Measurement of strain distribution in cortical bone around miniscrew implants used for orthodontic anchorage using digital speckle pattern interferometry

Kumar, Manoj; Agarwal, Rupali; Bhutani, Ravi; Shakher, Chandra

doi:10.1117/1.oe.55.5.054101

Cited by 34 publications

(6 citation statements)

References 39 publications

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“…The popularity of the technique, in optical metrology, is by virtue of the several advantages it offers such as: it is a non-contact/ invasive type technique; it provides full-field of view information; it is faster in operation as almost real-time observations can be obtained; investigations on largesize objects can be observed with the use of proper optics, and the technique is less sensitive to environmental perturbations in comparison with its counterparts. The DSPI technique has proven its capability in many investigations, e.g., for the measurement of displacement/deformation with variable sensitivity to in-plane and out-of-plane direction [22][23][24][25][26][27], measurement of three-dimensional shape [28][29][30], surface roughness measurement [31], vibration measurement/monitoring [32][33][34], measurement of material properties [35][36][37], flow visualization [38,39], measurement of refractive index and temperature distribution [40][41][42], and the investigation of the magnetic fields on the temperature profile of gaseous flames [43,44]. A Doctoral Thesis describing the comprehensive study of DSPI and some of its novel investigations is recommended for interested readers working in this field [48].…”

Section: Digital Speckle Pattern Interferometry (Dspi)mentioning

confidence: 99%

Fringe Pattern Analysis in Wavelet Domain

Tounsi¹,

Ghlaifan²,

Kumar³

et al. 2019

Holographic Materials and Applications

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We present a full-field technique for single fringe pattern analysis based on wavelet transform. Wavelets technique is a powerful method that quantifies at different scales how spatial energy is distributed. In the wavelets domain, fringe pattern analysis requires spatial modulation by a high-frequency carrier. We realize the modulation process numerically by combining the fringe pattern and its quadrature generated analytically by spiral phase transform. The first application concerns the speckle denoising by thresholding the two-dimensional stationary wavelet transform (2D-swt) coefficients of the detail sub-bands. In the second application, the phase derivatives are estimated from the 1D-continuous wavelet transform (1D-cwt) and 2D-cwt analysis of the modulated fringe pattern by extracting the extremum scales from the localized spatial frequencies. In the third application, the phase derivatives distribution is evaluated from the modulated fringe pattern by the maximum ridge of the 2D-cwt coefficients. The final application concerns the evaluation of the optical phase map using two-dimensional discrete wavelet transform (2D-dwt) decomposition of the modulated fringe pattern. The optical phase is computed as the arctangent function of the ratio between the detail components (high-frequency sub-bands) and the approximation components (low-frequency sub-bands). The performance of these methods is tested on numerical simulations and experimental fringes.Keywords: continuous wavelets transform (cwt), stationary wavelets transform (swt), discrete wavelets transform (dwt), fringe pattern analysis, residual speckle denoising Fringe Pattern Analysis in Wavelet Domain DOI: http://dx.doi.org/10.5772/intechopen.87943 Fringe Pattern Analysis in Wavelet Domain DOI: http://dx.doi.org/10.5772/intechopen.87943 Fringe Pattern Analysis in Wavelet Domain DOI: http://dx.

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Section: Digital Speckle Pattern Interferometry (Dspi)mentioning

confidence: 99%

Fringe Pattern Analysis in Wavelet Domain

Tounsi¹,

Ghlaifan²,

Kumar³

et al. 2019

Holographic Materials and Applications

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“…Besides, the interferometer can be used in medical treatment and detecting. The digital speckle pattern interferometry (DSPI) method can be used to measure the strain distribution in cortical bone around miniscrew implants [9] and temperature distribution of flames [10]. Reference [11], [12] expand the use of high speed digital holographic interferometer.…”

Section: Introductionmentioning

confidence: 99%

A New Very Long Baseline Interferometry Method Based on the Uplink Signal

Xue

2020

IEEE Access

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Very long baseline interferometry (VLBI) is widely used for astronomical observations and navigation of deep space receivers. To solve the problems of the downlink signal being excessively weak to be received and the excessively large acquisition time, a new VLBI measurement method based on the uplink signal is proposed. Deep space ground stations can provide radio measurement signals for deep space spacecraft via the uplink. The range, Doppler and VLBI can be determined by the spacecraft through signals from multiple ground stations. In this manner, a higher signal to noise ratio (SNR) can be obtained. This study involves the development of a prompt acquisition algorithm for high dynamic deep space signals. Furthermore, the measurement and tracking of the phases of multiple VLBI stations by deep space receiver employing the uplink are analyzed. The use of the algorithms reduce the acquisition time for deep space receiver, and high precision results can be obtained for the VLBI measurement. Compared with the traditional VLBI method, the ranging error on the same distance is effectively improved, and the angle measurement accuracy is better than delta differential one way ranging (DOR). Because multiple spacecraft are not needed, there are fewer limitations than same beam interferometry (SBI). INDEX TERMS Navigation, very long baseline interferometry, acquisition and tracking, interferometry.

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“…Digital speckle pattern interferometry (DSPI) has evolved to become one of the most accurate optical technique that is widely used for industrial measurements to study object deformations, vibrations, temperature gradients, material properties, defects, damage assessment, [1][2][3][4][5][6][7][8] among many other applications. It enables the full-field measurement of optical phase variations from the acquisition of speckle patterns.…”

Section: Introductionmentioning

confidence: 99%

Contribution study of monogenic wavelets transform to reduce speckle noise in digital speckle pattern interferometry

et al. 2019

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Wavelets shrinkage is the most illustrative of wavelets transform for speckle noise reduction. We aim to study the performance of a monogenic wavelet transform to reduce the speckle noise in digital speckle pattern interferometric fringes. The proposed method is implemented on simulated and experimental speckle fringe patterns and its performance is appraised on the basis of peak signal-to-noise ratio (PSNR) and quality index (Q). The ability to reduce the speckle noise by the proposed method is compared with other classical speckle denoising methods. The obtained results corroborate the effectiveness of the proposed method for speckle noise reduction in speckle fringes in terms of PSNR and Q. It is also observed that the method provides better qualitative and quantitative results. Furthermore, the proposed method preserves the edge information of the speckle fringes, a feature that is quantified by the edge preservation index.

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Measurement of strain distribution in cortical bone around miniscrew implants used for orthodontic anchorage using digital speckle pattern interferometry

Cited by 34 publications

References 39 publications

Fringe Pattern Analysis in Wavelet Domain

Fringe Pattern Analysis in Wavelet Domain

A New Very Long Baseline Interferometry Method Based on the Uplink Signal

Contribution study of monogenic wavelets transform to reduce speckle noise in digital speckle pattern interferometry

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