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

Xie, Weiya; Tian, Feng; Zhang, Mengjiao; Li, Jiayan; Ta, Dean; Cheng, Liming; Cheng, Qian

doi:10.1016/j.pacs.2021.100259

Cited by 23 publications

(20 citation statements)

References 52 publications

(38 reference statements)

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“…The reason for this is that the poorer the differentiation, accompanied by the smaller size of glandular cavity structure appearing. It is consistent with the theory that PA signals produced from smaller size structures have higher acoustic frequency components [25] , [26] , [27] , [28] . To choose the region with the highest degree of malignancy, we propose the parameter PWMF.…”

Section: : Simulation Worksupporting

confidence: 91%

“…C1 (b), (e), (h) and C2 (b), (e), (h), the power-weight mean frequency (PWMF) along the time axis is different, which reflects the difference of tissue structural size at different location. With higher malignant degree, the smaller size of glandular cavity structure appearing, which lead to PA signals have higher acoustic frequency components [25] , [26] , [27] , [28] . As shown in Fig.…”

Section: : Photoacoustic Experimental Resultsmentioning

confidence: 99%

“…PASA is widely used in disease detection [22] , [23] , [26] , [27] , [28] , [29] , [30] because of its ability to accurately quantify molecular physicochemical information difference. However, because the human prostate biopsy needle strips are different from other disease models, the tumor region is usually less than half of its total length.…”

Section: Discussionmentioning

confidence: 99%

“…According to the characteristics of different diseases, different spectral parameters are extracted to quantify changes in the chemical components of the lesion. Previous studies used different PA spectral parameters to study vascular diseases [25] and bone health [26] , [27] , [28] as well as to identify cancer [22] , [23] , [29] , [30] , [31] . In our previous study, we conducted PASA on the entire effective signal; this is because the PA spectral parameter slope indicates the proportion of the high- and low-frequency components of the entire effective signal generated by whole biological tissue [23] , [24] , [29] , [30] , [31] .…”

Section: Introductionmentioning

confidence: 99%

“…The CWT technique has been applied in numerous fields, including cardiovascular health assessment [33] , [34] , [35] , instrument fault detection [36] , [37] , and geophysics [38] , [39] . In PA research, the CWT technique has been applied to assess bone health via evaluation of the frequency-related propagation attenuation of different bone samples [28] , [40] . Using CWT, we can acquire the distribution of frequency information along the 15 mm biopsy needle strip.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Quick identification of prostate cancer by wavelet transform-based photoacoustic power spectrum analysis

Liu

Chen

et al. 2022

Photoacoustics

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Pathology is currently the gold standard for grading prostate cancer (PCa). However, pathology takes considerable time to provide a final result and is significantly dependent on subjective judgment. In this study, wavelet transform-based photoacoustic power spectrum analysis (WT-PASA) was used for grading PCa with different Gleason scores (GSs). The tumor region was accurately identified via wavelet transform time-frequency analysis. Then, a linear fitting was conducted on the photoacoustic power spectrum curve of the tumor region to obtain the quantified spectral parameter slope . The results showed that high GSs have small glandular cavity structures and higher heterogeneity, and consequently, the slopes at both 1210 nm and 1310 nm were high ( p < 0.01). The classification accuracy of the PA time frequency spectrum (PA-TFS) of tumor region using ResNet-18 was 89% at 1210 nm and 92.7% at 1310 nm. Further, the testing time was less than 7 mins. The results demonstrated that identification of PCa can be rapidly and objectively realized using WT-PASA.

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Section: : Simulation Worksupporting

confidence: 91%

Section: : Photoacoustic Experimental Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Quick identification of prostate cancer by wavelet transform-based photoacoustic power spectrum analysis

Liu

Chen

et al. 2022

Photoacoustics

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Development of a semi‐anthropomorphic photoacoustic calcaneus phantom based on nano computed tomography and stereolithography 3D printing

Xu,

Locke,

Morris

et al. 2023

Journal Orthopaedic Research

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Osteoporosis is a major public health threat with significant physical, psychosocial and financial consequences. The calcaneus bone has been used as a measurement site for risk prediction of osteoporosis by non‐invasive quantitative ultrasound (QUS). By adding optical contrast to QUS, our previous studies indicate that a combination of photoacoustic (PA) and QUS, i.e., PAQUS, provides a novel opportunity to assess the health of human calcaneus. Calibration of the PAQUS system is crucial to realize quantitative and repeatable measurements of the calcaneus. Therefore, a phantom which simulates the optical, ultrasound, and architectural properties of the human calcaneus, for PAQUS system calibration, is required. Additionally, a controllable phantom offers researchers a versatile framework for developing versatile structures, allowing more controlled assessment of how varying bone structures cause defined alterations in PA and QUS signals. In this work, we present the first semi‐anthropomorphic calcaneus phantom for PAQUS. The phantom was developed based on nano computed‐tomography (nano‐CT) and stereolithography (SLA) 3D printing, aiming to maximize accuracy in the approximation of both trabecular and cortical bone microstructures. Compared with the original digital input calcaneus model from a human cadaveric donor, the printed model achieved accuracies of 71.15% in total structure and 87.21% in bone volume fraction (BVF). Inorganic materials including synthetic blood, mineral oil, intralipid, and agar gel were used to model the substitutes of bone marrow and soft tissue, filling and covering the calcaneus phantom. The ultrasound and optical properties of this phantom were measured, and the results were consistent with those measured by a commercialized device and from previous in vivo studies. In addition, a short‐term stability test was conducted for this phantom, demonstrating that the optical and ultrasound properties of the phantom were stable without significant variation over one month. This semi‐anthropomorphic calcaneus phantom shows structural, ultrasound, and optical properties similar to those from a human calcaneus in vivo and, thereby, can serve as an effective source for equipment calibration and the comprehensive study of human patients.This article is protected by copyright. All rights reserved.

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Characterization of multi-biomarkers for bone health assessment based on photoacoustic physicochemical analysis method

Tian

Xie

et al. 2022

Photoacoustics

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Photoacoustic (PA) techniques are potential alternatives to histopathology. The physicochemical spectrogram (PCS) generated by the PA measurement at multiple wavelengths can presents the morphology and chemical composition target at multi-biomarkers simultaneously. In this work, via multi-wavelength PA measurements performed on rabbit bone models, we investigated the feasibility of using PCSs for bone health assessment. A comprehensive analysis of the PCSs, termed PA physicochemical analysis (PAPCA), was conducted. The “ slope ” and “ relative content ” were used as the PAPCA-quantified parameters to characterize the changes in the physical and chemical properties of bone tissue, respectively. The findings are consistent well with the gold-standard imaging results. It demonstrated that the PAPCA can be used to characterize both the microstructure and content of multi-biomarkers which highly related with bone health. Considering the PA technique is noninvasive and radiation-free, it has great potential in the implementation and monitoring of bone diseases progression.

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

Cited by 23 publications

References 52 publications

Quick identification of prostate cancer by wavelet transform-based photoacoustic power spectrum analysis

Quick identification of prostate cancer by wavelet transform-based photoacoustic power spectrum analysis

Development of a semi‐anthropomorphic photoacoustic calcaneus phantom based on nano computed tomography and stereolithography 3D printing

Characterization of multi-biomarkers for bone health assessment based on photoacoustic physicochemical analysis method

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