Wavelet transform-based photoacoustic time-frequency spectral analysis for bone assessment

Photoacoustics - Tập 22 - Trang 100259 - 2021
Weiya Xie1,2, Ting Feng1,3, Mengjiao Zhang1, Jiayan Li1, Dean Ta4, Liming Cheng2, Qian Cheng1,2
1Institute of Acoustics, School of Physics Science and Engineering, Tongji University, Shanghai, PR China
2The Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration, Ministry of Education, Department of Orthopaedics, Tongji Hospital, Tongji University School of Medicine, Shanghai, PR China
3School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, PR China
4Department of Electronic Engineering, Fudan University, Shanghai, PR China

Tài liệu tham khảo

Sozen, 2017, An overview and management of osteoporosis, Eur. J. Rheumatol., 4, 46, 10.5152/eurjrheum.2016.048 López, 1987, New approaches to the treatment of osteoporosis, Clin. Obstet. Gynecol., 4, 383 Pisani, 2013, Screening and early diagnosis of osteoporosis through X-ray and ultrasound based techniques, WJR, 5, 398, 10.4329/wjr.v5.i11.398 Albanese, 2011, Quantitative ultrasound of the phalanges and DXA of the lumbar spine and proximal femur in evaluating the risk of osteoporotic vertebral fracture in postmenopausal women, Radiol. Med., 116, 92, 10.1007/s11547-010-0577-1 1999 Chin, 2013, Calcaneal quantitative ultrasound as a determinant of bone health status: what properties of bone does it reflect?, Int. J. Med. Sci., 10, 1778, 10.7150/ijms.6765 Wang, 2011, Label-free bond-selective imaging by listening to vibrationally excited molecules, Phys. Rev. Lett., 106 Wang, 2016, A practical guide to photoacoustic tomography in the life sciences, Nat. Methods, 13, 627, 10.1038/nmeth.3925 Herman, 1938, Vibration spectra and molecular structure V. infra‐red studies on light and heavy acetic acids, J. Chem. Phys., 6, 534, 10.1063/1.1750308 Fadhel, 2019, Photoacoustic simulations of microvascular bleeding: spectral analysis and its application for monitoring vascular-targeted treatments, J. Biomed. Opt., 24, 1, 10.1117/1.JBO.24.11.116001 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, 2019, Insights into photoacoustic speckle and applications in tumor characterization, Photoacoustics, 14, 37, 10.1016/j.pacs.2019.02.002 Kumon, 2011, Frequency-domain analysis of photoacoustic imaging data from prostate adenocarcinoma tumors in a murine model, Ultrasound Med. Biol., 37, 834, 10.1016/j.ultrasmedbio.2011.01.012 Sebaa, 2006, Ultrasonic characterization of human cancellous bone using the Biot theory: inverse problem, J. Acoust. Soc. Am., 120, 1816, 10.1121/1.2335420 Haire, 1999, Biot theory: a review of its application to ultrasound propagation through cancellous bone, Bone, 24, 291, 10.1016/S8756-3282(99)00011-3 Fellah, 2004, Ultrasonic wave propagation in human cancellous bone, Application of Biot theory. J. Acoust.Soc. Am., 116, 61, 10.1121/1.1755239 Yang, 2015, Photoacoustic and ultrasound imaging of cancellous bone tissue, J. Biomed. Opt., 20, 10.1117/1.JBO.20.7.076016 Yang, 2015, Bone composition diagnostics: photoacoustics versus ultrasound, Int. J. Thermophys., 36, 862, 10.1007/s10765-014-1701-6 Lashkari, 2015, The application of backscattered ultrasound and photoacoustic signals for assessment of bone collagen and mineral contents, Quant. Imaging Med. Surg., 5, 12 Steinberg, 2013, Multispectral photoacoustic method for the early detection and diagnosis of osteoporosis Steinberg, 2016, Quantitative study of optical and mechanical bone status using multispectral photoacoustics, J. Biophoton., 9, 924, 10.1002/jbio.201500206 Steinberg, 2019, First-in-Human study of bone pathologies using low-cost and compact dual-wavelength photoacoustic system, IEEE J. Sel. Top. Quantum Electron., 25, 1, 10.1109/JSTQE.2018.2866702 Feng, 2015, Bone assessment via thermal photo-acoustic measurements, Opt. Lett., 40, 1721, 10.1364/OL.40.001721 Feng, 2020, Functional photoacoustic and ultrasonic assessment of osteoporosis: a clinical feasibility study, BME Frontiers, 2020, 1, 10.34133/2020/1081540 Feng, 2016, Study of photoacoustic measurement of bone health based on clinically relevant models Feng, 2015, Characterization of bone microstructure using photoacoustic spectrum analysis, Opt. Express, 9323, 25217, 10.1364/OE.23.025217 Daubechies, 1990, The wavelet transform, time-frequency localization and signal analysis, IEEE Trans. Inf. Theory, 36, 961, 10.1109/18.57199 Watson, 2000, A novel wavelet transform based analysis reveals hidden structure in ventricular fibrillation, Resuscitation, 43, 121, 10.1016/S0300-9572(99)00127-6 