1. Articles from ying zhang

    1-16 of 16
    1. Optical coherence tomography in multiple sclerosis: A 3-year prospective multicenter study

      Optical coherence tomography in multiple sclerosis: A 3-year prospective multicenter study

      Objective: To evaluate changes over 3 years in the thickness of inner retinal layers including the peripapillary retinal nerve fiber layer (pRNFL), and combined macular ganglion cell and inner plexiform layers (mGCIPL), in individuals with relapsing-remitting multiple sclerosis (RRMS) versus healthy controls; to determine whether optical coherence tomography (OCT) is sufficiently sensitive and reproducible to detect small degrees of neuroaxonal loss over time that correlate with changes in brain volume and disability progression as measured by the Expanded Disability Status Scale (EDSS). Methods: Individuals with RRMS from 28 centers (n = 333) were matched with 64 healthy participants. OCT scans were ...

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    2. Optical coherence tomography in multiple sclerosis: A 3-year prospective multicenter study

      Optical coherence tomography in multiple sclerosis: A 3-year prospective multicenter study

      Objective: To evaluate changes over 3 years in the thickness of inner retinal layers including the peripapillary retinal nerve fiber layer (pRNFL), and combined macular ganglion cell and inner plexiform layers (mGCIPL), in individuals with relapsing-remitting multiple sclerosis (RRMS) versus healthy controls; to determine whether optical coherence tomography (OCT) is sufficiently sensitive and reproducible to detect small degrees of neuroaxonal loss over time that correlate with changes in brain volume and disability progression as measured by the Expanded Disability Status Scale (EDSS). Methods: Individuals with RRMS from 28 centers (n = 333) were matched with 64 healthy participants. OCT scans were ...

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    3. Uncertainty-guided self-ensembling model for semi-supervised segmentation of multiclass retinal fluid in optical coherence tomography images

      Uncertainty-guided self-ensembling model for semi-supervised segmentation of multiclass retinal fluid in optical coherence tomography images

      Macular edema is the accumulation of fluid leakage from retinal capillaries. Optical coherence tomography (OCT) images can show changes in the retinal tissue caused by ophthalmological diseases, such as fluid accumulation. Therefore, the segmentation of retinal fluid is important. Some methods based on image processing and machine learning often require large amounts of labeled data and rich domain knowledge. This study proposes a self-ensembling semi-supervised model based on uncertainty guidance, namely, UGNet. The model is trained end-to-end with a few labeled data and plenty of unlabeled data, and contains a teacher model and a student model with the same architecture ...

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    4. Confidence-guided Topology-preserving Layer Segmentation for Optical Coherence Tomography ...

      Confidence-guided Topology-preserving Layer Segmentation for Optical Coherence Tomography ...

      Optical coherence tomography (OCT) imaging widely used in retinal examinations yields high resolution cross-sectional scans of the retina. As a key indicator for studying the development of retinopathy, the change of layer thickness needs to be accurately measured. Although many deep learning-based segmentation methods have been developed, most of them do not explicitly consider the strict order of the retina layers, which easily leads to topological errors. In this paper, we propose a novel segmentation framework that employs the distance maps of layer surfaces to convert the segmentation task into multitasking problem for classification and regression, and obtains the topology-guaranteed ...

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    5. Automatic fluid segmentation in retinal optical coherence tomography images using attention based deep learning

      Automatic fluid segmentation in retinal optical coherence tomography images using attention based deep learning

      Optical coherence tomography (OCT) is one of the most commonly used ophthalmic diagnostic techniques. Macular Edema (ME) is the swelling of the macular region in the eye. Segmentation of the fluid region in the retinal layer is an important step in detecting lesions. However, manual segmentation is often a time consuming and subjective process. In this paper, an improved U-Net segmentation method is proposed. In this method, the attention mechanism is introduced to automatically locate the fluid region, which avoids the problem of excessive calculation in multi-stage methods. At the same time, the use of dense skip connections which combines ...

