Insights into photoacoustic speckle and applications in tumor characterization

Wang, 2012, Photoacoustic tomography: in vivo imaging from organelles to organs, Science, 335, 1458, 10.1126/science.1216210 Taruttis, 2012, Fast multispectral optoacoustic tomography (MSOT) for dynamic imaging of pharmacokinetics and biodistribution in multiple organs, PLoS One, 7, e30491, 10.1371/journal.pone.0030491 Nasiriavanaki, 2014, High-resolution photoacoustic tomography of resting-state functional connectivity in the mouse brain, Proc. Natl. Acad. Sci., 111, 21, 10.1073/pnas.1311868111 Kim, 2018, Multispectral ex vivo photoacoustic imaging of cutaneous melanoma for better selection of the excision margin, Br. J. Dermatol., 179, 780, 10.1111/bjd.16677 Knieling, 2017, Multispectral optoacoustic tomography for assessment of Crohn’s disease activity, N. Engl. J. Med., 376, 1292, 10.1056/NEJMc1612455 Neuschler, 2017, A pivotal study of optoacoustic imaging to diagnose benign and malignant breast masses: a new evaluation tool for radiologists, Radiology, 172228 Mallidi, 2015, Prediction of tumor recurrence and therapy monitoring using ultrasound-guided photoacoustic imaging, Theranostics, 5, 289, 10.7150/thno.10155 May, 2016, Photoacoustic imaging of cancer treatment response: early detection of therapeutic effect from thermosensitive liposomes, PLoS One, 11, e0165345, 10.1371/journal.pone.0165345 Hysi, 2017, Photoacoustic signal characterization of cancer treatment response: correlation with changes in tumor oxygenation, Photoacoustics, 5, 25, 10.1016/j.pacs.2017.03.003 Xie, 2017, Optoacoustic detection of early therapy-induced tumor cell death using a targeted imaging agent, Clin. Cancer Res. Off. J. Am. Assoc. Cancer Res., 23, 6893, 10.1158/1078-0432.CCR-17-1029 Neuschmelting, 2018, WST11 vascular targeted photodynamic therapy effect monitoring by multispectral optoacoustic tomography (MSOT) in mice, Theranostics, 8, 723, 10.7150/thno.20386 Dainty, 2013 Burckhardt, 1978, Speckle in ultrasound B-mode scans, IEEE Trans. Sonics Ultrason., 25, 1, 10.1109/T-SU.1978.30978 Wang, 2016 Thijssen, 1985, Texture in B-Mode echograms: a simulation study of the effects of diffraction and of scatterer density on gray scale statistics, vol. 14, 481 Flax, 1981, Textural variations in B-mode ultrasonography: a stochastic model, Ultrason. Imaging, 3, 235, 10.1177/016173468100300302 Wagner, 1988, Fundamental correlation lengths of coherent speckle in medical ultrasonic images, IEEE Trans. Ultrason. Ferroelectr. Freq. Control, 35, 34, 10.1109/58.4145 Diebold, 1990, Photoacoustic ‘signatures’ of particulate matter: optical production of acoustic monopole radiation, Science, 250, 101, 10.1126/science.250.4977.101 Szabo, 2013 Moore, 2018, Simultaneous ultra-high frequency photoacoustic microscopy and photoacoustic radiometry of zebrafish larvae in vivo, Photoacoustics, 12, 14, 10.1016/j.pacs.2018.08.004 Hysi, 2014, Probing different biological length scales using photoacoustics: from 1 to 1000 MHz, 1 Yao, 2014, Sensitivity of photoacoustic microscopy, Photoacoustics, 2, 87, 10.1016/j.pacs.2014.04.002 Saha, 2012, Validity of a theoretical model to examine blood oxygenation dependent optoacoustics, J. Biomed. Opt., 17, 0550021, 10.1117/1.JBO.17.5.055002 Guo, 2009, On the speckle-free nature of photoacoustic tomography, Med. Phys., 36, 4084, 10.1118/1.3187231 Guo, 2012, Dependence of photoacoustic speckles on boundary