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Photoacoustic Imaging and Sensing

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".

Deadline for manuscript submissions: 20 August 2024 | Viewed by 3489

Special Issue Editor

Department of Electrical & Computer Engineering, Lawrence Technological University, Southfield, MI 48075, USA
Interests: optical instrumentation; optical science; laser ultrasonics; ultrasound guided photoacoustic imaging for molecular detection in turbid media
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Photoacoustic imaging has successfully served as an imaging tool in biomedical applications, which take advantage of its optical contrast, ultrasonic spatial resolution, and ultrasonic imaging depth. Additionally, photoacoustic and ultrasound imaging are relatively easy to combine in order to maximize their advantages while compensating for each other’s disadvantages. In this dual imaging modality, photoacoustic images provide optically contrasted functional information about target lesions, whereas ultrasound images are used to identify the anatomical location of the target lesions. Recently, many attempts have been made to expand the use of photoacoustic imaging to clinical applications such as the diagnosis of breast and prostate cancers. The objective of this Special Issue is to highlight technological advances in photoacoustic imaging and clinical applications of photoacoustic imaging that have recently been developed.

In recent years, although the scanning and image formation methods of photoacoustic imaging have become relatively mature, the application of photoacoustic imaging has increased explosively. Cross-disciplinary research with chemistry and life sciences has significantly promoted the progress of photoacoustic imaging. Various contrast agents, including nanoparticles, organic dyes, targeted agents, and genetically expressed markers, are being actively developed. Photoacoustic imaging has been applied in studies involving the release control and the monitoring of the dynamics of these contrast agents. Clinical translations of photoacoustic imaging have also achieved remarkable progress. On the other hand, there are still needs in some aspects, such as large depth detection, miniaturization of endoscopic probe, and fast multi-spectral imaging. Advanced imaging models, image reconstruction methods, and signal processing algorithms have been invented to reduce the scanning time and enhance the image quality. The emergence of new laser sources, non-contact ultrasound detection technologies, and novel ultrasound sensors are also important aspects of photoacoustic innovation.

This Special Issue aims to present original state-of-the-art research articles on almost all aspects of photoacoustic imaging. However, studies mainly about the synthesis and characterization of photoacoustic contrast agents, with only marginal relation to photoacoustic imaging, are outside the scope of this Issue. Topics include, but are not limited to:

  • Tomography and deep-tissue imaging;
  • Photoacoustic microscopy;
  • Contrast agents, molecular probes, and nanoparticles;
  • Pre-clinical imaging, clinical translation, and clinical applications;
  • Multi-modality systems involving light and sound;
  • Microwave-induced ultrasound imaging and sensing;
  • Laser ultrasound methods and applications;
  • Physics and modeling of photoacoustic generation, propagation and detection;
  • Advanced photoacoustic and ultrasound signal processing and analysis;
  • Image reconstruction algorithms including deep learning;
  • Novel lasers and light delivery technologies for the generation and detection of ultrasound;
  • Spectroscopy and analysis of compounds.

Dr. Jinjun Xia
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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16 pages, 5648 KiB  
Article
Automated Laser-Fiber Coupling Module for Optical-Resolution Photoacoustic Microscopy
by Seongyi Han, Hyunjun Kye, Chang-Seok Kim, Tae-Kyoung Kim, Jinwoo Yoo and Jeesu Kim
Sensors 2023, 23(14), 6643; https://doi.org/10.3390/s23146643 - 24 Jul 2023
Viewed by 1275
Abstract
Photoacoustic imaging has emerged as a promising biomedical imaging technique that enables visualization of the optical absorption characteristics of biological tissues in vivo. Among the different photoacoustic imaging system configurations, optical-resolution photoacoustic microscopy stands out by providing high spatial resolution using a tightly [...] Read more.
Photoacoustic imaging has emerged as a promising biomedical imaging technique that enables visualization of the optical absorption characteristics of biological tissues in vivo. Among the different photoacoustic imaging system configurations, optical-resolution photoacoustic microscopy stands out by providing high spatial resolution using a tightly focused laser beam, which is typically transmitted through optical fibers. Achieving high-quality images depends significantly on optical fluence, which is directly proportional to the signal-to-noise ratio. Hence, optimizing the laser-fiber coupling is critical. Conventional coupling systems require manual adjustment of the optical path to direct the laser beam into the fiber, which is a repetitive and time-consuming process. In this study, we propose an automated laser-fiber coupling module that optimizes laser delivery and minimizes the need for manual intervention. By incorporating a motor-mounted mirror holder and proportional derivative control, we successfully achieved efficient and robust laser delivery. The performance of the proposed system was evaluated using a leaf-skeleton phantom in vitro and a human finger in vivo, resulting in high-quality photoacoustic images. This innovation has the potential to significantly enhance the quality and efficiency of optical-resolution photoacoustic microscopy. Full article
(This article belongs to the Special Issue Photoacoustic Imaging and Sensing)
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16 pages, 9435 KiB  
Article
A Speech Enhancement Algorithm for Speech Reconstruction Based on Laser Speckle Images
by Xueying Hao, Dali Zhu, Xianlan Wang, Long Yang and Hualin Zeng
Sensors 2023, 23(1), 330; https://doi.org/10.3390/s23010330 - 28 Dec 2022
Cited by 1 | Viewed by 1620
Abstract
In the optical system for reconstructing speech signals based on laser speckle images, the resonance between the sound source and nearby objects leads to frequency response problem, which seriously affects the accuracy of reconstructed speech. In this paper, we propose a speech enhancement [...] Read more.
In the optical system for reconstructing speech signals based on laser speckle images, the resonance between the sound source and nearby objects leads to frequency response problem, which seriously affects the accuracy of reconstructed speech. In this paper, we propose a speech enhancement algorithm to reduce the frequency response. The results show that after using the speech enhancement algorithm, the frequency spectrum correlation coefficient between the reconstructed sinusoidal signal and the original sinusoidal signal is improved by up to 82.45%, and the real speech signal is improved by up to 56.40%. This proves that the speech enhancement algorithm is a valuable tool for solving the frequency response problem and improving the accuracy of reconstructed speech. Full article
(This article belongs to the Special Issue Photoacoustic Imaging and Sensing)
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