1. Articles from Xincheng Yao

    1-24 of 33 1 2 »
    1. Postdoctoral opening in optical instrumentation and retinal imaging at University of Illinois at Chicago

      Postdoctoral opening in optical instrumentation and retinal imaging at University of Illinois at Chicago

      A postdoctoral position is available in the Biomedical Optics and Functional Imaging Laboratory , Department of Bioengineering , University of Illinois at Chicago (UIC). The Biomedical Optics and Functional Imaging Laboratory is affiliated with the Lions of Illinois Eye Research Institute (LIERI), within the same building with UIC Ophthalmology and Retina Clinic. In collaboration with experienced ophthalmologists and vision scientists, our ongoing research includes ultra-wide field fundus photography, functional optical coherence tomography (OCT), super-resolution ophthalmoscopy, machine learning based image analysis and classification. The postdoctoral fellow will support optical instrument developments, such as fundus camera, OCT and confocal ophthalmoscopy, for retinal imaging of ...

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      Mentions: Xincheng Yao
    2. VASCULAR COMPLEXITY ANALYSIS IN OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY OF DIABETIC RETINOPATHY

      VASCULAR COMPLEXITY ANALYSIS IN OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY OF DIABETIC RETINOPATHY

      Purpose: This study aimed to verify the feasibility of using vascular complexity features for objective differentiation of controls and nonproliferative diabetic retinopathy (NPDR) and proliferative diabetic retinopathy (PDR) patients. Methods: This was a cross-sectional study conducted in a tertiary, subspecialty, academic practice. The cohort included 20 control subjects, 60 NPDR patients, and 56 PDR patients. Three vascular complexity features, including the vessel complexity index, fractal dimension, and blood vessel tortuosity, were derived from each optical coherence tomography angiography image. A shifting-window measurement was further implemented to identify local feature distortions due to localized neovascularization and mesh structures in PDR. Results ...

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    3. AV-Net: Deep learning for fully automated artery-vein classification in optical coherence tomography angiography

      AV-Net: Deep learning for fully automated artery-vein classification in optical coherence tomography angiography

      This study is to demonstrate deep learning for automated artery-vein (AV) classification in optical coherence tomography angiography (OCTA). The AV-Net, a fully convolutional network (FCN) based on modified U-shaped CNN architecture, incorporates enface OCT and OCTA to differentiate arteries and veins. For the multi-modal training process, the enface OCT works as a near infrared fundus image to provide vessel intensity profiles, and the OCTA contains blood flow strength and vessel geometry features. A transfer learning process is also integrated to compensate for the limitation of available dataset size of OCTA, which is a relatively new imaging modality. By providing an ...

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    4. Postdoctoral opening in quantitative retinal imaging and analysis at University of Illinois at Chicago

      Postdoctoral opening in quantitative retinal imaging and analysis at University of Illinois at Chicago

      A postdoctoral position is available in the Biomedical Optics and Functional Imaging group ( https://yaolab.bioe.uic.edu ) within the Department of Bioengineering, University of Illinois at Chicago. Our research lab is working on ultra-wide field fundus photography, functional optical coherence tomography (OCT), super-resolution ophthalmoscopy, retinal image analysis and classification. The postdoctoral fellow will be responsible for quantitative analysis of OCT/OCTA and machine learning based image classification. This position will be supported by a NIH project entitled differential artery-vein analysis in OCT angiography for objective classification of diabetic retinopathy . The successful candidate should have a Ph.D. degree in ...

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    5. Quantitative optical coherence tomography angiography: A review

      Quantitative optical coherence tomography angiography: A review

      As a new optical coherence tomography (OCT) modality, OCT angiography (OCTA) provides a noninvasive method to detect microvascular distortions correlated with eye conditions. By providing unparalleled capability to differentiate individual plexus layers in the retina, OCTA has demonstrated its excellence in clinical management of diabetic retinopathy, glaucoma, sickle cell retinopathy, diabetic macular edema, and other eye diseases. Quantitative OCTA analysis of retinal and choroidal vasculatures is essential to standardize objective interpretations of clinical outcome. Quantitative features, including blood vessel tortuosity, blood vessel caliber, blood vessel density, vessel perimeter index, fovea avascular zone area, fovea avascular zone contour irregularity, vessel branching ...

