Algorithm for Excitation Optimization of Fabry–Pérot Filters Used in Swept Sources

Avanaki, Kamran; Bradu, Adrian; Трифанов, И В; Ribeiro, A. B. Lobo; Hojjatoleslami, Ali; Podoleanu, Adrian Gh.

doi:10.1109/lpt.2013.2240292

Cited by 14 publications

(8 citation statements)

References 7 publications

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“…With regards to optimization, utilizing optimization methods such as the simulated annealing algorithm or Genetic algorithm along with an effective cost function will allow an automated and more effective calibration [60,[75][76][77][78][79][80][81].…”

Section: Discussionmentioning

confidence: 99%

Development of a Stationary 3D Photoacoustic Imaging System Using Sparse Single-Element Transducers: Phantom Study

et al. 2019

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Photoacoustic imaging (PAI) is an emerging label-free and non-invasive modality for imaging biological tissues. PAI has been implemented in different configurations, one of which is photoacoustic computed tomography (PACT) with a potential wide range of applications, including brain and breast imaging. Hemispherical Array PACT (HA-PACT) is a variation of PACT that has solved the limited detection-view problem. Here, we designed an HA-PACT system consisting of 50 single element transducers. For implementation, we initially performed a simulation study, with parameters close to those in practice, to determine the relationship between the number of transducers and the quality of the reconstructed image. We then used the greatest number of transducers possible on the hemisphere and imaged copper wire phantoms coated with a light absorbing material to evaluate the performance of the system. Several practical issues such as light illumination, arrangement of the transducers, and an image reconstruction algorithm have been comprehensively studied.

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Section: Discussionmentioning

confidence: 99%

Development of a Stationary 3D Photoacoustic Imaging System Using Sparse Single-Element Transducers: Phantom Study

et al. 2019

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“…34,36 This algorithm has previously been used for the optimization of optical systems. [37][38][39][40][41] We have also implemented this algorithm for the optimization of optical systems. 34,40,[42][43][44] Initially, a control parameter, T (analogous to the substance temperature) is assigned to a known value and a random phase map x is generated.…”

Section: Methodsmentioning

confidence: 99%

“…4,12,[14][15][16][17][18][19][20] We have also implemented several optimization algorithms for wavefront shaping purposes. [21][22][23][24][25][26][27] In this study, we compare the performance of six of these optimization algorithms: Continuous Sequential (CS) algorithm, Partitioning Algorithm (PA), Transmission Matrix (TM) estimation method, Particle Swarm Optimization (PSO) method, Genetic Algorithm (GA) and Simulated Annealing (SA) algorithm in terms of their enhancement, stability and initial convergence speed. We have developed these algorithms and evaluated them.…”

Section: Introductionmentioning

confidence: 99%

A comparative study of optimization algorithms for wavefront shaping

Fayyaz

Mohammadian

Tabar

et al. 2019

J. Innov. Opt. Health Sci.

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By manipulating the phase map of a wavefront of light using a spatial light modulator, the scattered light can be sharply focused on a speci¯c target. Several iterative optimization algorithms for obtaining the optimum phase map have been explored. However, there has not been a comparative study on the performance of these algorithms. In this paper, six optimization algorithms for wavefront shaping including continuous sequential, partitioning algorithm, transmission matrix estimation method, particle swarm optimization, genetic algorithm (GA), and simulated annealing (SA) are discussed and compared based on their e±ciency when introduced with various measurement noise levels.

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“…A feature that makes FP-TF devices attractive for this type of laser is their all-fibre optics platform. Such a combination gives high performance, reliability, low cost, and design flexibility, which allows customization to achieve different spectral regions, sweep range, coherence length, and power level [5,[20][21].…”

Section: Experimental Ss-oct Set-upmentioning

confidence: 99%

“…The frequency of the waveform determines the tuning rate of the source or the A-scan acquisition speed of the OCT system. Similar circuitry to that reported before [21] was employed. This employed a PCI-6110, 12-bit PCI input/output DAQ card from National Instrument, together with a SH68-68EP cable and BNC-2110 connector block.…”

Section: Experimental Ss-oct Set-upmentioning

confidence: 99%

Optimization of excitation of fiber Fabry–Perot tunable filters used in swept lasers using a phase-correction method

2017

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In this paper we investigate a phase-correction method for compensation of the nonlinearity of conventional wavelength-swept laser sources based on a fiber Fabry-Perot tunable filter as a wavelength selective element. A triangular waveform signal is commonly used to drive the filter. We, however, extract the zero crossings from the interferograms and modify the shape of the triangular signal accordingly. This algorithm was tested for different values of the optical path length difference in the interferometer setup. Significant compensation for the nonlinearity of the filter was obtained.

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Algorithm for Excitation Optimization of Fabry–Pérot Filters Used in Swept Sources

Cited by 14 publications

References 7 publications

Development of a Stationary 3D Photoacoustic Imaging System Using Sparse Single-Element Transducers: Phantom Study

Development of a Stationary 3D Photoacoustic Imaging System Using Sparse Single-Element Transducers: Phantom Study

A comparative study of optimization algorithms for wavefront shaping

Optimization of excitation of fiber Fabry–Perot tunable filters used in swept lasers using a phase-correction method

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