Optimizing Irradiation Geometry in LED-Based Photoacoustic Imaging with 3D Printed Flexible and Modular Light Delivery System

Photoacoustic (PA) imaging–a technique combining the ability of optical imaging to probe functional properties of the tissue and deep structural imaging ability of ultrasound–has gained significant popularity in the past two decades for its utility in several biomedical applications. More recently, light-emitting diodes (LED) are being explored as an alternative to bulky and expensive laser systems used in PA imaging for their portability and low-cost. Due to the large beam divergence of LEDs compared to traditional laser beams, it is imperative to quantify the angular dependence of LED-based illumination and optimize its performance for imaging superficial or deep-seated lesions. A custom-built modular 3-D printed hinge system and tissue-mimicking phantoms with various absorption and scattering properties were used in this study to quantify the angular dependence of LED-based illumination. We also experimentally calculated the source divergence of the pulsed-LED arrays to be 58° ± 8°. Our results from point sources (pencil lead phantom) in non-scattering medium obey the cotangential relationship between the angle of irradiation and maximum PA intensity obtained at various imaging depths, as expected. Strong dependence on the angle of illumination at superficial depths (−5°/mm at 10 mm) was observed that becomes weaker at intermediate depths (−2.5°/mm at 20 mm) and negligible at deeper locations (−1.1°/mm at 30 mm). The results from the tissue-mimicking phantom in scattering media indicate that angles between 30–75° could be used for imaging lesions at various depths (12 mm–28 mm) where lower LED illumination angles (closer to being parallel to the imaging plane) are preferable for deep tissue imaging and superficial lesion imaging is possible with higher LED illumination angles (closer to being perpendicular to the imaging plane). Our results can serve as a priori knowledge for the future LED-based PA system designs employed for both preclinical and clinical applications.

[1]  Craig J. Goergen,et al.  Adjustable photoacoustic tomography probe improves light delivery and image quality , 2018, Photoacoustics.

[2]  Manojit Pramanik,et al.  Optimizing light delivery through fiber bundle in photoacoustic imaging with clinical ultrasound system: Monte Carlo simulation and experimental validation , 2016, Journal of biomedical optics.

[3]  Jun Xia,et al.  Optimizing the light delivery of linear-array-based photoacoustic systems by double acoustic reflectors , 2018, Scientific Reports.

[4]  Sarah E. Bohndiek,et al.  Photoacoustic imaging as a tool to probe the tumour microenvironment , 2019, Disease Models & Mechanisms.

[5]  Andrew R. Harvey,et al.  Holistic Monte-Carlo optical modelling of biological imaging , 2019, Scientific Reports.

[6]  Moein Mozaffarzadeh,et al.  GPU-accelerated Double-stage Delay-multiply-and-sum Algorithm for Fast Photoacoustic Tomography Using LED Excitation and Linear Arrays , 2019, Ultrasonic imaging.

[7]  Manojit Pramanik,et al.  High frame rate photoacoustic imaging at 7000 frames per second using clinical ultrasound system. , 2016, Biomedical optics express.

[8]  Changhui Li,et al.  Photoacoustic/ultrasound dual imaging of human thyroid cancers: an initial clinical study. , 2017, Biomedical optics express.

[9]  Jesse V. Jokerst,et al.  Strategies for Image-Guided Therapy, Surgery, and Drug Delivery Using Photoacoustic Imaging , 2019, Theranostics.

[10]  J. Moalem,et al.  Preliminary results of ex vivo multispectral photoacoustic imaging in the management of thyroid cancer. , 2014, AJR. American journal of roentgenology.

[11]  I. Driver,et al.  The optical properties of aqueous suspensions of Intralipid, a fat emulsion , 1989 .

[12]  Wiendelt Steenbergen,et al.  Three-dimensional view of out-of-plane artifacts in photoacoustic imaging using a laser-integrated linear-transducer-array probe , 2020, Photoacoustics.

[13]  Elena Salomatina,et al.  Optical properties of normal and cancerous human skin in the visible and near-infrared spectral range. , 2006, Journal of biomedical optics.

[14]  S. Gambhir,et al.  Light in and sound out: emerging translational strategies for photoacoustic imaging. , 2014, Cancer research.

[15]  Lihong V. Wang,et al.  Tutorial on Photoacoustic Microscopy and Computed Tomography , 2008, IEEE Journal of Selected Topics in Quantum Electronics.

[16]  P. Beard Biomedical photoacoustic imaging , 2011, Interface Focus.

[17]  Adrien E. Desjardins,et al.  Handheld Real-Time LED-Based Photoacoustic and Ultrasound Imaging System for Accurate Visualization of Clinical Metal Needles and Superficial Vasculature to Guide Minimally Invasive Procedures , 2018, Sensors.

[18]  B. Wilson,et al.  Monte Carlo modeling of light propagation in highly scattering tissues. I. Model predictions and comparison with diffusion theory , 1989, IEEE Transactions on Biomedical Engineering.

[19]  Pieter Verboven,et al.  Modeling the propagation of light in realistic tissue structures with MMC-fpf: a meshed Monte Carlo method with free phase function. , 2013, Optics express.

[20]  Congxian Jia,et al.  Biologically relevant photoacoustic imaging phantoms with tunable optical and acoustic properties , 2016, Journal of biomedical optics.

[21]  Yoshiyuki Sankai,et al.  Clinical Translation of Photoacoustic Imaging—Opportunities and Challenges from an Industry Perspective , 2020 .

