A Comparative Study for the Assessment on Blood Flow Measurement Using Self-Mixing Laser Speckle Interferometer

Özdemir, Şahin Kaya; Ohno, I.; Shinohara, S.

doi:10.1109/tim.2007.909473

Cited by 40 publications

(29 citation statements)

References 24 publications

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“…The resulting signal is the binary pulse train. The number of pulses during a measuring time is the speckle frequency which is related with the velocity of the moving object [18,19,22]. A pulse train obtained from the speckle signal can be seen in Fig.…”

Section: Counting Methodsmentioning

confidence: 99%

“…The AM is based on computing the time when the autocorrelation function drops to a fraction of its maximum value. This time is called the autocorrelation time, s [22]. Then the reciprocal of the autocorrelation time is computed.…”

Section: Autocorrelation Methodsmentioning

confidence: 99%

“…This Doppler frequency shift carries information on the distance, velocity, and surface of the target. It can be measured as a signal component in the pump current of the laser or as a signal of a monitor photodiode, which is frequently positioned at the backside of the laser for laser light power monitoring [22]. Contrary to conventional LDF measurement systems, in self-mixing interferometry, only one optical axis is needed since the source and detection planes are along the same optical axis.…”

Section: Basic Principles and Measuring Systemmentioning

confidence: 99%

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Self-mixing microprobe for monitoring microvascular perfusion in rat brain

Figueiras

Oliveira

Lourenço

et al. 2012

Med Biol Eng Comput

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Measuring functional activity in brain in connection with neural stimulation faces technological challenges. Our goal is to evaluate, in relative terms, the real-time variations of local cerebral blood flow in rat brain, with a convenient spatial resolution. The use of laser Doppler flowmetry (LDF) probes is a promising approach but commercially available LDF probes are still too large (450 lm) to allow insertion in brain tissue without causing damage in an extension that may negatively impact local measurements. The self-mixing technique coupled to LDF is herein proposed to overcome limitations of the minimal diameter of the probe imposed by non-self-mixing probes (commercial available probes). Our Monte Carlo simulations show that laser photons have a mean penetration depth of 0.15 mm, on the rat brain with the 785 nm laser light microprobe. Moreover, three self-mixing signal processing methods are tested: counting method, autocorrelation method, power spectrum method. The perfusion signal computed shows a good linearity with the scatterers velocity, for the three methods (a determination coefficient close to one is obtained), for the in vitro measurements. Furthermore, we believe that these indicators can be used to monitor local blood flow changes in the rat brain.

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Section: Counting Methodsmentioning

confidence: 99%

Section: Autocorrelation Methodsmentioning

confidence: 99%

Section: Basic Principles and Measuring Systemmentioning

confidence: 99%

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Self-mixing microprobe for monitoring microvascular perfusion in rat brain

Figueiras

Oliveira

Lourenço

et al. 2012

Med Biol Eng Comput

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“…Mainly used for velocity [2], absolute distance [3], vibration and displacement of solid targets [4]- [6], this technique has been recently extended to flow measurements [7].…”

Section: Introductionmentioning

confidence: 99%

In-situ measurement of non-steady flows using optical feedback interferometry

Ramírez-Miquet

Arriaga

Quotb

et al. 2015

2015 IEEE International Conference on Industrial Technology (ICIT)

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Abstract-We present a real-time system for flow measurement in millifluidic configuration based on optical feedback interferometry. The sensing method exploits the power spectral density information of the acquired signals affected by the backscattered light of particles contained in a fluid. We validate experimentally the method on-site by reconstructing the periodicity of nonsteady flows of a peristaltic pump. This demonstrates potential applications for flow assessments in closed liquid-filled circuits.

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“…SMI has been used and characterized extensively for measurement of displacement [24], [25], distance [26], vibration [27], speed [19], and flow [28], [29] in different dimensional scales. On the other hand, ablation depth monitoring requires demanding measurement accuracy, in a scale comparable with the resolution of the device.…”

mentioning

confidence: 99%

Evaluation of Self-Mixing Interferometry Performance in the Measurement of Ablation Depth

Demir

Colombo

Norgia

et al. 2016

IEEE Trans. Instrum. Meas.

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Abstract-This paper studies self-mixing interferometry (SMI) for measuring ablation depth during laser percussion drilling of TiAlN ceramic coating. The measurement performance of SMI was investigated in a large processing range producing blind microholes with depths below and beyond the average coating thickness. Signal characteristics of the measurement system were evaluated indicating sources of disturbance. The SMI measurements were compared with a conventional measurement device based on focus variation microscopy to evaluate the measurement error. The measurement error classes were defined, as well as defining the related error sources. The results depict that the measurement error was independent of the processing condition, hence the hole geometry and ablation rate. For 76% of cases, measurement error was below the intrinsic device resolution obtainable by simple fringe counting of half a wavelength (λ/2 = 0.393 μm).

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A Comparative Study for the Assessment on Blood Flow Measurement Using Self-Mixing Laser Speckle Interferometer

Cited by 40 publications

References 24 publications

Self-mixing microprobe for monitoring microvascular perfusion in rat brain

Self-mixing microprobe for monitoring microvascular perfusion in rat brain

In-situ measurement of non-steady flows using optical feedback interferometry

Evaluation of Self-Mixing Interferometry Performance in the Measurement of Ablation Depth

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