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      Mentions: Xincheng Yao
    6. Longitudinal OCT and OCTA monitoring reveals accelerated regression of hyaloid vessels in retinal degeneration 10 (rd10) mice

      Longitudinal OCT and OCTA monitoring reveals accelerated regression of hyaloid vessels in retinal degeneration 10 (rd10) mice

      The hyaloid vascular system (HVS) is known to have an important role in eye development. However, physiological mechanisms of HVS regression and their correlation with developmental eye disorders remain unclear due to technical limitations of conventional ending point examination with fixed tissues. Here, we report comparative optical coherence tomography (OCT) and OCT angiography (OCTA) monitoring of HVS regression in wild-type and retinal degeneration 10 (rd10) mice. Longitudinal OCTA monitoring revealed accelerated regression of hyaloid vessels correlated with retinal degeneration in rd10. Quantitative OCT measurement disclosed significant distortions of both retinal thickness and the vitreous chamber in rd10 compared to WT ...

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      Mentions: Xincheng Yao
    7. Transfer Learning for Automated OCTA Detection of Diabetic Retinopathy

      Transfer Learning for Automated OCTA Detection of Diabetic Retinopathy

      Purpose: To test the feasibility of using deep learning for optical coherence tomography angiography (OCTA) detection of diabetic retinopathy (DR). Methods: A deep learning convolutional neural network (CNN) architecture VGG16 was employed for this study. A transfer learning process was implemented to re-train the CNN for robust OCTA classification. In order to demonstrate the feasibility of using this method for artificial intelligence (AI) screening of DR in clinical environments, the re-trained CNN was incorporated into a custom developed GUI platform which can be readily operated by ophthalmic personnel. Results: With last nine layers re-trained, CNN architecture achieved the best performance ...

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      Mentions: Xincheng Yao
    8. Postdoctoral Research Associate - Biomedical Optics and Functional Imaging Laboratory at University of Illinois at Chicago

      Postdoctoral Research Associate - Biomedical Optics and Functional Imaging Laboratory at University of Illinois at Chicago

      A postdoctoral position is available in the Biomedical Optics and Functional Imaging group with Dr. Xincheng Yao ( yaolab.bioe.uic.edu ) within the Department of Bioengineering, University of Illinois at Chicago. Dr. Yao’s Biomedical Optics and Functional Imaging Laboratory is housed in the Lions of Illinois Eye Research Institute (LIERI), within the same building with UIC Retina Clinic. In collaboration with experienced ophthalmologists and vision scientists, our lab is focusing on new development of ophthalmic instrumentation and imaging technology to advance retinal study, disease diagnosis and treatment evaluation. Our current research includes ultra-wide field fundus photography, functional optical coherence ...

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      Mentions: Xincheng Yao
    9. Functional OCT angiography reveals early physiological dysfunction of hyaloid vasculature in developing mouse eye

      Functional OCT angiography reveals early physiological dysfunction of hyaloid vasculature in developing mouse eye

      Hyaloid vascular system (HVS) is a transient capillary network nourishing developing eye. Better study of the HVS regression correlated with eye development is essential for in-depth understanding of the nature of vision system. In this study, we demonstrate the feasibility of longitudinal optical coherence tomography (OCT) and OCT angiography (OCTA) monitoring of the HVS in C57BL/6J mice. OCT enables morphological monitoring of the HVS regression, and OCTA allows physiological assessment of the HVS involution correlated with eye development. Functional OCTA reveals early physiological dysfunction before morphological regression of the hyaloid vasculature in developing mouse eye. We anticipate that noninvasive ...

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      Mentions: Xincheng Yao
    10. Supervised Machine Learning Based Multi-Task Artificial Intelligence Classification of Retinopathies

      Supervised Machine Learning Based Multi-Task Artificial Intelligence Classification of Retinopathies

      Artificial intelligence (AI) classification holds promise as a novel and affordable screening tool for clinical management of ocular diseases. Rural and underserved areas, which suffer from lack of access to experienced ophthalmologists may particularly benefit from this technology. Quantitative optical coherence tomography angiography (OCTA) imaging provides excellent capability to identify subtle vascular distortions, which are useful for classifying retinovascular diseases. However, application of AI for differentiation and classification of multiple eye diseases is not yet established. In this study, we demonstrate supervised machine learning based multi-task OCTA classification. We sought 1) to differentiate normal from diseased ocular conditions, 2) to ...

