Добірка наукової літератури з теми "Functional retinal imaging"
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Статті в журналах з теми "Functional retinal imaging"
Ganekal, Sunil. "Retinal functional imager (RFI): Non-invasive functional imaging of the retina." Nepalese Journal of Ophthalmology 5, no. 2 (September 25, 2013): 250–57. http://dx.doi.org/10.3126/nepjoph.v5i2.8738.
Повний текст джерелаHunter, Jennifer J., William H. Merigan, and Jesse B. Schallek. "Imaging Retinal Activity in the Living Eye." Annual Review of Vision Science 5, no. 1 (September 15, 2019): 15–45. http://dx.doi.org/10.1146/annurev-vision-091517-034239.
Повний текст джерелаYao, Xincheng, Taeyoon Son, Tae-Hoon Kim, and Yiming Lu. "Functional optical coherence tomography of retinal photoreceptors." Experimental Biology and Medicine 243, no. 17-18 (November 27, 2018): 1256–64. http://dx.doi.org/10.1177/1535370218816517.
Повний текст джерелаBarliya, Tilda, Ron Ofri, Shai Sandalon, Dov Weinberger, and Tami Livnat. "Changes in Retinal Function and Cellular Remodeling Following Experimental Retinal Detachment in a Rabbit Model." Journal of Ophthalmology 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/4046597.
Повний текст джерелаAzuma, Shinnosuke, Shuichi Makita, Deepa Kasaragod, Satoshi Sugiyama, Masahiro Miura, and Yoshiaki Yasuno. "Clinical multi-functional OCT for retinal imaging." Biomedical Optics Express 10, no. 11 (October 14, 2019): 5724. http://dx.doi.org/10.1364/boe.10.005724.
Повний текст джерелаNguyen, Van, and Yannis Paulus. "Photoacoustic Ophthalmoscopy: Principle, Application, and Future Directions." Journal of Imaging 4, no. 12 (December 12, 2018): 149. http://dx.doi.org/10.3390/jimaging4120149.
Повний текст джерелаHugo, Juliette, Marie Beylerian, Eric Denion, Aurore Aziz, Pierre Gascon, Danièle Denis, and Frédéric Matonti. "Multimodal imaging of torpedo maculopathy including adaptive optics." European Journal of Ophthalmology 30, no. 2 (February 8, 2019): NP27—NP31. http://dx.doi.org/10.1177/1120672119827772.
Повний текст джерелаGao, Guanjie, Liwen He, Shengxu Liu, Dandan Zheng, Xiaojing Song, Wenxin Zhang, Minzhong Yu, Guangwei Luo, and Xiufeng Zhong. "Establishment of a Rapid Lesion-Controllable Retinal Degeneration Monkey Model for Preclinical Stem Cell Therapy." Cells 9, no. 11 (November 13, 2020): 2468. http://dx.doi.org/10.3390/cells9112468.
Повний текст джерелаYao, Xincheng, and Tae-Hoon Kim. "Fast intrinsic optical signal correlates with activation phase of phototransduction in retinal photoreceptors." Experimental Biology and Medicine 245, no. 13 (June 19, 2020): 1087–95. http://dx.doi.org/10.1177/1535370220935406.
Повний текст джерелаde Carvalho, Emanuel R., Richelle J. M. Hoveling, Cornelis J. F. van Noorden, Reinier O. Schlingemann, and Maurice C. G. Aalders. "Functional Imaging of the Ocular Fundus Using an 8-Band Retinal Multispectral Imaging System." Instruments 4, no. 2 (May 7, 2020): 12. http://dx.doi.org/10.3390/instruments4020012.
Повний текст джерелаДисертації з теми "Functional retinal imaging"
Dombrowski, Francis J. "Functional specifications to an automated retinal scanner for use in plotting the vascular map." Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/23243.
