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Automatic quantification of choroidal neovascularization lesion area on OCT angiography based on density cell-like P systems with active membranes

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BIOMEDICAL OPTICS EXPRESS 2018年第7期9卷 3208-3219页

作者： Xue, Jie Camino, Acner Bailey, Steven T. Liu, Xiyu Li, Dengwang Jia, Yali Oregon Hlth & Sci Univ Casey Eye Inst Portland OR 97239 USA Shandong Normal Univ Sch Management Sci & Engn Jinan 250014 Shandong Peoples R China Shandong Normal Univ Sch Phys & Elect Shandong Prov Key Lab Med Phys & Image Proc Techn Jinan 250014 Shandong Peoples R China

Detecting and quantifying the size of choroidal neovascularization (CNV) is important for the diagnosis and assessment of neovascular age-related macular degeneration. Depth-resolved imaging of the retinal and choroidal vasculature by optical coherence tomography angiography (OCTA) has enabled the visualization of CNV. However, due to the prevalence of artifacts, it is difficult to segment and quantify the CNV lesion area automatically. We have previously described a saliency algorithm for CNV detection that could identify a CNV lesion area with 83% accuracy. However, this method works under the assumption that the CNV region is the most salient area for visual attention in the whole image and consequently, errors occur when this requirement is not met (e.g. when the lesion occupies a large portion of the image). Moreover, saliency image processing methods cannot extract the edges of the salient object very accurately. In this paper, we propose a novel and automatic CNV segmentation method based on an unsupervised and parallel machine learning technique named density cell-like P systems (DEC P systems). DEC P systems integrate the idea of a modified clustering algorithm into cell-like P systems. This method improved the accuracy of detection to 87.2% on 22 subjects and obtained clear boundaries of the CNV lesions. (C) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.

关键词： Digital imaging image processing image processing algorithms Medical image processing Optical coherence tomography Pattern recognition

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Advanced Infrared Technology and Applications 2020: introduction to the feature issue

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APPLIED OPTICS 2020年第17期59卷 AIT1-AIT6页

作者： Strojnik, Marija D'Acunto, Mario Rogalski, Antoni Infrared Grp Opt Res Ctr AP 1-948 Leon 37000 Gto Mexico CNR Inst Biophys Via G Moruzzi 1 I-56124 Pisa Italy Mil Univ Technol Inst Appl Phys 2 Kaliskiego Str PL-00908 Warsaw Poland

The 2020 edition of the Applied Optics (AO) special issue on advanced infrared technology and applications (AITA) collects significantly expanded refereed papers presented at the conference of the same name, held in Florence, Italy, 16-19 September 2019. All authors who participated at the conference were contacted and invited to contribute to this special issue. The issue also was expanded to include contributions from other practitioners of IR through direct contact and a call for papers published inAO. (C) 2020 Optical Society of America

关键词： Fourier transform infrared spectroscopy image metrics image processing algorithms Metrological instrumentation Scanning electron microscopy Single mode fibers

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Deconvolution methods for image deblurring in optical coherence tomography

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JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS image SCIENCE AND VISION 2009年第1期26卷 72-77页

作者： Liu, Yiheng Liang, Yanmei Mu, Guoguang Zhu, Xiaonong Nankai Univ Inst Modern Opt Key Lab Optoelect Informat Sci & Technol Educ Minist China Tianjin 300071 Peoples R China

Two-dimensional deconvolution methods are proposed to deblur optical coherence tomography images. One employs a two-dimensional deconvolution with a matrix given by the product of the longitudinal and transversal point-spread functions as its kernel, which can be taken as the general point-spread function of an optical coherence tomography system. The other uses two one-dimensional deconvolutions with the longitudinal and transversal point-spread functions successively. It is shown that the two deconvolution methods can deblur the experimentally obtained optical coherence tomography images effectively. (C) 2008 Optical Society of America

关键词： Digital image processing image metrics image processing algorithms image quality image restoration Optical coherence tomography

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Fitting-free algorithm for efficient quantification of collagen fiber alignment in SHG imaging applications

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BIOMEDICAL OPTICS EXPRESS 2017年第10期8卷 4609-4620页

作者： Hall, Gunnsteinn Liang, Wenxuan Li, Xingde Johns Hopkins Univ Dept Biomed Engn Baltimore MD 21205 USA

Collagen fiber alignment derived from second harmonic generation (SHG) microscopy images can be important for disease diagnostics. image processing algorithms are needed to robustly quantify the alignment in images with high sensitivity and reliability. Fourier transform (FT) magnitude, 2D power spectrum, and image autocorrelation have previously been used to extract fiber information from images by assuming a certain mathematical model (e.g. Gaussian distribution of the fiber-related parameters) and fitting. The fitting process is slow and fails to converge when the data is not Gaussian. Herein we present an efficient constant-time deterministic algorithm which characterizes the symmetricity of the FT magnitude image in terms of a single parameter, named the fiber alignment anisotropy R ranging from 0 (randomized fibers) to 1 (perfect alignment). This represents an important improvement of the technology and may bring us one step closer to utilizing the technology for various applications in real time. In addition, we present a digital image phantom-based framework for characterizing and validating the algorithm, as well as assessing the robustness of the algorithm against different perturbations. (C) 2017 Optical Society of America