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      Mentions: Xincheng Yao
    11. Fully automated geometric feature analysis in optical coherence tomography angiography for objective classification of diabetic retinopathy

      Fully automated geometric feature analysis in optical coherence tomography angiography for objective classification of diabetic retinopathy

      This study is to establish quantitative features of vascular geometry in optical coherence tomography angiography (OCTA) and validate them for the objective classification of diabetic retinopathy (DR). Six geometric features, including total vessel branching angle (VBA: θ), child branching angles (CBAs: α1 and α2), vessel branching coefficient (VBC), and children-to-parent vessel width ratios (VWR1 and VWR2), were automatically derived from each vessel branch in OCTA. Comparative analysis of heathy control, diabetes with no DR (NoDR), and non-proliferative DR (NPDR) was conducted. Our study reveals four quantitative OCTA features to produce robust DR detection and staging classification: (ANOVA, P<0.05), VBA ...

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      Mentions: Xincheng Yao
    12. Supervised machine learning based multi-task artificial intelligence classification of retinopathies

      Supervised machine learning based multi-task artificial intelligence classification of retinopathies

      Artificial intelligence (AI) classification holds promise as a novel and affordable screening tool for clinical management of ocular diseases. Rural and underserved areas, which suffer from lack of access to experienced ophthalmologists may particularly benefit from this technology. Quantitative optical coherence tomography angiography (OCTA) imaging provides excellent capability to identify subtle vascular distortions, which are useful for classifying retinovascular diseases. However, application of AI for differentiation and classification of multiple eye diseases is not yet established. In this study, we demonstrate supervised machine learning based multi-task OCTA classification. We sought 1) to differentiate normal from diseased ocular conditions, 2) to ...

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      Mentions: Xincheng Yao
    13. Near infrared oximetry-guided artery–vein classification in optical coherence tomography angiography

      Near infrared oximetry-guided artery–vein classification in optical coherence tomography angiography

      Differential artery–vein analysis is valuable for early detection of diabetic retinopathy and other eye diseases. As a new optical coherence tomography imaging modality, optical coherence tomography angiography provides capillary level resolution for accurate examination of retinal vasculatures. However, differential artery–vein analysis in optical coherence tomography angiography particularly for macular region in which blood vessels are small is challenging. In coordination with an automatic vessel tracking algorithm, we report here the feasibility of using near infrared optical coherence tomography oximetry to guide artery–vein classification in optical coherence tomography angiography of macular region. Impact statement It is known that ...

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      Mentions: Xincheng Yao
    14. PhD Studentship in Biomedical Optics and Retinal Imaging at The University of Illinois at Chicago

      PhD Studentship in Biomedical Optics and Retinal Imaging at The University of Illinois at Chicago

      A PhD position is available in the Biomedical Optics and Functional Imaging group within the Department of Bioengineering, University of Illinois at Chicago. Our research lab is working on ultra-wide field fundus photography, functional optical coherence tomography (OCT), OCT angiography (OCTA), super-resolution ophthalmoscopy, retinal image analysis and classification ( https://yaolab.bioe.uic.edu/ ). The PhD student will be involved for imaging instrument development and/or experimental study of retinal morphology & physiology. The specific study plan of the student can be flexible based on his/her education background and interest. The successful candidate should have a BS/MS degree in Optical ...

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      Mentions: Xincheng Yao
    15. OCT feature analysis guided artery-vein differentiation in OCTA

      OCT feature analysis guided artery-vein differentiation in OCTA

      Differential artery-vein analysis promises better sensitivity for retinal disease detection and classification. However, clinical optical coherence tomography angiography (OCTA) instruments lack the function of artery-vein differentiation. This study aims to verify the feasibility of using OCT intensity feature analysis to guide artery-vein differentiation in OCTA. Four OCT intensity profile features, including i) ratio of vessel width to central reflex, ii) average of maximum profile brightness, iii) average of median profile intensity, and iv) optical density of vessel boundary intensity compared to background intensity, are used to classify artery-vein source nodes in OCT. A blood vessel tracking algorithm is then employed ...

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      Mentions: Xincheng Yao
    16. Postdoctoral opening in retinal imaging instrumentation within the Department of Bioengineering, University of Illinois at Chicago

      Postdoctoral opening in retinal imaging instrumentation within the Department of Bioengineering, University of Illinois at Chicago

      A postdoctoral position is available in the Biomedical Optics and Functional Imaging group ( https://yaolab.bioe.uic.edu ) within the Department of Bioengineering, University of Illinois at Chicago. Our research lab is working on ultra-wide field fundus photography, functional optical coherence tomography (OCT), super-resolution ophthalmoscopy, retinal image analysis and classification. The postdoctoral fellow will be responsible for instrument development and retinal study. The successful candidate should have a Ph.D. degree in Optical Engineering, Electrical Engineering, Applied Physics or a related discipline. Experience with optical design and construction is essential. Proficiency in Labview and Matlab programming is expected. Hand-on experience ...