roughness, J. Biomed. Opt., 17, 046009, 10.1117/1.JBO.17.4.046009 Dean-Ben, 2016, On the link between the speckle free nature of optoacoustics and visibility of structures in limited-view tomography, Photoacoustics, 4, 133, 10.1016/j.pacs.2016.10.001 Mehrmohammadi, 2013, In vivo pulsed magneto-motive ultrasound imaging using high-performance magnetoactive contrast nanoagents, Nanoscale, 5, 11179, 10.1039/c3nr03669c Xu, 2016, High resolution physio-chemical tissue analysis: towards non-invasive in vivo biopsy, Sci. Rep., 6, 16937, 10.1038/srep16937 Karmakar, 2015, Realistic photoacoustic image simulations of collections of solid spheres using linear array transducer, Presented at the Photons Plus Ultrasound: Imaging and Sensing 2015, 9323, 932339 Bok, 2016, Simultaneous assessment of red blood cell aggregation and oxygen saturation under pulsatile flow using high-frequency photoacoustics, Biomed. Opt. Express, 7, 2769, 10.1364/BOE.7.002769 Bok, 2017, Preliminary photoacoustic imaging of the human radial artery for simultaneous assessment of Red blood cell aggregation and oxygen saturation in vivo, 1 Bok, 2018, In vitro photoacoustic spectroscopy of pulsatile blood flow: probing the interrelationship between red blood cell aggregation and oxygen saturation, J. Biophotonics 2013 Mamou, 2011, Three-dimensional high-frequency backscatter and envelope quantification of cancerous human lymph nodes, Ultrasound Med. Biol., 37, 345, 10.1016/j.ultrasmedbio.2010.11.020 Saha, 2011, Assessment of accuracy of the structure-factor-size-estimator method in determining red blood cell aggregate size from ultrasound spectral backscatter coefficient, J. Acoust. Soc. Am., 129, 2269, 10.1121/1.3561653 Sadeghi-Naini, 2017, Chemotherapy-response monitoring of breast cancer patients using quantitative ultrasound-based intra-tumour heterogeneities, Sci. Rep., 7, 10352, 10.1038/s41598-017-09678-0 Wang, 2008, Tutorial on photoacoustic microscopy and computed tomography, IEEE J. Sel. Top. Quantum Electron., 14, 171, 10.1109/JSTQE.2007.913398 Zalev, 2011, Detecting abnormal vasculature from photoacoustic signals using wavelet-packet features, Proc. SPIE, 7899, 10.1117/12.873911 Umchid, 2009, Directivity pattern measurement of ultrasound transducers, Int. J. Appl. Biomed. Eng. IJABME, 2, 39 Shankar, 2000, A general statistical model for ultrasonic backscattering from tissues, IEEE Trans. Ultrason. Ferroelectr. Freq. Control, 47, 727, 10.1109/58.842062 Foster, 1983, Computer simulations of speckle in B-Scan images, Ultrason. Imaging, 5, 308, 10.1177/016173468300500403 Lizzi, 1987, Relationship of ultrasonic spectral parameters to features of tissue microstructure, IEEE Trans. Ultrason. Ferroelectr. Freq. Control, 34, 319, 10.1109/T-UFFC.1987.26950 Wear, 1993, Application of autoregressive spectral analysis to cepstral estimation of mean scatterer spacing, IEEE Trans. Ultrason. Ferroelectr. Freq. Control, 40, 50, 10.1109/58.184998 Needles, 2013, Development and initial application of a fully integrated photoacoustic micro-ultrasound system, IEEE Trans. Ultrason. Ferroelectr. Freq. Control, 60, 888, 10.1109/TUFFC.2013.2646 Hysi, 2014, Photoacoustic tissue characterization using envelope statistics and ultrasonic spectral parameters, Proc. SPIE, 8943 Baish, 2000, Fractals and cancer, Cancer Res., 60, 3683 Karshafian, 2003, Transit time kinetics in ordered and disordered vascular trees, Phys. Med. Biol., 48, 3225, 