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      Photoacoustic Imaging of Human Vasculature Using LED versus Laser Illumination: A Comparison Study on Tissue Phantoms and In Vivo Humans

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          Abstract

          Vascular diseases are becoming an epidemic with an increasing aging population and increases in obesity and type II diabetes. Point-of-care (POC) diagnosis and monitoring of vascular diseases is an unmet medical need. Photoacoustic imaging (PAI) provides label-free multiparametric information of deep vasculature based on strong absorption of light photons by hemoglobin molecules. However, conventional PAI systems use bulky nanosecond lasers which hinders POC applications. Recently, light-emitting diodes (LEDs) have emerged as cost-effective and portable optical sources for the PAI of living subjects. However, state-of-art LED arrays carry significantly lower optical energy (<0.5 mJ/pulse) and high pulse repetition frequencies (PRFs) (4 KHz) compared to the high-power laser sources (100 mJ/pulse) with low PRFs of 10 Hz. Given these tradeoffs between portability, cost, optical energy and frame rate, this work systematically studies the deep tissue PAI performance of LED and laser illuminations to help select a suitable source for a given biomedical application. To draw a fair comparison, we developed a fiberoptic array that delivers laser illumination similar to the LED array and uses the same ultrasound transducer and data acquisition platform for PAI with these two illuminations. Several controlled studies on tissue phantoms demonstrated that portable LED arrays with high frame averaging show higher signal-to-noise ratios (SNRs) of up to 30 mm depth, and the high-energy laser source was found to be more effective for imaging depths greater than 30 mm at similar frame rates. Label-free in vivo imaging of human hand vasculature studies further confirmed that the vascular contrast from LED-PAI is similar to laser-PAI for up to 2 cm depths. Therefore, LED-PAI systems have strong potential to be a mobile health care technology for diagnosing vascular diseases such as peripheral arterial disease and stroke in POC and resource poor settings.

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          Contrast agents for molecular photoacoustic imaging.

          Photoacoustic imaging (PAI) is an emerging tool that bridges the traditional depth limits of ballistic optical imaging and the resolution limits of diffuse optical imaging. Using the acoustic waves generated in response to the absorption of pulsed laser light, it provides noninvasive images of absorbed optical energy density at depths of several centimeters with a resolution of ∼100 μm. This versatile and scalable imaging modality has now shown potential for molecular imaging, which enables visualization of biological processes with systemically introduced contrast agents. Understanding the relative merits of the vast range of contrast agents available, from small-molecule dyes to gold and carbon nanostructures to liposome encapsulations, is a considerable challenge. Here we critically review the physical, chemical and biochemical characteristics of the existing photoacoustic contrast agents, highlighting key applications and present challenges for molecular PAI.
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            Molecular imaging by means of multispectral optoacoustic tomography (MSOT).

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              Photoacoustic imaging in cancer detection, diagnosis, and treatment guidance.

              Imaging modalities play an important role in the clinical management of cancer, including screening, diagnosis, treatment planning and therapy monitoring. Owing to increased research efforts during the past two decades, photoacoustic imaging (a non-ionizing, noninvasive technique capable of visualizing optical absorption properties of tissue at reasonable depth, with the spatial resolution of ultrasound) has emerged. Ultrasound-guided photoacoustics is noted for its ability to provide in vivo morphological and functional information about the tumor within the surrounding tissue. With the recent advent of targeted contrast agents, photoacoustics is now also capable of in vivo molecular imaging, thus facilitating further molecular and cellular characterization of cancer. This review examines the role of photoacoustics and photoacoustic-augmented imaging techniques in comprehensive cancer detection, diagnosis and treatment guidance.
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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                09 January 2021
                January 2021
                : 21
                : 2
                : 424
                Affiliations
                [1 ]Department of Biomedical Engineering, Pennsylvania State University, University Park, State College, PA 16802, USA; sua347@ 123456psu.edu (S.A.); kjohnstonbaugh97@ 123456gmail.com (K.J.)
                [2 ]Research & Business Development Division, CYBERDYNE INC, Cambridge Innovation Center, 3013 AK Rotterdam, The Netherlands; mithun_ajith@ 123456cyberdyne.jp
                [3 ]Department of Surgery, Penn State Heart and Vascular Institute, Hershey, PA 16802, USA; dch15@ 123456psu.edu
                [4 ]Penn State Hershey College of Medicine and Milton S. Hershey Medical Center, Hershey, PA 17033, USA; cpameijer@ 123456pennstatehealth.psu.edu
                [5 ]Penn State Cancer Institute, Pennsylvania State University, Hershey, PA 17033, USA
                [6 ]Graduate Program in Acoustics, Pennsylvania State University, University Park, State College, PA 16802, USA
                Author notes
                [* ]Correspondence: srkothapalli@ 123456psu.edu
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0001-5053-5896
                https://orcid.org/0000-0001-8670-6335
                https://orcid.org/0000-0002-4010-1047
                Article
                sensors-21-00424
                10.3390/s21020424
                7827532
                33435375
                41fa4bcc-8c00-4e1a-842a-0b2373eeb409
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 16 December 2020
                : 06 January 2021
                Categories
                Article

                Biomedical engineering
                deep tissue imaging,hemangioma,laser,light-emitting diodes (led),mobile health,peripheral arterial disease,photoacoustic imaging,stroke,vascular malformations

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