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      Mentions: Xincheng Yao
    17. Comparative Optical Coherence Tomography Angiography of Wild-Type and rd10 Mouse Retinas

      Comparative Optical Coherence Tomography Angiography of Wild-Type and rd10 Mouse Retinas

      Purpose : To conduct longitudinal optical coherence tomography angiography (OCTA) to characterize dynamic changes of trilaminar vascular plexuses in wild-type (WT) and retinal degeneration 10 (rd10) mouse retinas. Methods : Longitudinal in vivo OCT/OCTA measurements of WT and rd10 mouse retinas were conducted at postnatal day 14 (P14), P17, P21, P24, and P28. OCT images were used to quantify retinal thickness changes, while OCTA images were used to investigate vascular dynamics within the trilaminar vascular plexuses, that is, superficial vascular plexus (SVP), intermediate capillary plexus (ICP), and deep capillary plexus (DCP). Blood vessel densities of all three plexus layers were quantitatively ...

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      Mentions: Xincheng Yao
    18. Functional optical coherence tomography of retinal photoreceptors

      Functional optical coherence tomography of retinal photoreceptors

      Age-related macular degeneration (AMD) is the leading cause of severe vision loss and legal blindness. It is known that retinal photoreceptors are the primary target of AMD. Therefore, a reliable method for objective assessment of photoreceptor function is needed for early detection and reliable treatment evaluation of AMD and other eye diseases such as retinitis pigmentosa that are known to cause photoreceptor dysfunctions. Stimulus-evoked intrinsic optical signal (IOS) changes promise a unique opportunity for objective assessment of physiological function of retinal photoreceptor and inner neurons. Instead of a comprehensive review, this mini-review is to provide a brief summary of our ...

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      Mentions: Xincheng Yao
    19. QUANTITATIVE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY FEATURES FOR OBJECTIVE CLASSIFICATION AND STAGING OF DIABETIC RETINOPATHY

      QUANTITATIVE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY FEATURES FOR OBJECTIVE CLASSIFICATION AND STAGING OF DIABETIC RETINOPATHY

      Purpose: This study aims to characterize quantitative optical coherence tomography angiography (OCTA) features of nonproliferative diabetic retinopathy (NPDR) and to validate them for computer-aided NPDR staging. Methods: One hundred and twenty OCTA images from 60 NPDR (mild, moderate, and severe stages) patients and 40 images from 20 control subjects were used for this study conducted in a tertiary, subspecialty, academic practice. Both eyes were photographed and all the OCTAs were 6 mm × 6 mm macular scans. Six quantitative features, that is, blood vessel tortuosity, blood vascular caliber, vessel perimeter index, blood vessel density, foveal avascular zone area, and foveal avascular ...

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      Mentions: Xincheng Yao
    20. Color Fundus Image Guided Artery-Vein Differentiation in Optical Coherence Tomography Angiography

      Color Fundus Image Guided Artery-Vein Differentiation in Optical Coherence Tomography Angiography

      Purpose : This study aimed to develop a method for automated artery-vein classification in optical coherence tomography angiography (OCTA), and to verify that differential artery-vein analysis can improve the sensitivity of OCTA detection and staging of diabetic retinopathy (DR). Methods : For each patient, the color fundus image was used to guide the artery-vein differentiation in the OCTA image. Traditional mean blood vessel caliber (m-BVC) and mean blood vessel tortuosity (m-BVT) in OCTA images were quantified for control and DR groups. Artery BVC (a-BVC), vein BVC (v-BVC), artery BVT (a-BVT), and vein BVT (a-BVT) were calculated, and then the artery-vein ratio (AVR ...

