Hidden stage of intracranial hemorrhage in newborn rats studied with laser speckle contrast imaging and wavelets

Павлов, А. Н.; Abdurashitov, Arkady S.; Pavlova, O. N.; Tuchin, Valery V.; Sindeeva, Olga A.; Sindeev, Sergey S.; Semyachkina-Glushkovskaya, Oxana

doi:10.1142/s1793545815500418

Cited by 9 publications

(5 citation statements)

References 26 publications

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“…That is, with single shot imaging, a flow map with a large field of view and high spatiotemporal resolution is obtained. Various applications based on this camera-based imaging concept have been used to observe dynamic blood flow or tissue perfusion in the near-surface such as in skin, 65,66 75 and during human neurosurgery.…”

Section: Dual-wavelength Laser Speckle Imagingmentioning

confidence: 99%

Noninvasive assessment of hemodynamic and brain metabolism parameters following closed head injury in a mouse model by comparative diffuse optical reflectance approaches

et al. 2016

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Abstract. Optical techniques have gained substantial interest over the past four decades for biomedical imaging due to their unique advantages, which may suggest their use as alternatives to conventional methodologies. Several optical techniques have been successfully adapted to clinical practice and biomedical research to monitor tissue structure and function in both humans and animal models. This paper reviews the analysis of the optical properties of brain tissue in the wavelength range between 500 and 1000 nm by three different diffuse optical reflectance methods: spatially modulated illumination, orthogonal diffuse light spectroscopy, and dualwavelength laser speckle imaging, to monitor changes in brain tissue morphology, chromophore content, and metabolism following head injury. After induction of closed head injury upon anesthetized mice by weight-drop method, significant changes in hemoglobin oxygen saturation, blood flow, and metabolism were readily detectible by all three optical setups, up to 1 h post-trauma. Furthermore, the experimental results clearly demonstrate the feasibility and reliability of the three methodologies, and the differences between the system performances and capabilities are also discussed. The long-term goal of this line of study is to combine these optical systems to study brain pathophysiology in high spatiotemporal resolution using additional models of brain trauma. Such combined use of complementary algorithms should fill the gaps in each system's capabilities, toward the development of a noninvasive, quantitative tool to expand our knowledge of the principles underlying brain function following trauma, and to monitor the efficacy of therapeutic interventions in the clinic.

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Section: Dual-wavelength Laser Speckle Imagingmentioning

confidence: 99%

Noninvasive assessment of hemodynamic and brain metabolism parameters following closed head injury in a mouse model by comparative diffuse optical reflectance approaches

et al. 2016

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“…Unlike previous studies [15,16] , here we quantify complexity of the CBF-dynamics associated with individual regulatory mechanics and analyze how the pharmacologically induced acute peripheral hypertension influences the blood flow velocity in cerebral vessels of different size. In order to do this, three complexity measures are estimated for each rat describing the macroscopic CBF-dynamics in the sagittal sinus related to the frequency ranges I, II, and III.…”

Section: Resultsmentioning

confidence: 99%

“…Recent works showed an essential potential of the WTMMapproach in characterizing functional distortions in the cerebrovascular dynamics [15,16] . To assess such distortions noninvasively, changes in the cerebral blood flow (CBF) are typically analyzed with the laser speckle contrast imaging (LSCI) [17,18] or other optical coherent-domain methods that possess a high spatio-temporal resolution.…”

Section: Introductionmentioning

confidence: 99%

Multifractality in cerebrovascular dynamics: an approach for mechanisms-related analysis

Павлов

Semyachkina-Glushkovskaya

Pavlova

et al. 2016

Chaos, Solitons & Fractals

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“…In fact, noise signal reduction step is an essential part of many medical image processing applications, i.e., classi¯cation recognition and other application tasks. [1][2][3] Wavelet transform with Bayesian estimator has been proposed as a powerful tool for image denoising. 4 In fact, Bayesian methods require a prior distribution of wavelet coe±cients and use minimum mean square error (MMSE) or maximum a posteriori (MAP) estimations to derive the mapping function (also known as shrinkage function) from noisy data to estimated data.…”

Section: Introductionmentioning

confidence: 99%

Image enhancement via MMSE estimation of Gaussian scale mixture with Maxwell density in AWGN

Kittisuwan

2016

J. Innov. Opt. Health Sci.

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In optical techniques, noise signal is a classical problem in medical image processing. Recently, there has been considerable interest in using the wavelet transform with Bayesian estimation as a powerful tool for recovering image from noisy data. In wavelet domain, if Bayesian estimator is used for denoising problem, the solution requires a prior knowledge about the distribution of wavelet coe±cients. Indeed, wavelet coe±cients might be better modeled by super Gaussian density. The super Gaussian density can be generated by Gaussian scale mixture (GSM). So, we present new minimum mean square error (MMSE) estimator for spherically-contoured GSM with Maxwell distribution in additive white Gaussian noise (AWGN). We compare our proposed method to current state-of-the-art method applied on standard test image and we quantify achieved performance improvement.

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Hidden stage of intracranial hemorrhage in newborn rats studied with laser speckle contrast imaging and wavelets

Cited by 9 publications

References 26 publications

Noninvasive assessment of hemodynamic and brain metabolism parameters following closed head injury in a mouse model by comparative diffuse optical reflectance approaches

Noninvasive assessment of hemodynamic and brain metabolism parameters following closed head injury in a mouse model by comparative diffuse optical reflectance approaches

Multifractality in cerebrovascular dynamics: an approach for mechanisms-related analysis

Image enhancement via MMSE estimation of Gaussian scale mixture with Maxwell density in AWGN

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