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    6. Confidence-guided Topology-preserving Layer Segmentation for Optical Coherence Tomography Images with Focus-column Module

      Confidence-guided Topology-preserving Layer Segmentation for Optical Coherence Tomography Images with Focus-column Module

      Optical coherence tomography (OCT) imaging widely used in retinal examinations yields high resolution cross-sectional scans of the retina. As a key indicator for studying the development of retinopathy, the change of layer thickness needs to be accurately measured. Although many deep learning-based segmentation methods have been developed, most of them do not explicitly consider the strict order of the retina layers, which easily leads to topological errors. In this paper, we propose a novel segmentation framework that employs the distance maps of layer surfaces to convert the segmentation task into multitasking problem for classification and regression, and obtains the topology-guaranteed ...

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    7. Machine learning helps improve diagnostic ability of subclinical keratoconus using Scheimpflug and OCT imaging modalities

      Machine learning helps improve diagnostic ability of subclinical keratoconus using Scheimpflug and OCT imaging modalities

      Purpose To develop an automated classification system using a machine learning classifier to distinguish clinically unaffected eyes in patients with keratoconus from a normal control population based on a combination of Scheimpflug camera images and ultra-high-resolution optical coherence tomography (UHR-OCT) imaging data. Methods A total of 121 eyes from 121 participants were classified by 2 cornea experts into 3 groups: normal (50 eyes), with keratoconus (38 eyes) or with subclinical keratoconus (33 eyes). All eyes were imaged with a Scheimpflug camera and UHR-OCT. Corneal morphological features were extracted from the imaging data. A neural network was used to train a ...

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    8. INS-fOCT: a label-free, all-optical method for simultaneously manipulating and mapping brain function

      INS-fOCT: a label-free, all-optical method for simultaneously manipulating and mapping brain function

      Significance: Current approaches to stimulating and recording from the brain have combined electrical or optogenetic stimulation with recording approaches, such as two-photon, electrophysiology (EP), and optical intrinsic signal imaging (OISI). However, we lack a label-free, all-optical approach with high spatial and temporal resolution. Aim: To develop a label-free, all-optical method that simultaneously manipulates and images brain function using pulsed near-infrared light (INS) and functional optical coherence tomography (fOCT), respectively. Approach: We built a coregistered INS, fOCT, and OISI system. OISI and EP recordings were employed to validate the fOCT signals. Results: The fOCT signal was reliable and regional, and the ...

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    9. Spectroscopic Optical Coherence Tomography by Using Multiple Multipole Expansion

      Spectroscopic Optical Coherence Tomography by Using Multiple Multipole Expansion

      This paper presents a pre-processing method to remove multiple scattering artifacts in spectroscopic optical coherence tomography (SOCT) using time–frequency analysis approaches. The method uses a multiple multipole expansion approach to model the light fields in SOCT. It is shown that the multiple scattered fields can be characterized by higher order terms of the multiple multipole expansion. Hence, the multiple scattering artifact can thus be eliminated by applying the time–frequency transform on the SOCT measurements characterized by the lower order terms. Simulation and experimental results are presented to show the effectiveness of the proposed pre-processing method

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    10. Single camera spectral domain polarization-sensitive optical coherence tomography based on orthogonal channels by time divided detection

      Single camera spectral domain polarization-sensitive optical coherence tomography based on orthogonal channels by time divided detection

      We demonstrate a simple polarization-sensitive spectral-domain optical coherence tomography implement by using a single line-scan camera based on time divided detection. Two light shutters were placed on the dual assembly reference arm that provides a divided detection between the orthogonal vertical and horizontal polarized lights. The relative reflectivity and the retardance information were available by recombining the two orthogonal polarization images. This system can be employed to implement high speed polarization-sensitive OCT images.

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    11. A method to improve the measurement stability of scattering coefficients in lip with optical coherence tomography

      A method to improve the measurement stability of scattering coefficients in lip with optical coherence tomography

      Optical coherence tomography (OCT) is a non-invasive imaging technique that provides real-time two- and three-dimensional images of scattering tissues with micrometer resolution. Scattering coefficient is estimated based on the slope of OCT dependent of depth. However, stability of the OCT signal slope is dependent on tissue heterogeneity. Our work is to provide a method of combining post-processing Fourier filtration with automatic identification of fitting range to reduce the effect of tissue heterogeneity on scattering coefficient, and used for noninvasive monitoring of glucose concentration in lip. Axial and lateral resolutions of OCT are 20 μm and 15 μm respectively. OCT images ...