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      Mentions: Xincheng Yao
    21. Functional optical coherence tomography of neurovascular coupling interactions in the retina

      Functional optical coherence tomography of neurovascular coupling interactions in the retina

      Quantitative evaluation of retinal neurovascular coupling is essential for a better understanding of visual function and early detection of eye diseases. However, there is no established method to monitor coherent interactions between stimulus‐evoked neural activity and hemodynamic responses at high resolution. Here we report a multi‐modal functional optical coherence tomography (OCT) imaging methodology to enable concurrent intrinsic optical signal (IOS) imaging of stimulus‐evoked neural activity and hemodynamic responses at capillary resolution. OCT angiography guided IOS analysis was used to separate neural‐IOS and hemodynamic‐IOS changes in the same retinal image sequence. Frequency flicker stimuli evoked neural ...

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      Mentions: Xincheng Yao
    22. Computer-aided classification of sickle cell retinopathy using quantitative features in optical coherence tomography angiography

      Computer-aided classification of sickle cell retinopathy using quantitative features in optical coherence tomography angiography

      As a new optical coherence tomography (OCT) imaging modality, there is no standardized quantitative interpretation of OCT angiography (OCTA) characteristics of sickle cell retinopathy (SCR). This study is to demonstrate computer-aided SCR classification using quantitative OCTA features, i.e., blood vessel tortuosity (BVT), blood vessel diameter (BVD), vessel perimeter index (VPI), foveal avascular zone (FAZ) area, FAZ contour irregularity, parafoveal avascular density (PAD). It was observed that combined features show improved classification performance, compared to single feature. Three classifiers, including support vector machine (SVM), k-nearest neighbor (KNN) algorithm, and discriminant analysis, were evaluated. Sensitivity, specificity, and accuracy were quantified to ...

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    23. Quantitative characteristics of sickle cell retinopathy in optical coherence tomography angiography

      Quantitative characteristics of sickle cell retinopathy in optical coherence tomography angiography

      Early detection is an essential step for effective intervention of sickle cell retinopathy (SCR). Emerging optical coherence tomography angiography (OCTA) provides excellent three-dimensional (3D) resolution to enable label-free, noninvasive visualization of retinal vascular structures, promising improved sensitivity in detecting SCR. However, quantitative analysis of SCR characteristics in OCTA images is yet to be established. In this study, we conducted comprehensive analysis of six OCTA parameters, including blood vessel tortuosity, vessel diameter, vessel perimeter index (VPI), area of foveal avascular zone (FAZ), contour irregularity of FAZ and parafoveal avascular density. Compared to traditional retinal thickness analysis, five of these six OCTA ...

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      Mentions: Xincheng Yao
    24. In vivo optical coherence tomography of stimulus-evoked intrinsic optical signals in mouse retinas

      In vivo optical coherence tomography of stimulus-evoked intrinsic optical signals in mouse retinas

      Intrinsic optical signal (IOS) imaging promises a noninvasive method for advanced study and diagnosis of eye diseases. Before pursuing clinical applications, it is essential to understand anatomic and physiological sources of retinal IOSs and to establish the relationship between IOS distortions and eye diseases. The purpose of this study was designed to demonstrate the feasibility of in vivo IOS imaging of mouse models. A high spatiotemporal resolution spectral domain optical coherence tomography (SD-OCT) was employed for depth-resolved retinal imaging. A custom-designed animal holder equipped with ear bar and bite bar was used to minimize eye movements. Dynamic OCT imaging revealed ...

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      Mentions: Xincheng Yao
    1-24 of 33 1 2 »
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    1. (31 articles) Xincheng Yao
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    Noninvasive functional imaging of the retina at cellular resolution En face optical coherence tomography of transient light response at photoreceptor outer segments in living frog eyecup Breaking diffraction limit of lateral resolution in optical coherence tomography Postdoctoral Position in Biomedical Optics Instrument and Retinal Imaging University of Alabama at Birmingham Functional optical coherence tomography reveals transient phototropic change of photoreceptor outer segments Two postdoctoral Positions in Biomedical Optics Instrumentation and Retinal Imaging At the University of Illinois at Chicago Postdoctoral opening in retinal imaging instrumentation within the Department of Bioengineering, University of Illinois at Chicago PhD Studentship in Biomedical Optics and Retinal Imaging at The University of Illinois at Chicago Postdoctoral Research Associate - Biomedical Optics and Functional Imaging Laboratory at University of Illinois at Chicago Postdoctoral opening in quantitative retinal imaging and analysis at University of Illinois at Chicago Medical treatment of inflammatory punctual stenosis monitored by anterior segment optical coherence tomography Development and Validation of a Deep Learning System for Diagnosing Glaucoma Using Optical Coherence Tomography