Overview of Ultrasound Detection Technologies for Photoacoustic Imaging

Manwar, Rayyan; Kratkiewicz, Karl; Avanaki, Kamran

doi:10.3390/mi11070692

Cited by 80 publications

(43 citation statements)

References 195 publications

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“… 20 Although capacitive micromachined ultrasonic transducers and optical transducers may have larger bandwidth, they have not been widely adopted for PAI yet. 148 A reduced bandwidth inevitably results in the loss of important image features.…”

Section: Applications Of DL In Paimentioning

confidence: 99%

Deep learning in photoacoustic imaging: a review

et al. 2021

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. Significance: Photoacoustic (PA) imaging can provide structural, functional, and molecular information for preclinical and clinical studies. For PA imaging (PAI), non-ideal signal detection deteriorates image quality, and quantitative PAI (QPAI) remains challenging due to the unknown light fluence spectra in deep tissue. In recent years, deep learning (DL) has shown outstanding performance when implemented in PAI, with applications in image reconstruction, quantification, and understanding. Aim: We provide (i) a comprehensive overview of the DL techniques that have been applied in PAI, (ii) references for designing DL models for various PAI tasks, and (iii) a summary of the future challenges and opportunities. Approach: Papers published before November 2020 in the area of applying DL in PAI were reviewed. We categorized them into three types: image understanding, reconstruction of the initial pressure distribution, and QPAI. Results: When applied in PAI, DL can effectively process images, improve reconstruction quality, fuse information, and assist quantitative analysis. Conclusion: DL has become a powerful tool in PAI. With the development of DL theory and technology, it will continue to boost the performance and facilitate the clinical translation of PAI.

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Section: Applications Of DL In Paimentioning

confidence: 99%

Deep learning in photoacoustic imaging: a review

et al. 2021

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“…The use of optical interference or resonance methods to detect PA signals without contact has become a hotspot in research on PAI technology in recent years [36][37][38]. It is also an effective method to achieve noncontact PA detection and imaging without using acoustic coupling media.…”

Section: Transparent Optics-based Us Sensorsmentioning

confidence: 99%

A Review of Transparent Sensors for Photoacoustic Imaging Applications

et al. 2021

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Photoacoustic imaging is a new type of noninvasive, nonradiation imaging modality that combines the deep penetration of ultrasonic imaging and high specificity of optical imaging. Photoacoustic imaging systems employing conventional ultrasonic sensors impose certain constraints such as obstructions in the optical path, bulky sensor size, complex system configurations, difficult optical and acoustic alignment, and degradation of signal-to-noise ratio. To overcome these drawbacks, an ultrasonic sensor in the optically transparent form has been introduced, as it enables direct delivery of excitation light through the sensors. In recent years, various types of optically transparent ultrasonic sensors have been developed for photoacoustic imaging applications, including optics-based ultrasonic sensors, piezoelectric-based ultrasonic sensors, and microelectromechanical system-based capacitive micromachined ultrasonic transducers. In this paper, the authors review representative transparent sensors for photoacoustic imaging applications. In addition, the potential challenges and future directions of the development of transparent sensors are discussed.

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“…There are several reviews on various aspects of PAI- and MEMS-based endoscopic imaging technologies. Manwar et al presented an overview of ultrasound detection technologies for PAI [ 51 ]. Lee et al reviewed a number of MEMS technologies for PAI, including MEMS scanning mirrors, several types of MEMS-based detectors including MUTs, microring resonators, and micromachined silicon acoustic delay lines and multiplexer [ 38 ].…”

Section: Introductionmentioning

confidence: 99%

MEMS Ultrasound Transducers for Endoscopic Photoacoustic Imaging Applications

Wang

Yang

et al. 2020

Micromachines

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Photoacoustic imaging (PAI) is drawing extensive attention and gaining rapid development as an emerging biomedical imaging technology because of its high spatial resolution, large imaging depth, and rich optical contrast. PAI has great potential applications in endoscopy, but the progress of endoscopic PAI was hindered by the challenges of manufacturing and assembling miniature imaging components. Over the last decade, microelectromechanical systems (MEMS) technology has greatly facilitated the development of photoacoustic endoscopes and extended the realm of applicability of the PAI. As the key component of photoacoustic endoscopes, micromachined ultrasound transducers (MUTs), including piezoelectric MUTs (pMUTs) and capacitive MUTs (cMUTs), have been developed and explored for endoscopic PAI applications. In this article, the recent progress of pMUTs (thickness extension mode and flexural vibration mode) and cMUTs are reviewed and discussed with their applications in endoscopic PAI. Current PAI endoscopes based on pMUTs and cMUTs are also introduced and compared. Finally, the remaining challenges and future directions of MEMS ultrasound transducers for endoscopic PAI applications are given.

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Overview of Ultrasound Detection Technologies for Photoacoustic Imaging

Cited by 80 publications

References 195 publications

Deep learning in photoacoustic imaging: a review

Deep learning in photoacoustic imaging: a review

A Review of Transparent Sensors for Photoacoustic Imaging Applications

MEMS Ultrasound Transducers for Endoscopic Photoacoustic Imaging Applications

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