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Theory and Applications of 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: closed (31 March 2023) | Viewed by 2896

Special Issue Editors

School of Electronic and Information Engineering, Harbin Institute of Technology, Shenzhen 518055, China
Interests: optical imaging; optical spectroscopy; biomedical instrumentation; cardiac optogenetics; photoacoustic imaging
Special Issues, Collections and Topics in MDPI journals
Institute of Bioengineering and Bioimaging, A*STAR, Singapore 138667, Singapore
Interests: diffuse optics; laser speckle; photoacoustics; biomedical instruments; image processing

Special Issue Information

Dear Colleagues,

By taking the advantages of optical contrast and ultrasonic penetration depth, photoacoustic imaging and sensing (PAIS) has been successfully applied in biomedical research and preclinical practice, which provides non-invasive, label-free and multiscale inspection alternatives to fill the gaps left by other imaging and sensing modalities. Recently, many efforts have been made to overcome some long-existing challenges and limitations in PAIS and thus expanded the relative applications, including but not limited to, high-speed imaging/sensing strategies, high-quality reconstruction algorithms, high-sensitivity detection sensors, low-cost imaging/sensing devices, high-efficiency photoacoustic probes, etc.

The Special Issue is focused on highlighting the recent advances in PAIS technologies and applications. 

Dr. Wei Liu
Dr. Renzhe Bi
Guest Editors

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.

Keywords

  • high-speed photoacoustic microscopy
  • functional photoacoustic imaging
  • ultrasound propagation modeling and computed reconstruction
  • all-optical detection of photoacoustic signals
  • ultrasonic transducers
  • photoacoustic probes
  • novel applications of photoacoustic imaging and sensing Algorithms for enhancement of PAIS

Published Papers (1 paper)

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Research

14 pages, 3801 KiB  
Article
An Investigation of Signal Preprocessing for Photoacoustic Tomography
by Isaac Huen, Ruochong Zhang, Renzhe Bi, Xiuting Li, Mohesh Moothanchery and Malini Olivo
Sensors 2023, 23(1), 510; https://doi.org/10.3390/s23010510 - 2 Jan 2023
Cited by 2 | Viewed by 2097
Abstract
Photoacoustic tomography (PAT) is increasingly being used for high-resolution biological imaging at depth. Signal-to-noise ratios and resolution are the main factors that determine image quality. Various reconstruction algorithms have been proposed and applied to reduce noise and enhance resolution, but the efficacy of [...] Read more.
Photoacoustic tomography (PAT) is increasingly being used for high-resolution biological imaging at depth. Signal-to-noise ratios and resolution are the main factors that determine image quality. Various reconstruction algorithms have been proposed and applied to reduce noise and enhance resolution, but the efficacy of signal preprocessing methods which also affect image quality, are seldom discussed. We, therefore, compared common preprocessing techniques, namely bandpass filters, wavelet denoising, empirical mode decomposition, and singular value decomposition. Each was compared with and without accounting for sensor directivity. The denoising performance was evaluated with the contrast-to-noise ratio (CNR), and the resolution was calculated as the full width at half maximum (FWHM) in both the lateral and axial directions. In the phantom experiment, counting in directivity was found to significantly reduce noise, outperforming other methods. Irrespective of directivity, the best performing methods for denoising were bandpass, unfiltered, SVD, wavelet, and EMD, in that order. Only bandpass filtering consistently yielded improvements. Significant improvements in the lateral resolution were observed using directivity in two out of three acquisitions. This study investigated the advantages and disadvantages of different preprocessing methods and may help to determine better practices in PAT reconstruction. Full article
(This article belongs to the Special Issue Theory and Applications of Photoacoustic Imaging and Sensing)
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