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Biomedical Imaging Using Photoacoustic Technology

A special issue of Sensors (ISSN 1424-8220).

Deadline for manuscript submissions: closed (31 May 2019) | Viewed by 5281

Special Issue Editors


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Guest Editor
Wayne State University, Detroit, MI 48201, USA
Interests: photoacoutic imaging of the neonatal brain; optical coherence tomography and photoacoutic imaging of melanoma skin
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Optical & Ultrasonic Imaging Laboratory, University at Buffalo, Buffalo, NY 14260, USA
Interests: photoacoustic imaging; 3D reconstruction; optical imaging

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Guest Editor
Duke University, Durham, NC, 27708 USA
Interests: high-speed photoacoustic microscopy; photoacoustic nerual imaging; high-sensitivity photoacoustic molecular imaging

Special Issue Information

Dear Colleagues,

Biomedical imaging has been an essential tool in daily medical diagnostics. For more than 100 years, various biomedical imaging technologies have been developed to provide anatomical, functional, and molecular information of internal organs, among which optical imaging and ultrasound imaging have been two major modalities. Being distinct in fundamental physics, optical imaging and ultrasound imaging have been explored by different research communities. In recent decades, the emergence of photoacoustic imaging (PAI) technology has opened the way for integrating optical and ultrasound merits, i.e., rich optical contrast and deep ultrasound resolution. PAI has experienced an exponential increase in both the research and industrial communities.

This Special Issue focuses on the novel technological developments and preclinical and clinical biomedical applications of PAI. Topics include, but are not limited to:

  • Tumor imaging;
  • Image reconstruction;
  • Light delivery methods;
  • Skin imaging;
  • Photoacoustic spectroscopy;
  • Photoacoustic imaging of brain;
  • Improving penetration depth in photoacoustic imaging;
  • Development of photoacoustic contrast agents.

Dr. Mohammad R. N. Avanaki
Dr. Jun Xia
Dr. Junjie Yao
Guest Editors

Manuscript Submission Information

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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

  • Photoacoustic imaging
  • Photoacoustic tomography
  • Photoacoustic microscopy
  • Molecular imaging
  • Laser
  • Ultrasound
  • Nanoparticle
  • Cancer
  • Brain

Published Papers (1 paper)

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Research

24 pages, 1679 KiB  
Article
Skull’s Photoacoustic Attenuation and Dispersion Modeling with Deterministic Ray-Tracing: Towards Real-Time Aberration Correction
by Leila Mohammadi, Hamid Behnam, Jahan Tavakkoli and Mohammad R. N. Avanaki
Sensors 2019, 19(2), 345; https://doi.org/10.3390/s19020345 - 16 Jan 2019
Cited by 37 | Viewed by 4930
Abstract
Although transcranial photoacoustic imaging has been previously investigated by several groups, there are many unknowns about the distorting effects of the skull due to the impedance mismatch between the skull and underlying layers. The current computational methods based on finite-element modeling are slow, [...] Read more.
Although transcranial photoacoustic imaging has been previously investigated by several groups, there are many unknowns about the distorting effects of the skull due to the impedance mismatch between the skull and underlying layers. The current computational methods based on finite-element modeling are slow, especially in the cases where fine grids are defined for a large 3-D volume. We develop a very fast modeling/simulation framework based on deterministic ray-tracing. The framework considers a multilayer model of the medium, taking into account the frequency-dependent attenuation and dispersion effects that occur in wave reflection, refraction, and mode conversion at the skull surface. The speed of the proposed framework is evaluated. We validate the accuracy of the framework using numerical phantoms and compare its results to k-Wave simulation results. Analytical validation is also performed based on the longitudinal and shear wave transmission coefficients. We then simulated, using our method, the major skull-distorting effects including amplitude attenuation, time-domain signal broadening, and time shift, and confirmed the findings by comparing them to several ex vivo experimental results. It is expected that the proposed method speeds up modeling and quantification of skull tissue and allows the development of transcranial photoacoustic brain imaging. Full article
(This article belongs to the Special Issue Biomedical Imaging Using Photoacoustic Technology)
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