关键词： Biological imaging Digital imaging Fourier transforms image processing image processing algorithms Power spectra

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Micro vision-based measurement of concentricity for both TO base and active area of a APD chip in optical component packaging

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OPTICS EXPRESS 2022年第21期30卷 38468-38480页

作者： Wang, Xudong Liu, Lin Ye, Yutang Liu, Juanxiu Chen, Peng Zhang, Jing Du, Xiaohui Liu, Yong Univ Elect Sci & Technol China Ctr Intelligent Opt Microscopy Technol Key Lab Photoelect Detect & Sensing Minist Educ Chengdu 610054 Peoples R China Univ Elect Sci & Technol China Sch Optoelect Sci & Engn State Key Lab Elect Thin Films & Integrated Devic Chengdu 610054 Peoples R China

The avalanche photodiode (APD) chip is the core component of the transistor outline (TO). The concentricity between the inner circle (IC) of the APD active area and the outer circle (OC) of the TO base will directly affect a component's key performance indicators, such as external quantum efficiency, receiving sensitivity and responsivity, thereby impacting quality assurance, performance improvement, and stable operation. Nevertheless, as the surge in demand for components increases, the traditional visual inspection relying on manual and microscope has been unable to meet the requirements of mass manufacturing for real-time quality and efficiency. Thus, a Concentricity Microscopic Vision Measurement System (CMVMS) mainly composed of a microscopic vision acquisition unit and an intelligent concentricity measurement unit has been proposed, designed, and implemented. On the basis of analyzing the 3D complex environment of TO components, a coaxial illumination image acquisition scheme that can take into account the characteristics of the OC and IC has been proposed. Additionally, a concentricity image measurement method based on dynamic threshold segmentation has been designed to reduce the interference of complex industrial environment changes on measurement accuracy. The experiment results show that the measurement accuracy of the CMVMS system is over 97%, and with a single measurement time of less than 0.2s, it can better meet the real-time and accuracy requirements. To the best of our knowledge, this is the first report on the realization of real-time concentricity measurement in optical component packaging, and this technology can be extended to other fields of concentricity measurement.

关键词： image processing algorithms image quality Light beams Light fields Optical components Optical testing

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Bacteria identification in an optical system with optimized diffraction pattern registration condition supported by enhanced statistical analysis

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OPTICS EXPRESS 2014年第21期22卷 26312-26327页

作者： Suchwalko, Agnieszka Buzalewicz, Igor Podbielska, Halina Wroclaw Univ Technol Inst Biomed Engn & Instrumentat Bioopt Grp PL-50370 Wroclaw Poland AVL SP Zoo PL-55200 Olawa Poland

It is possible to identify bacteria species basing on their diffraction patterns followed by statistical analysis. The new approach exploits two steps: optimization of the recording conditions and introduction of new interpretable features for the identification. First, optimal diffraction registration plane, was determined. Next, results were verified by the analysis workflow based on ANOVA and Fisher divergence for feature selection, QDA and SVM models for classification and identification and CV with stratified sampling, sensitivity and specificity for performance assessment of the identification process. The proposed approach resulted in high sensitivity 0.9759 and specificity 0.9903 with very small identification error 1.34%. (C) 2014 Optical Society of America

关键词： Fresnel diffraction Holographic microscopy image processing algorithms Light diffraction Optical properties Ptychography

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Surface-roughness measurement based on the intensity correlation function of scattered light under speckle-pattern illumination

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APPLIED OPTICS 1999年第7期38卷 1144-1152页

作者： Lehmann, P Univ Bremen FB4 D-28334 Bremen Germany

The statistical properties of speckle patterns generated from a rough surface under a fully developed static speckle-pattern illumination are examined. The roughness dependence of the intensity autocorrelation function is studied and utilized to characterize typical engineering surfaces with anisotropic roughness;The speckle patterns under investigation are recorded by use of a CCD technique and are then analyzed by digital image processing algorithms to obtain a parameter that describes the surface roughness. It is shown that an in-process surface inspection can be achieved by this method. (C) 1999 Optical Society of America.

