Laser vibrometry based on analysis of the speckle pattern from a remote object

Veber, Alexander; Lyashedko, A.D.; Шолохов, Е.М.; Trikshev, A. I.; Kurkov, A.S.; Pyrkov, Yu. N.; Veber, A. E.; Seregin, V. F.; Цветков, В. Б.

doi:10.1007/s00340-011-4585-1

Cited by 16 publications

(12 citation statements)

References 3 publications

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“…Fig. 2 shows the difference in the contrast obtained when the function parameters (T and τ c ) are fixed for both Lorentzian [see (7)] and Gaussian distributions [see (10)]. This figure shows that the largest differences, between the two profiles, are observed when the exposure time is equal to the laser speckle decorrelation time (T ≈ τ c ).…”

Section: Motion Distributionsmentioning

confidence: 99%

“…3. Errors between the theoretical speckle visibility equations [see (7) and (10)] and the shifted approximated equations [see (13) and (14)]. The steps to find this multiplier constant (C s = 0.57) were not detailed in the work of Smausz et al, but the visual inspection of the two curves (triangular weighting versus variable substitution) shows only small differences between them (see [44,Fig.…”

Section: Motion Distributionsmentioning

confidence: 99%

“…We therefore performed a simulation in order to find which is the proper C s for both Lorentzian and Gaussian distributions. The C s was swapped between 0.1 and 0.9 with steps of 0.01 and the resultant function was compared with the theoretically correct ones [see (7) and (10)]. The comparison was performed by computing the root mean square (RMS) deviation between the two functions within a window of interest (0.001 ≤ τ c /T ≤ 2).…”

Section: Motion Distributionsmentioning

confidence: 99%

“…The analysis of this blurring effect is the basis of laser speckle imaging (LSI) for biomedical applications, which can also be named laser speckle contrast imaging (LSCI). The designation LSI is associated with a two-dimensional (2-D) assessment technique used in many research fields and for many applications such as object velocity measurements [3], [4], surface roughness evaluation [5]- [7], laser vibrometry [8]- [10], and speech detection [11]. The biomedical applications of LSI will be discussed in more detail later in this study.…”

Section: Introductionmentioning

confidence: 99%

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Laser Speckle Imaging to Monitor Microvascular Blood Flow: A Review

Vaz

Humeau-Heurtier

Figueiras

et al. 2016

IEEE Rev. Biomed. Eng.

107

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Laser speckle is a complex interference phenomenon that can easily be understood, in concept, but is difficult to predict mathematically, because it is a stochastic process. The use of laser speckle to produce images, which can carry many types of information, is called laser speckle imaging (LSI). The biomedical applications of LSI started in 1981 and, since then, many scientists have improved the laser speckle theory and developed different imaging techniques. During this process, some inconsistencies have been propagated up to now. These inconsistencies should be clarified in order to avoid errors in future works. This review presents a review of the laser speckle theory used in biomedical applications. Moreover, we also make a review of the practical concepts that are useful in the construction of laser speckle imagers. This study is not only an exposition of the concepts that can be found in the literature but also a critical analysis of the investigations presented so far. Concepts like scatterers velocity distribution, effect of static scatterers, optimal speckle size, light penetration angle, and contrast computation algorithms are discussed in detail.

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Section: Motion Distributionsmentioning

confidence: 99%

Section: Motion Distributionsmentioning

confidence: 99%

Section: Motion Distributionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Laser Speckle Imaging to Monitor Microvascular Blood Flow: A Review

Vaz

Humeau-Heurtier

Figueiras

et al. 2016

IEEE Rev. Biomed. Eng.

107

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“…Beyond the limitations imposed by speckle, many useful applications of this interferometric effect have been proposed. LS-based techniques are successfully used to estimate two-dimensional blood flow [6,7], to investigate skin vibration [8,9], to measure water flow in plants [10], to assess vibrations modes of remote objects [11], to measure large-object deformations [12] and surfaces movement identification [13]. By using LS pattern analysis, it is also possible to extract information about the target roughness and displacement.…”

Section: Introductionmentioning

confidence: 99%

Which wavelength is the best for arterial pulse waveform extraction using laser speckle imaging?

Vaz

Pereira

Figueiras

et al. 2016

Biomedical Signal Processing and Control

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a b s t r a c tA multi-wavelengths analysis for pulse waveform extraction using laser speckle is conducted. The proposed system consists of three coherent light sources (532 nm, 635 nm, 850 nm). A bench-test composed of a moving skin-like phantom (silicone membrane) is used to compare the results obtained from different wavelengths. The system is able to identify a skin-like phantom vibration frequency, within physiological values, with a minimum error of 0.5 mHz for the 635 nm and 850 nm wavelengths and a minimum error of 1.3 mHz for the 532 nm light wavelength using a FFT-based algorithm. The phantom velocity profile is estimated with an error ranging from 27% to 9% using a bidimensional correlation coefficient-based algorithm. An in vivo trial is also conducted, using the 532 nm and 635 nm laser sources. The 850 nm light source has not been able to extract the pulse waveform. The heart rate is identified with a minimum error of 0.48 beats per minute for the 532 nm light source and a minimal error of 1.15 beats per minute for the 635 nm light source. Our work reveals that a laser speckle-based system with a 532 nm wavelength is able to give arterial pulse waveform with better results than those given with a 635 nm laser.

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