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Khan S, Vasudevan S. Biomedical instrumentation of photoacoustic imaging and quantitative sensing for clinical applications. THE REVIEW OF SCIENTIFIC INSTRUMENTS 2023; 94:091502. [PMID: 37747328 DOI: 10.1063/5.0151882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 09/02/2023] [Indexed: 09/26/2023]
Abstract
Photoacoustic (PA) imaging has been well researched over the last couple of decades and has found many applications in biomedical engineering. This has evinced interest among many scientists in developing this as a compact instrument for biomedical diagnosis. This review discusses various instrumentation developments for PA experimental setups and their applications in the biomedical diagnostic field. It also covers the PA spectral response or PA sensing technique, which uses the spectral information of the PA signal and performs sensing to deliver a fast, cost-effective, and compact screening tool instead of imaging. Primarily, this review provides an overview of PA imaging concepts and the development of hardware instrumentation systems in both the excitation and acquisition stages of this technique. Later, the paper discusses PA sensing, the quantitative spectral parameter extraction from the PA spectrum, and the correlation study of the spectral parameters with the physical parameters of the tissue. This PA sensing technique was used to diagnose various diseases, such as thyroid nodules, breast cancer, renal disorders, and zoonotic diseases, based on the mechanical and biological characteristics of the tissues. The paper culminates with a discussion section that provides future developments that are necessary to take this technique into clinical applications as a quantitative PA imaging technique.
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Affiliation(s)
- S Khan
- Department of Electrical Engineering, Indian Institute of Technology, Indore 453552, India
| | - S Vasudevan
- Department of Electrical Engineering, Indian Institute of Technology, Indore 453552, India
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Wang Y, Yuan C, Jiang J, Peng K, Wang B. Photoacoustic/Ultrasound Endoscopic Imaging Reconstruction Algorithm Based on the Approximate Gaussian Acoustic Field. BIOSENSORS 2022; 12:bios12070463. [PMID: 35884265 PMCID: PMC9312499 DOI: 10.3390/bios12070463] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 06/18/2022] [Accepted: 06/22/2022] [Indexed: 12/16/2022]
Abstract
This paper aims to propose a new photoacoustic/ultrasound endoscopic imaging reconstruction algorithm based on the approximate Gaussian acoustic field which significantly improves the resolution and signal-to-noise ratio (SNR) of the out-of-focus region. We demonstrated the method by numerical calculations and investigated the applicability of the algorithm in a chicken breast phantom. The validation was finally performed by the rabbit rectal endoscopy experiment. Simulation results show that the lateral resolution of the target point in the out-of-focus region can be well optimized with this new algorithm. Phantom experimental results show that the lateral resolution of the indocyanine green (ICG) tube in the photoacoustic image is reduced from 3.975 mm to 1.857 mm by using our new algorithm, which is a 52.3% improvement. Ultrasound images also show a significant improvement in lateral resolution. The results of the rabbit rectal endoscopy experiment prove that the algorithm we proposed is capable of providing higher-quality photoacoustic/ultrasound images. In conclusion, the algorithm enables fast acoustic resolution photoacoustic/ ultrasonic dynamic focusing and effectively improves the imaging quality of the system, which has significant guidance for the design of acoustic resolution photoacoustic/ultrasound endoscopy systems.
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Affiliation(s)
| | | | | | | | - Bo Wang
- Correspondence: (K.P.); (B.W.)
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Sun Z, Wang X, Yan X. An iterative gradient convolutional neural network and its application in endoscopic photoacoustic image formation from incomplete acoustic measurement. Neural Comput Appl 2021. [DOI: 10.1007/s00521-020-05607-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Jin H, Zheng Z, Liu S, Zheng Y. Evaluation of Reconstruction Methodology for Helical Scan Guided Photoacoustic Endoscopy. IEEE TRANSACTIONS ON MEDICAL IMAGING 2020; 39:4198-4208. [PMID: 32755852 DOI: 10.1109/tmi.2020.3014410] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Photoacoustic endoscopy (PAE), combining both advantages of optical contrast and acoustic resolution, can visualize the chemical-specific optical information of tissues inside human-body. Recently, its corresponding reconstruction methods have been extensively researched. However, most of them are limited on cylindrical scan trajectories, rather than a helical scan which is more clinically practical. On this note, this article proposes a methodology of imaging reconstruction and evaluation for helical scan guided PAE. Different from traditional reconstruction method, synthetic aperture focusing technique (SAFT), our method reconstructs image using wavefield extrapolation which significantly improves computational efficiency and even takes only 0.25 seconds for 3-D reconstructions. In addition, the proposed evaluation methodology can estimate the resolutions and deviations of reconstructed images in advance, and then can be used to optimize the PAE scan parameters. Groups of simulations as well as ex-vivo experiments with different scan parameters are provided to fully demonstrate the performance of the proposed techniques. The quantitatively measured angular resolutions and deviations agree well with our theoretical derivation results D√{rs2 +h2} / [1.25(rs rd +h2)] (rad) and -h l / (rs rd +h2) (rad), respectively D,rd, rs,h and l represent transducer diameter, radius of scan trajectory, radius of source position, unit helical pitch and the distance from targets to helical scan plane, respectively). This theoretical result also suits for circular and cylindrical scan in case of h = 0 .