Wachowiak, 2016, Assessing heart rate variability through wavelet-based statistical measures, Comput. Biol. Med., 77, 222, 10.1016/j.compbiomed.2016.07.008 Faust, 2004, Analysis of cardiac signals using spatial filling index and time-frequency domain, Biomed. Eng. Online, 3, 30, 10.1186/1475-925X-3-30 Saxena, 2005, A methodology for analyzing vibration data from planetary gear systems using complex morlet wavelets, 4730 Abdi Monfared, 2019, Diagnosis of rotor broken bars faults in squirrel cage induction motor using continuous wavelet transform, Compel, 38, 167, 10.1108/COMPEL-11-2017-0487 Huo, 2017, Incipient fault diagnosis of roller bearing using optimized wavelet transform based multi-speed vibration signatures, IEEE Access, 5, 19442, 10.1109/ACCESS.2017.2661967 Kulesh, 2008, Geophysical wavelet library: applications of the continuous wavelet transform to the polarization and dispersion analysis of signals, Comput. Geosci., 34, 1732, 10.1016/j.cageo.2008.03.004 Cooper, 2009, Blocking geophysical borehole log data using the continuous wavelet transform, Explor. Geophys., 40, 233, 10.1071/EG08127 Perez, 1993 Torrence, 1998, A practical guide to wavelet analysis, Bull. Am. Meteorol. Soc., 79, 18, 10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2 Addison, 2002, Low-oscillation complex wavelets, J. Sound Vib., 254, 733, 10.1006/jsvi.2001.4119 Cox, 2007, k-space propagation models for acoustically heterogeneous media: application to biomedical photoacoustics, J. Acoust. Soc. Am., 121, 3453, 10.1121/1.2717409 Fang, 2005, Establishment of rabbit osteoporosis model by ovariectomy, Chin. J. Osteoporos. Parfitt, 1983, Relationships between surface, volume, and thickness of iliac trabecular bone in aging and in osteoporosis. Implications for the microanatomic and cellular mechanisms of bone loss, J. Clin. Invest., 72, 1396, 10.1172/JCI111096 Pifferi, 2004, Optical biopsy of bone tissue: a step toward the diagnosis of bone pathologies, J. Biomed. Opt., 9, 474, 10.1117/1.1691029 Baofeng, 2010, Characterization of a rabbit osteoporosis model induced by ovariectomy and glucocorticoid, Acta Orthop., 81, 396, 10.3109/17453674.2010.483986 Madden, 1997, Rapid decalcification of temporal bones with preservation of ultrastructure, Hear. Res., 111, 76, 10.1016/S0378-5955(97)00107-X Feng, 2020, Bone chemical composition assessment with multi-wavelength photoacoustic analysis, Appl. Sci., 10, 8214, 10.3390/app10228214 Yang, 2012, Photoacoustic tomography of tissue subwavelength microstructure with a narrowband and low frequency system, Appl. Phys. Lett., 101 Hosokawa, 1997, Ultrasonic wave propagation in bovine cancellous bone, J. Acoust. Soc. Am., 101, 558, 10.1121/1.418118 Wang, 2016, Photoacoustic measurement of bone health: a study for clinical feasibility, 1 Chaffaı́, 2002, Ultrasonic characterization of human cancellous bone using transmission and backscatter measurements: relationships to density and microstructure, Bone, 30, 229, 10.1016/S8756-3282(01)00650-0 Baran, 1988, Ultrasound attenuation of the Os calcis in women with osteoporosis and hip fractures, Calcif. Tissue Int., 43, 138, 10.1007/BF02571310 Han, 1996, Ultrasound velocity and broadband attenuation over a wide range of bone mineral density, Osteoporos. Int., 6, 291, 10.1007/BF01623387 Lee, 2003, Acoustic wave propagation in bovine cancellous bone: application of the modified biot–attenborough model, J. Acoust. Soc. Am., 114, 2284, 10.1121/1.1610450 Oelze, 2002, Characterization of tissue microstructure using ultrasonic backscatter: theory and technique for optimization using a Gaussian form factor, J. Acoust. Soc. Am., 112, 1202, 10.1121/1.1501278 Pifferi, 2004, Optical biopsy of bone tissue: a step toward the diagnosis of bone pathologies, J. Biomed. Opt., 9, 474, 10.1117/1.1691029 Shih, 2004, Correlation of bone marrow lipid water content with bone mineral density on the lumbar spine, Spine, 29, 2844, 10.1097/01.brs.0000147803.01224.5b Cordes, 2016, MR-based assessment of bone marrow fat in osteoporosis, diabetes, and obesity, Front. Endocrinol., 7, 10.3389/fendo.2016.00074 Feng, 2020, Bone chemical composition analysis using photoacoustic technique, Front. Phys., 8, 7, 10.3389/fphy.2020.601180 Lashkari, 2014, Coregistered photoacoustic and ultrasonic signatures of early bone density variations, J. Biomed. Opt., 19, 10.1117/1.JBO.19.3.036015 Buie, 2013, Micro-CT evaluation of bone defects: applications to osteolytic bone metastases, bone cysts, and fracture, Med. Eng. Phys., 35, 1645, 10.1016/j.medengphy.2013.05.016