologies can lead to improved applications. Approach An examination of the evolving research frontiers in PAI, integrated with other advanced technologies, reveals six key categories named “PAI plus X.” These categories encompass a range of topics, including but not limited to PAI plus treatment, PAI plus circuits design, PAI plus accurate positioning system, PAI plus fast scanning systems, PAI plus ultrasound sensors, PAI plus advanced laser sources, PAI plus deep learning, and PAI plus other imaging modalities. Results After conducting a comprehensive review of the existing literature and research on PAI integrated with other technologies, various proposals have emerged to advance the development of PAI plus X. These proposals aim to enhance system hardware, improve imaging quality, and address clinical challenges effectively. Conclusions The progression of innovative and sophisticated approaches within each category of PAI plus X is positioned to drive significant advancements in both the development of PAI technology and its clinical applications. Furthermore, PAI not only has the potential to integrate with the above-mentioned technologies but also to broaden its applications even further.

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Section: Pai-guided Surgerymentioning

confidence: 99%

Section: Pai Plus Advanced Electrical and Mechanical Hardwarementioning

confidence: 99%

Photoacoustic imaging plus X: a review

Jiang,

Zhu,

Tong

et al. 2023

J. Biomed. Opt.

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Biomedical instrumentation of photoacoustic imaging and quantitative sensing for clinical applications

Khan,

Vasudevan

2023

Review of Scientific Instruments

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Photoacoustic (PA) imaging has been well researched over the last couple of decades and has found many applications in biomedical engineering. This has evinced interest among many scientists in developing this as a compact instrument for biomedical diagnosis. This review discusses various instrumentation developments for PA experimental setups and their applications in the biomedical diagnostic field. It also covers the PA spectral response or PA sensing technique, which uses the spectral information of the PA signal and performs sensing to deliver a fast, cost-effective, and compact screening tool instead of imaging. Primarily, this review provides an overview of PA imaging concepts and the development of hardware instrumentation systems in both the excitation and acquisition stages of this technique. Later, the paper discusses PA sensing, the quantitative spectral parameter extraction from the PA spectrum, and the correlation study of the spectral parameters with the physical parameters of the tissue. This PA sensing technique was used to diagnose various diseases, such as thyroid nodules, breast cancer, renal disorders, and zoonotic diseases, based on the mechanical and biological characteristics of the tissues. The paper culminates with a discussion section that provides future developments that are necessary to take this technique into clinical applications as a quantitative PA imaging technique.

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