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Guo H, Li Y, Qi W, Xi L. Photoacoustic endoscopy: A progress review. JOURNAL OF BIOPHOTONICS 2020; 13:e202000217. [PMID: 32935920 DOI: 10.1002/jbio.202000217] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 08/20/2020] [Accepted: 08/31/2020] [Indexed: 06/11/2023]
Abstract
Endoscopy has been widely used in biomedical imaging and integrated with various optical and acoustic imaging modalities. Photoacoustic imaging (PAI), one of the fastest growing biomedical imaging modalities, is a noninvasive and nonionizing method that owns rich optical contrast, deep acoustic penetration depth, multiscale and multiparametric imaging capability. Hence, it is preferred to miniaturize the volume of PAI and develop an emerged endoscopic imaging modality referred to as photoacoustic endoscopy (PAE). It has been developed for more than one decade since the first report of PAE. Unfortunately, until now, there is no mature photoacoustic endoscopic technique recognized in clinic due to various technical limitations. To address this concern, recent development of new scanning mechanisms, adoption of novel optical/acoustic devices, utilization of superior computation methods and exploration of multimodality strategies have significantly promoted the progress of PAE toward clinic. In this review, we comprehensively reviewed recent progresses in single- and multimodality PAE with new physics, mechanisms and strategies to achieve practical devices for potential applicable scenarios including esophageal, gastrointestinal, urogenital and intravascular imaging. We ended this review with challenges and prospects for future development of PAE.
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Affiliation(s)
- Heng Guo
- School of Physics, University of Electronic Science and Technology of China, Chengdu, China
| | - Ying Li
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Weizhi Qi
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Lei Xi
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China
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Wang B, Wei N, Peng K, Xiao J. Modified back-projection method in acoustic resolution-based photoacoustic endoscopy for improved lateral resolution. Med Phys 2018; 45:4430-4438. [DOI: 10.1002/mp.13129] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 07/28/2018] [Accepted: 08/07/2018] [Indexed: 11/07/2022] Open
Affiliation(s)
- Bo Wang
- Department of Biomedical Engineering; College of Biology; Hunan University; Changsha Hunan 410082 China
| | - Ningning Wei
- Department of Biomedical Engineering; College of Biology; Hunan University; Changsha Hunan 410082 China
| | - Kuan Peng
- Department of Biomedical Engineering; School of Basic Medical Science; Central South University; Changsha Hunan 410083 China
| | - Jiaying Xiao
- Department of Biomedical Engineering; School of Basic Medical Science; Central South University; Changsha Hunan 410083 China
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Zheng S, Lan Z. Reconstruction of optical absorption coefficient distribution in intravascular photoacoustic imaging. Comput Biol Med 2018; 97:37-49. [DOI: 10.1016/j.compbiomed.2018.04.012] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2017] [Revised: 04/16/2018] [Accepted: 04/16/2018] [Indexed: 01/18/2023]
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He H, Buehler A, Bozhko D, Jian X, Cui Y, Ntziachristos V. Importance of Ultrawide Bandwidth for Optoacoustic Esophagus Imaging. IEEE TRANSACTIONS ON MEDICAL IMAGING 2018; 37:1162-1167. [PMID: 29727279 DOI: 10.1109/tmi.2017.2777891] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Optoacoustic (photoacoustic) endoscopy has shown potential to reveal complementary contrast to optical endoscopy methods, indicating clinical relevance. However operational parameters for accurate optoacoustic endoscopy must be specified for optimal performance. Recent support from the EU Horizon 2020 program ESOTRAC to develop a next-generation optoacoustic esophageal endoscope directs the interrogation of the optimal frequency required for accurate implementation. We simulated the frequency response of the esophagus wall and then validated the simulation results with experimental measurements of pig esophagus. Phantoms and fresh pig esophagus samples were measured using two detectors with central frequencies of 15 or 50 MHz, and the imaging performance of both detectors was compared. We analyzed the frequency bandwidth of optoacoustic signals in relation to morphological layer structures of the esophagus and found the 50 MHz detector to differentiate layer structures better than the 15 MHz detector. Furthermore, we identify the necessary detection bandwidth for visualizing esophagus morphology and selecting ultrasound transducers for future optoacoustic endoscopy of the esophagus.
