Monte Carlo simulations and photoacoustic experiments to compare imaging depth at 532 nm, 800 nm, and 1064 nm

Photoacoustic imaging (PAI) is a rapidly growing imaging modality which offers the advantages of good optical contrast and high ultrasound resolution. Although PAI provides imaging depth beyond the optical diffusion limit, penetration depth in biological samples is limited due to absorption and scattering of light in tissues. Improvement in imaging depth has been achieved by irradiating the sample with laser pulses of near infrared-I (NIR-I) region (700 nm–900 nm) due to decreased scattering of light in tissues within this optical window. Recently, further improvement in imaging depth has been reported by irradiating the sample in near infrared-II (NIR-II) region (900 nm-1700 nm). In this work, imaging depth in breast tissues when samples were irradiated by wavelengths in different optical windows has been compared. Initially, Monte Carlo simulation for light propagation in biological tissues was performed to compute imaging depth for excitation wavelengths of 532 nm, 800 nm, and 1064 nm. Further, photoacoustic tomography at 532 nm, 740 nm, and 1064 nm and acoustic resolution photoacoustic microscopy at 570 nm and 1064 nm were conducted to validate the results. We have shown that maximum imaging depth is achieved by NIR-I (740 nm/ 800 nm) when surface energy for all wavelengths is kept constant. However, when the energy density is proportional to maximum permissible exposure (MPE) at corresponding wavelength, maximum imaging depth is achieved by 1064 nm (NIR-II window). Therefore, we conclude that increased MPE in NIR-II window is responsible for the improved penetration depth in breast tissue in this region.

[1]  Qifa Zhou,et al.  Label-free automated three-dimensional imaging of whole organs by microtomy-assisted photoacoustic microscopy , 2017, Nature Communications.

[2]  Rhonnie Austria Dienzo,et al.  Pulsed Laser Diode-Based Desktop Photoacoustic Tomography for Monitoring Wash-In and Wash-Out of Dye in Rat Cortical Vasculature. , 2019, Journal of visualized experiments : JoVE.

[3]  Dirk J. Faber,et al.  A literature review and novel theoretical approach on the optical properties of whole blood , 2013, Lasers in Medical Science.

[4]  Mohesh Moothanchery,et al.  High-speed simultaneous multiscale photoacoustic microscopy , 2019, Journal of biomedical optics.

[5]  K. Togashi,et al.  Visualization of tumor-related blood vessels in human breast by photoacoustic imaging system with a hemispherical detector array , 2017, Scientific Reports.

[6]  Lei Xi,et al.  Design and evaluation of a compound acoustic lens for photoacoustic computed tomography. , 2017, Biomedical optics express.

[7]  M. Kronbichler,et al.  Optoacoustic image reconstruction: the full inverse problem with variable bases , 2018, Proceedings of the Royal Society A.

[8]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[9]  W. Marsden I and J , 2012 .

[10]  Manojit Pramanik,et al.  Monte Carlo simulation of light transport in turbid medium with embedded object—spherical, cylindrical, ellipsoidal, or cuboidal objects embedded within multilayered tissues , 2014, Journal of biomedical optics.

[11]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[12]  Manojit Pramanik,et al.  1064 nm acoustic resolution photoacoustic microscopy , 2019, Journal of biophotonics.

[13]  Rong-cai Jiang,et al.  Differences in pathological changes between two rat models of severe traumatic brain injury , 2019, Neural regeneration research.

[14]  Junjie Yao,et al.  Recent progress in photoacoustic molecular imaging. , 2018, Current opinion in chemical biology.

[15]  Manojit Pramanik,et al.  A Comparative Study of Continuous Versus Stop-and-Go Scanning in Circular Scanning Photoacoustic Tomography , 2019, IEEE Journal of Selected Topics in Quantum Electronics.

[16]  Carolyn L Bayer,et al.  Ultrasound-guided spectral photoacoustic imaging of hemoglobin oxygenation during development. , 2017, Biomedical optics express.

[17]  Lihong V. Wang,et al.  Prospects of Photo- and Thermoacoustic Imaging in Neurosurgery. , 2019, Neurosurgery.

[18]  Daniel Razansky,et al.  Listening to tissues with new light: recent technological advances in photoacoustic imaging , 2019, Journal of optics.

[19]  Vasilis Ntziachristos,et al.  A review of clinical photoacoustic imaging: Current and future trends , 2019, Photoacoustics.

[20]  R. Stephenson A and V , 1962, The British journal of ophthalmology.

[21]  Mark A. Anastasio,et al.  Full-view 3D imaging system for functional and anatomical screening of the breast , 2018, BiOS.

[22]  Gurneet S. Sangha,et al.  In vivo photoacoustic lipid imaging in mice using the second near-infrared window. , 2017, Biomedical optics express.

[23]  Li Lin,et al.  Photoacoustic computed tomography of human extremities , 2019, Journal of biomedical optics.

[24]  Gerhard Mitic,et al.  Measurements of the optical properties of breast tissue using time-resolved transillumination , 1995, Other Conferences.

[25]  Sara Gargiulo,et al.  State-of-the-Art Preclinical Photoacoustic Imaging in Oncology: Recent Advances in Cancer Theranostics , 2019, Contrast media & molecular imaging.

[26]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[27]  Qifa Zhou,et al.  Simultaneous photoacoustic microscopy of microvascular anatomy, oxygen saturation, and blood flow. , 2015, Optics letters.

[28]  Vasilis Ntziachristos,et al.  Optoacoustic mesoscopy for biomedicine , 2019, Nature Biomedical Engineering.

[29]  Lihong V. Wang,et al.  Photoacoustic Tomography: In Vivo Imaging from Organelles to Organs , 2012, Science.

[30]  Lin Wang,et al.  Comparative evaluations of the Monte Carlo-based light propagation simulation packages for optical imaging , 2018 .

[31]  Wiendelt Steenbergen,et al.  Twente Photoacoustic Mammoscope 2: system overview and three-dimensional vascular network images in healthy breasts , 2019, Journal of biomedical optics.

[32]  Makoto Yamakawa,et al.  Ring-array photoacoustic tomography for imaging human finger vasculature , 2019, Journal of biomedical optics.

[33]  L Wang,et al.  MCML--Monte Carlo modeling of light transport in multi-layered tissues. , 1995, Computer methods and programs in biomedicine.

[34]  Anjali Thomas,et al.  Photoacoustic elastography imaging: a review , 2019, Journal of biomedical optics.

[35]  S Shoham,et al.  Advanced optoacoustic methods for multiscale imaging of in vivo dynamics. , 2017, Chemical Society reviews.