Dataset Information

Three-Dimensional Speckle Light Self-Healing-Based Imaging System.

ABSTRACT: Recently new methodologies for imaging have been achieved making use of multiple light scattering. Here we present the self-healing effect using a speckled light field. We present an experiment that constitutes a useful application for a three-dimensional light sheet-based imaging system through an inhomogeneous medium. Each layer can be imaged independently of the others. The axial resolution basically depends on the coherence length, which can be sub-wavelength and controllable. This allows for a simple and direct technique for imaging through scattering layers with axial resolution improvement. Our results may find applications not only in bio-microscopy systems but also in data transmission.

SUBMITTER: Pires DG

PROVIDER: S-EPMC5766565 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

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Publications

Three-Dimensional Speckle Light Self-Healing-Based Imaging System.

Pires Danilo G DG Sonsin Artur F AF Jesus-Silva Alcenísio J AJ Fonseca Eduardo J S EJS

Scientific reports 20180112 1

Recently new methodologies for imaging have been achieved making use of multiple light scattering. Here we present the self-healing effect using a speckled light field. We present an experiment that constitutes a useful application for a three-dimensional light sheet-based imaging system through an inhomogeneous medium. Each layer can be imaged independently of the others. The axial resolution basically depends on the coherence length, which can be sub-wavelength and controllable. This allows fo ...[more]

PMID: 29330427

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Project description:SignificanceVisualizing high-resolution hemodynamics in cerebral tissue over a large field of view (FOV), provides important information in studying disease states affecting the brain. Current state-of-the-art optical blood flow imaging techniques either lack spatial resolution or are too slow to provide high temporal resolution reconstruction of flow map over a large FOV.AimWe present a high spatial resolution computational optical imaging technique based on principles of laser speckle contrast imaging (LSCI) for reconstructing the blood flow maps in complex tissue over a large FOV provided that the three-dimensional (3D) vascular structure is known or assumed.ApproachOur proposed method uses a perturbation Monte Carlo simulation of the high-resolution 3D geometry for both accurately deriving the speckle contrast forward model and calculating the Jacobian matrix used in our reconstruction algorithm to achieve high resolution. Given the convex nature of our highly nonlinear problem, we implemented a mini-batch gradient descent with an adaptive learning rate optimization method to iteratively reconstruct the blood flow map. Specifically, we implemented advanced optimization techniques combined with efficient parallelization and vectorization of the forward and derivative calculations to make reconstruction of the blood flow map feasible with reconstruction times on the order of tens of minutes.ResultsWe tested our reconstruction algorithm through simulation of both a flow phantom model as well as an anatomically correct murine cerebral tissue and vasculature captured via two-photon microscopy. Additionally, we performed a noise study, examining the robustness of our inverse model in presence of 0.1% and 1% additive noise. In all cases, the blood flow reconstruction error was <2 % for most of the vasculature, except for the peripheral vasculature which suffered from insufficient photon sampling. Descending vasculature and deeper structures showed slightly higher sensitivity to noise compared with vasculature with a horizontal orientation at the more superficial layers. Our results show high-resolution reconstruction of the blood flow map in tissue down to 500 μm and beyond.ConclusionsWe have demonstrated a high-resolution computational imaging technique for visualizing blood flow map in complex tissue over a large FOV. Once a high-resolution structural image is captured, our reconstruction algorithm only requires a few LSCI images captured through a camera to reconstruct the blood flow map computationally at a high resolution. We note that the combination of high temporal and spatial resolution of our reconstruction algorithm makes the solution well-suited for applications involving fast monitoring of flow dynamics over a large FOV, such as in functional neural imaging.

Project description:BackgroundThis study aims to assess the value of two-dimensional speckle tracking imaging (2D-STI) combined with real-time 3-dimensional echocardiography (RT-3DE) in evaluating left heart function in patients with combined ETH and PAF.MethodsA prospective study was designed, and the research period was from January 2017 to January 2020. A PAF observation group comprised of patients with ETH and PAF, a PAF control group of patients with ETH but without PAF, and a healthy volunteer group referred to as the healthy group, each comprised of 50 patients was established. All patients underwent routine ultrasound imaging examination using 2D-STI and RT-3DE. The interventricular septum thickness (IVST), left and right atrioventricular diameter (LAD), left ventricular posterior wall thickness (PWT), left ventricular ejection fraction (LVEF), the mean left atrium peak strain (mSs, mSe, mSa), strain rate (mSRs, mSRe, mSRa), the left ventricular mass (LVM), left ventricular mass index (LVMI), and left atrial total emptying volume (LATEV), the left atrial volume index (LAVI), left atrial total emptying fraction (LATEF), left atrium expansion index (LAEI), left atrium passive ejection fraction (LAPEF), and left atrial active ejection fraction (LAAEF) were calculated. Patients in the PAF observation group received telmisartan combined with rosuvastatin after diagnosis and 12- and 24-month-follow up visits were conducted. During these visits, 2D-STI combined with RT-3DE was used to evaluate cardiac function and each patient's blood pressure was monitored.ResultsPatients in the PAF observation group had a significantly longer course of ETH than patients in the PAF control group (13.5±4.4 vs. 10.32±5.6, P=0.002). The comparison of routine 2D-STI and RT-3DE ultrasound indexes among the three groups also showed significant differences (P<0.01). During the 2-year follow-up period, the IVST, LAD, PWT, and LVEF of remaining patients significantly improved as treatment progressed (P<0.05). The LAVI, LATEF, and LAEI also improved significantly as the treatment progressed (P<0.05). After 12 months of treatment, the recurrence rate of atrial fibrillation was 16.33% (8/45) and after 24 months this was 34.21% (13/38).ConclusionsCardiac function could be evaluated comprehensively by 2D-STI combined with RT-3DE in patients with ETH combined with PAF at initial diagnosis and follow-up.

Dataset Information

Three-Dimensional Speckle Light Self-Healing-Based Imaging System.

Publications

Three-Dimensional Speckle Light Self-Healing-Based Imaging System.

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