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Zheng S, Zhen M. Numerical simulation of endoscopic magnetoacoustic tomography with magnetic induction. Comput Biol Med 2017; 90:1-14. [PMID: 28910689 DOI: 10.1016/j.compbiomed.2017.09.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Revised: 08/31/2017] [Accepted: 09/01/2017] [Indexed: 11/17/2022]
Abstract
Endoscopic magnetoacoustic tomography with magnetic induction (EMAT-MI) provides an interventional tool to detect the electrical conductivity distribution of a tubular structure with high spatial resolution. In this work, a preliminary study on the numerical simulation of EMAT-MI images was conducted. The magnetic excitation, generation and propagation of magnetoacoustic (MA) waves in the multi-layered wall tissues were modeled and numerically simulated. The cross-sectional distribution of the acoustic source and electrical conductivity was recovered from the acoustic pressure series based on time-reversal. The validity has been demonstrated on two computer-generated phantoms. Results suggested that the conductivity boundaries can be clearly distinguished in the images of acoustic-source or conductivity distribution which are highly consistent with the numerical simulation. The resolution of the MA signals excited by the Lorentz force divergence is closely related to the pulse width of the excitation current. Sparse measuring locations and limited-view scanning may reduce the image quality although higher SNR of the MA signals leads to better image reconstruction.
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Affiliation(s)
- Sun Zheng
- Department of Electronic and Communication Engineering, North China Electric Power University, Baoding 071003, China.
| | - Ma Zhen
- Department of Electronic and Communication Engineering, North China Electric Power University, Baoding 071003, China
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Zheng S, Yuan Y, Duoduo H. A computer-based simulator for intravascular photoacoustic images. Comput Biol Med 2017; 81:176-187. [PMID: 28088080 DOI: 10.1016/j.compbiomed.2017.01.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Revised: 01/05/2017] [Accepted: 01/05/2017] [Indexed: 10/20/2022]
Abstract
Intravascular photoacoustic (IVPA) is a newly developed catheter-based imaging technique for the diagnosis of arterial atherosclerosis. A framework of simulating IVPA transversal images from a cross-sectional vessel model with given optical and acoustic parameters was presented. The light illumination and transportation in multi-layered wall and atherosclerotic plaque tissues were modeled through Monte Carlo (MC) simulation. The generation and transmission of photoacoustic (PA) waves in the acoustically homogeneous medium were modeled through the PA wave equation, which is solved explicitly with a finite difference time domain (FDTD) algorithm in polar coordinates. Finally, a series of cross-sectional gray-scale images displaying the distribution of the deposited optical energy were reconstructed from the time-dependent acoustic pressure series with a time-reversal based algorithm. Experimental results demonstrate a good correlation between the simulated IVPA images and the optical absorption distribution profiles. The simulator provides a powerful tool for generating IVPA image data sets, which are used to improve the imaging catheter and to test the performance of image post-processing algorithms.
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Affiliation(s)
- Sun Zheng
- Department of Electronic and Communication Engineering, North China Electric Power University, Baoding 071003, Hebei, China.
| | - Yuan Yuan
- Department of Electronic and Communication Engineering, North China Electric Power University, Baoding 071003, Hebei, China
| | - Han Duoduo
- Department of Electronic and Communication Engineering, North China Electric Power University, Baoding 071003, Hebei, China
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2-D image reconstruction of photoacoustic endoscopic imaging based on time-reversal. Comput Biol Med 2016; 76:60-8. [DOI: 10.1016/j.compbiomed.2016.06.028] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Revised: 06/20/2016] [Accepted: 06/28/2016] [Indexed: 11/18/2022]
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Gawali S, Leggio L, Broadway C, González P, Sánchez M, Rodríguez S, Lamela H. Image reconstruction algorithms with wavelet filtering for optoacoustic imaging. ACTA ACUST UNITED AC 2016. [DOI: 10.1117/12.2208598] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
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Zackrisson S, van de Ven SMWY, Gambhir SS. Light in and sound out: emerging translational strategies for photoacoustic imaging. Cancer Res 2014; 74:979-1004. [PMID: 24514041 DOI: 10.1158/0008-5472.can-13-2387] [Citation(s) in RCA: 329] [Impact Index Per Article: 29.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Photoacoustic imaging (PAI) has the potential for real-time molecular imaging at high resolution and deep inside the tissue, using nonionizing radiation and not necessarily depending on exogenous imaging agents, making this technique very promising for a range of clinical applications. The fact that PAI systems can be made portable and compatible with existing imaging technologies favors clinical translation even more. The breadth of clinical applications in which photoacoustics could play a valuable role include: noninvasive imaging of the breast, sentinel lymph nodes, skin, thyroid, eye, prostate (transrectal), and ovaries (transvaginal); minimally invasive endoscopic imaging of gastrointestinal tract, bladder, and circulating tumor cells (in vivo flow cytometry); and intraoperative imaging for assessment of tumor margins and (lymph node) metastases. In this review, we describe the basics of PAI and its recent advances in biomedical research, followed by a discussion of strategies for clinical translation of the technique.
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Affiliation(s)
- S Zackrisson
- Departments of Radiology, Bioengineering, and Department of Materials Science & Engineering. Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA.,Diagnostic Radiology, Department of Clinical Sciences in Malmö, Lund University, Sweden
| | - S M W Y van de Ven
- Departments of Radiology, Bioengineering, and Department of Materials Science & Engineering. Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
| | - S S Gambhir
- Departments of Radiology, Bioengineering, and Department of Materials Science & Engineering. Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
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