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    12. In vivo noninvasive measurement of preprandial and postprandial blood glucose using optical coherence tomography

      In vivo noninvasive measurement of preprandial and postprandial blood glucose using optical coherence tomography

      Blood glucose concentration measurement is essential for the diagnosis and treatment of diabetes. However, conventional glucose measurement methods are invasive and not suitable for real-time monitoring. This study demonstrated a noninvasive blood glucose measurement method using optical coherence tomography to image human lip in vivo. Optical coherence tomography (OCT) is a noninvasive and depth-resolved technique capable of acquiring tissue structure images in real time. Human lip has very thin skin and is full of blood vessels, which is appropriate for noninvasive glucose measurement. To verify the feasibility of OCT for glucose concentration monitoring, two groups of OCT imaging data were ...

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    13. Contrast enhancement using Mie spectra representation for spectroscopic optical coherence tomography

      Contrast enhancement using Mie spectra representation for spectroscopic optical coherence tomography

      The paper presents a spectroscopic optical coherence tomography (SOCT) method that offers a tomography imaging contrast in scatterer size. In the method, the depth resolved spectroscopy is modelled as a linear combination of basis spectra from scatterers in a prescribed dictionary. The depth resolved spectroscopy is first reconstructed by searching the optimal expansion of the SOCT spectral measurement over the basis spectra. Then the scatterer sizes corresponding to the spectra in the optimal expansion are used to display the SOCT image. Simulation and experimental studies demonstrated that the proposed contrast can differentiate the scatterer clusters in samples.

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    14. Autocorrelation noise removal for optical coherence tomography by sparse filter design

      Autocorrelation noise removal for optical coherence tomography by sparse filter design

      We present a reconstruction method to eliminate the autocorrelation noise (ACN) in optical coherence tomography (OCT). In this method, the optical fields scattered from the sample features are regarded as the response of a sparse finite impulse response (FIR) filter. Then the OCT reconstruction is formulated as one of identifying the parameters of a sparse FIR filter, which are obtained via an ℓ1 optimization with soft thresholding. The experimental results show that the proposed method can obtain OCT reconstruction results with effective attenuation of ACN.

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    15. Supercontinuum generation in polarization maintaining photonic crystal fibers using nanosecond pulses

      Supercontinuum generation in polarization maintaining photonic crystal fibers using nanosecond pulses
      We generate a flat, polarized and single mode Supercontinuum (SC) spanning at least from 600nm to 1700nm in a 20m length of highly refringent photonic crystal fibers (PCFs) pumped by a 1064 nm nanosecond microchip laser. The spectrum and polarization properties of the SC are investigated experimentally. The experimental results and the analysis provide useful information that helps to optimize and tune the properties of the polarized SC sources.
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    16. Optical coherence tomography by using frequency measurements in wavelength domain

      Optical coherence tomography by using frequency measurements in wavelength domain
      Optical coherence tomography (OCT) reconstruction by using frequency measurements in the wavelength domain is presented in this paper. The method directly recovers the axial scan by formulating the frequency domain OCT (FD-OCT) into an algebraic reconstruction problem. In this way, the need for interpolation is removed. Then by solving the problem with ℓ1 optimization, the computational load is significantly reduced. It is demonstrated by experiment and simulation that the proposed method can achieve high resolution and longer imaging depth compared to the FD-OCT method.
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    1-16 of 16
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    Optical coherence tomography by using frequency measurements in wavelength domain Supercontinuum generation in polarization maintaining photonic crystal fibers using nanosecond pulses Autocorrelation noise removal for optical coherence tomography by sparse filter design Contrast enhancement using Mie spectra representation for spectroscopic optical coherence tomography In vivo noninvasive measurement of preprandial and postprandial blood glucose using optical coherence tomography A method to improve the measurement stability of scattering coefficients in lip with optical coherence tomography Single camera spectral domain polarization-sensitive optical coherence tomography based on orthogonal channels by time divided detection Spectroscopic Optical Coherence Tomography by Using Multiple Multipole Expansion INS-fOCT: a label-free, all-optical method for simultaneously manipulating and mapping brain function Machine learning helps improve diagnostic ability of subclinical keratoconus using Scheimpflug and OCT imaging modalities Quantification of biomechanical properties of human corneal scar using acoustic radiation force optical coherence elastography Longitudinal changes in complete avascular area assessed using anterior segmental optical coherence tomography angiography in filtering trabeculectomy bleb