[22]  Sanjiv S. Gambhir,et al.  Development and Application of Stable Phantoms for the Evaluation of Photoacoustic Imaging Instruments , 2013, PloS one.

[23]  Kang Kim,et al.  A new design of light illumination scheme for deep tissue photoacoustic imaging. , 2012, Optics express.

[24]  Martin Frenz,et al.  Effect of irradiation distance on image contrast in epi-optoacoustic imaging of human volunteers. , 2014, Biomedical optics express.

[25]  Wiendelt Steenbergen,et al.  Tomographic imaging with an ultrasound and LED-based photoacoustic system. , 2020, Biomedical optics express.

[26]  Martin Frenz,et al.  Multiple irradiation sensing of the optical effective attenuation coefficient for spectral correction in handheld OA imaging , 2016, Photoacoustics.

[27]  Heather K. Hunt,et al.  Hand-held optoacoustic imaging: A review , 2018, Photoacoustics.

[28]  Sanjiv S. Gambhir,et al.  Photoacoustic clinical imaging , 2019, Photoacoustics.

[29]  Tayyaba Hasan,et al.  Prediction of Tumor Recurrence and Therapy Monitoring Using Ultrasound-Guided Photoacoustic Imaging , 2015, Theranostics.

[30]  Lihong V. Wang,et al.  Photoacoustic imaging in biomedicine , 2006 .

[31]  Reinhard Niessner,et al.  Combined optoacoustic/ultrasound system for tomographic absorption measurements: possibilities and limitations , 2010, Analytical and bioanalytical chemistry.

[32]  Mohammad Mehrmohammadi,et al.  Photoacoustic Tomography with a Ring Ultrasound Transducer: A Comparison of Different Illumination Strategies , 2019, Applied sciences.

[33]  G Liu Theory of the photoacoustic effect in condensed matter. , 1982, Applied optics.

[34]  Christopher Fadden,et al.  Light-Emitting-Diode-Based Multispectral Photoacoustic Computed Tomography System , 2019, Sensors.

[35]  Huabei Jiang,et al.  Photoacoustic tomography can detect cerebral hemodynamic alterations in a neonatal rodent model of hypoxia-ischemia. , 2012, Acta neurobiologiae experimentalis.

[36]  Jie Yuan,et al.  Light Emitting Diodes based Photoacoustic Imaging and Potential Clinical Applications , 2018, Scientific Reports.

[37]  Guan Xu,et al.  Detecting joint inflammation by an LED-based photoacoustic imaging system: a feasibility study , 2018, Journal of biomedical optics.

[38]  Quing Zhu,et al.  Fiber endface illumination diffuser for endo-cavity photoacoustic imaging. , 2020, Optics letters.

[39]  S. Emelianov,et al.  Photoacoustic imaging in cancer detection, diagnosis, and treatment guidance. , 2011, Trends in biotechnology.

[40]  B. Pogue,et al.  Review of tissue simulating phantoms for optical spectroscopy, imaging and dosimetry. , 2006, Journal of biomedical optics.

[41]  Timothy Sowers,et al.  Investigation of light delivery geometries for photoacoustic applications using Monte Carlo simulations with multiple wavelengths, tissue types, and species characteristics , 2020, Journal of biomedical optics.

[42]  Guan Xu,et al.  A Functional Study of Human Inflammatory Arthritis Using Photoacoustic Imaging , 2017, Scientific Reports.

[43]  Srivalleesha Mallidi,et al.  Role of Ultrasound and Photoacoustic Imaging in Photodynamic Therapy for Cancer , 2020, Photochemistry and photobiology.

[44]  D. Chamberland,et al.  Noninvasive reflection mode photoacoustic imaging through infant skull toward imaging of neonatal brains , 2008, Journal of Neuroscience Methods.

[45]  Jesse V. Jokerst,et al.  The characterization of an economic and portable LED-based photoacoustic imaging system to facilitate molecular imaging , 2017, Photoacoustics.

[46]  Paul Kumar Upputuri,et al.  Photoacoustic imaging in the second near-infrared window: a review , 2019, Journal of biomedical optics.

[47]  Lihong V. Wang,et al.  Single-breath-hold photoacoustic computed tomography of the breast , 2018, Nature Communications.

[48]  A. Amelink,et al.  In vivo quantification of the scattering properties of tissue using multi-diameter single fiber reflectance spectroscopy , 2013, Biomedical optics express.

[49]  Jesse V. Jokerst,et al.  Dictionary learning technique enhances signal in LED-based photoacoustic imaging. , 2020, Biomedical optics express.

[50]  Martin Frenz,et al.  Fourier reconstruction in optoacoustic imaging using truncated regularized inverse k-space interpolation , 2007 .

[51]  Quing Zhu,et al.  Optimized light delivery probe using ball lenses for co-registered photoacoustic and ultrasound endo-cavity subsurface imaging , 2018, Photoacoustics.

[52]  Naoto Sato,et al.  Towards Clinical Translation of LED-Based Photoacoustic Imaging: A Review , 2020, Sensors.

[53]  K. Valluru,et al.  Photoacoustic Imaging in Oncology: Translational Preclinical and Early Clinical Experience. , 2016, Radiology.

[54]  Chulhong Kim,et al.  Programmable Real-time Clinical Photoacoustic and Ultrasound Imaging System , 2016, Scientific Reports.