10.1088/0031-9155/48/19/009 Jain, 2014, The role of mechanical forces in tumor growth and therapy, Annu. Rev. Biomed. Eng., 16, 321, 10.1146/annurev-bioeng-071813-105259 von Baumgarten, 2011, Bevacizumab has differential and dose-dependent effects on glioma blood vessels and tumor cells, Clin. Cancer Res., 17, 6192, 10.1158/1078-0432.CCR-10-1868 Mathivet, 2017, Dynamic stroma reorganization drives blood vessel dysmorphia during glioma growth, EMBO Mol. Med., 9, 1629, 10.15252/emmm.201607445 Molthen, 1995, Characterization of ultrasonic B-scans using non-rayleigh statistics, Ultrasound Med. Biol., 21, 161, 10.1016/S0301-5629(94)00105-7 Tsui, 2010, Ultrasonic nakagami imaging: a strategy to visualize the scatterer properties of benign and malignant breast tumors, Ultrasound Med. Biol., 36, 209, 10.1016/j.ultrasmedbio.2009.10.006 Chauhan, 2012, Normalization of tumour blood vessels improves the delivery of nanomedicines in a size-dependent manner, Nat. Nanotechnol., 7, 383, 10.1038/nnano.2012.45 Allen, 2012, 82230P Feng, 2016, Characterizing cellular morphology by photoacoustic spectrum analysis with an ultra-broadband optical ultrasonic detector, Opt. Express, 24, 19853, 10.1364/OE.24.019853 Xu, 2015, Photoacoustic spectrum analysis for microstructure characterization in biological tissue: analytical model, Ultrasound Med. Biol., 41, 1473, 10.1016/j.ultrasmedbio.2015.01.010 Hysi, 2012, Photoacoustic ultrasound spectroscopy for assessing red blood cell aggregation and oxygenation, J. Biomed. Opt., 17, 10.1117/1.JBO.17.12.125006 Wang, 2015, Theoretical and experimental study of spectral characteristics of the photoacoustic signal from stochastically distributed particles, IEEE Trans. Ultrason. Ferroelectr. Freq. Control, 62, 1245, 10.1109/TUFFC.2014.006806 Zhou, 2013, Ultrasonic evaluation of microwave-induced thermal lesions based on wavelet analysis of mean scatterer spacing, Ultrasonics, 53, 1325, 10.1016/j.ultras.2013.03.018 Folkman, 2003, Fundamental concepts of the angiogenic process, Curr. Mol. Med., 3, 643, 10.2174/1566524033479465 Cox, 2012, Quantitative spectroscopic photoacoustic imaging: a review, J. Biomed. Opt., 17, 061202, 10.1117/1.JBO.17.6.061202 Treeby, 2013, Acoustic attenuation compensation in photoacoustic tomography using time-variant filtering, J. Biomed. Opt., 18, 10.1117/1.JBO.18.3.036008 Cash, 2015, Optical drug monitoring: photoacoustic imaging of nanosensors to monitor therapeutic lithium in Vivo, ACS Nano, 9, 1692, 10.1021/nn5064858 Aguirre, 2017, Precision assessment of label-free psoriasis biomarkers with ultra-broadband optoacoustic mesoscopy, Nat. Biomed. Eng., 1, 0068, 10.1038/s41551-017-0068 Less, 1991, Microvascular architecture in a mammary carcinoma: branching patterns and vessel dimensions, Cancer Res., 51, 265 Rich, 2016, Photoacoustic monitoring of tumor and normal tissue response to radiation, Sci. Rep., 6, 21237, 10.1038/srep21237 Rich, 2018, Photoacoustic imaging as an early biomarker of radio therapeutic efficacy in head and neck cancer, Theranostics, 8, 2064, 10.7150/thno.21708 Luke, 2014, Sentinel lymph node biopsy revisited: ultrasound-guided photoacoustic detection of micrometastases using molecularly targeted plasmonic nanosensors, Cancer Res., 74, 5397, 10.1158/0008-5472.CAN-14-0796 Ophir, 1999, Elastography: ultrasonic estimation and imaging of the elastic properties of tissues, Proc. Inst. Mech. Eng., 213, 203, 10.1243/0954411991534933