关键词： Digital image processing Diode lasers image processing algorithms Speckle patterns Statistical optics Surface roughness measurement

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Annular phase grating-assisted recording of an ultrahigh-order optical orbital angular momentum

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OPTICS EXPRESS 2022年第21期30卷 37526-37535页

作者： Ni, Wenjun Liu, Rui Yang, Chunyong Tian, Yongsheng Hou, Jin Shum, Perry Ping Chen, Shaoping South Cent Minzu Univ Coll Elect & Informat Engn Hubei Key Lab Intelligent Wireless Commun Wuhan 430074 Peoples R China Southern Univ Sci & Technol Coll Engn Dept Elect & Elect Engn Shenzhen 518055 Peoples R China

Ultrahigh-order optical orbital angular momentum (OAM) states of the identification over +/- 270 orders are implemented by annular phase grating (APG) and Gaussian beams with different wavelengths. Particularly, the far-field diffraction intensity patterns feature the spiral stripes instead of Hermitian-Gaussian (HG)-like fringes. It's worth noting that the spiral stripes present uniform distribution, thus the order of OAM states can be intuitively acquired. More specifically, the OAM states can be confirmed from the total amount and rotating direction of the spiral stripes. Compared with traditional methods, the propose scheme contributes to the perfect-distributed and sharper spiral stripes. Moreover, it also makes an easier observation of the patterns in the CCD camera with limited imaging targets. In our experimental setup, the optical filter is removed and the APG parameters are not strictly required. Therefore, the propose optical transmission system is equipped with the advantages of efficiency, robustness and low cost, which paves a promising way for the communication capacity enhancement.(c) 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

关键词： Far field diffraction image processing algorithms Liquid crystal modulators Optical angular momentum Quantum information processing Vortex beams

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Dynamic optical studies in materials testing with spectral-domain polarization-sensitive optical coherence tomography

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OPTICS EXPRESS 2010年第25期18卷 25712-25725页

作者： Stifter, David Leiss-Holzinger, Elisabeth Major, Zoltan Baumann, Bernhard Pircher, Michael Goetzinger, Erich Hitzenberger, Christoph K. Heise, Bettina Johannes Kepler Univ Linz Ctr Surface & Nanoanalyt Christian Doppler Lab Microscop & Spect Mat Chara A-4040 Linz Austria Res Ctr Non Destruct Testing GmbH A-4020 Linz Austria Johannes Kepler Univ Linz Inst Polymer Prod Engn A-4040 Linz Austria Med Univ Vienna Ctr Med Phys & Biomed Engn A-1090 Vienna Austria Johannes Kepler Univ Linz Dept Knowledge Based Math Syst Christian Doppler Lab Microscop & Spect Mat Chara A-4040 Linz Austria

By combining dynamic mechanical testing with spectral-domain polarization-sensitive optical coherence tomography (SD-PS-OCT) performed at 1550 nm we are able to directly investigate for the first time changes within scattering technical materials during tensile and fracture tests. Spatially and temporally varying polarization patterns, due to defects and material inhomogeneities, were observed within bulk polymer samples and used to finally obtain - with the help of advanced image processing algorithms - quantitative maps of the evolving internal stress distribution. Furthermore, locally increased stress within fiber-reinforced composite materials was identified in situ with SD-PS-OCT to cause depolarizing sites of fiber-matrix debonding prior the onset of complete structural failure. (C) 2010 Optical Society of America

关键词： image processing image processing algorithms Optical materials Optical properties Scattering media Spectral domain optical coherence tomography

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Computational imaging modalities for multi-focal whole-slide imaging systems

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APPLIED OPTICS 2020年第20期59卷 5967-5982页

作者： van der Graaff, Leon van Leenders, Geert J. L. H. Boyaval, Fanny Stallinga, Sjoerd Delft Univ Technol Dept Imaging Phys Delft Netherlands Erasmus MC Dept Pathol Rotterdam Netherlands Leiden Univ Dept Pathol Med Ctr Leiden Netherlands

Whole-slide imaging systems can generate full-color image data of tissue slides efficiently, which are needed for digital pathology applications. This paper focuses on a scanner architecture that is based on a multi-line image sensor that is tilted with respect to the optical axis, such that every line of the sensor scans the tissue slide at a different focus level. This scanner platform is designed for imaging with continuous autofocus and inherent color registration at a throughput of the order of 400 MPx/s. Here, single-scan multi-focal whole-slide imaging, enabled by this platform, is explored. In particular, two computational imaging modalities based on multi-focal image data are studied. First, 3D imaging of thick absorption stained slides (similar to 60 mu m) is demonstrated in combination with deconvolution to ameliorate the inherently weak contrast in thick-tissue imaging. Second, quantitative phase tomography is demonstrated on unstained tissue slides and on fluorescently stained slides, revealing morphological features com-plementary to features made visible with conventional absorption or fluorescence stains. For both computational approaches simplified algorithms are proposed, targeted for straightforward parallel processing implementation at similar to GPx/s throughputs. (C) 2020 Optical Society of America

关键词： image formation theory image processing image processing algorithms image quality Imaging systems Three dimensional imaging

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