Повний текст джерелаThe connection between eye disease and diabetes is proven and is no longer a point of conjecture. In focusing attention on the retina, profound inroads have been made in the fight against this dreaded disorder of the blood. By carefully imaging the blood vessels in the eye, medical professionals can make accurate diagnoses based upon the changes and abnormalities observed. In addition, because the vasculature in the retina is extremely sensitive to fluctuations in normal bodily processes, often the first indication of diabetes and many other diseases manifest themselves here and are found during routine eye examinations. This thesis will explore the possibilities of a new method of retinal imaging by the blending and application of existing technologies. With the use of an automated, infrared-based imaging system, problems related to human error and the limitations of existing methods can be readily resolved and the groundwork can be laid for a new standard of accuracy in retinal imaging. Most importantly, it will automate the entire procedure providing medical specialists heretofore unavailable accuracy in their diagnoses.
http://archive.org/details/functionalspecif00domb
Lieutenant, United States Navy
Heise, Erich A. "Development and Commercialization of Functional, Non-Invasive Retinal Imaging Device Utilizing Quantification of Flavoprotein Fluorescence for the Diagnosis and Monitoring of Retinal Disease." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1458921113.
Повний текст джерелаMartin, Carlos GiÌas. "Functional characteristics of rat visual cortex using optical imaging techniques : application to retinal transplantation." Thesis, University of Sheffield, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.419268.
Повний текст джерелаGofas, Salas Elena. "Manipulation of the illumination of an Adaptive Optics Flood Illumination Ophthalmoscope for functional imaging of the retina in-vivo High loop rate adaptive optics flood illumination ophthalmoscope with structured illumination capability In vivo near-infrared autofluorescence imaging of retinal pigment epithelial cells with 757 nm excitation." Thesis, Sorbonne université, 2019. http://www.theses.fr/2019SORUS195.
Повний текст джерелаAs the only transparent optical window of our body, the eye gives a unique access to the observation of neural and vascular networks. Today however, a new era is opening up for high-resolution imaging, which should no longer be limited to giving access to tissue structures, but may also tackle their functions. In fact, biomarkers for the functioning of the whole human body can be found in retinal imaging. Neurodegenerative diseases (Parkinson's, Alzheimer's) or arterial hypertension could thus be diagnosed early by high precision imaging of the retina. In my thesis work, I intended to show how the full-field ophthalmoscope, associated to imaging modalities adjusting geometrical settings of the illumination, could contribute to research on the retina. To achieve this ambitious goal, we modified the full-field ophthalmoscope built at the National Hospital Center of Quinze-Vingts with a specific image processing and two new instruments inspired by full-field microscopy. We have integrated these instruments into the illumination path of the ophthalmoscope to manipulate the geometry of the retinal illumination. These new implementations allow us to make use of more advanced imaging techniques, such as dark field imaging or noninvasive near infrared angiography. These imaging modalities have been exploited to image the retina functionally. We focused mainly on the light coupling function of photoreceptors and on blood perfusion
Wolsley, Clive. "Structure-function studies of the retina using retinal imaging and multifocal electroretinography." Thesis, University of Ulster, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.554273.
Повний текст джерелаSrinivasan, Vivek Jay. "High-speed Fourier domain Optical Coherence Tomography for structural and functional imaging of the retina." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45748.
Повний текст джерелаIncludes bibliographical references.
Optical Coherence Tomography (OCT) is an emerging optical biomedical imaging technology that enables cross-sectional imaging of scattering tissue with high sensitivity and micron-scale resolution. In conventional OCT, the reference arm path length in a Michelson interferometer is scanned in time to generate a profile of backscattering versus depth from the sample arm. In conventional OCT, a broadband, low coherence light source is used to achieve high axial resolution. However, clinical and research applications of conventional OCT have been limited by low imaging speeds. Recently, new Fourier domain OCT detection methods have enabled speeds of ~20,000-40,000 axial scans per second, which are ~50-100x faster than conventional OCT. These methods are called "Fourier domain" because they detect the interference spectrum and do not require mechanical scanning of the reference arm path length in time. In this thesis, two different technologies for Fourier domain OCT are investigated. The first technology, called spectral OCT, uses a broadband light source and a spectrometer to measure the interference spectrum. The second technology, called swept source OCT, uses a rapidly tunable narrowband laser to measure the interference spectrum over time. Applications of these new technologies for retinal imaging are illustrated, including three-dimensional retinal imaging in animal models, clinical imaging of retinal pathologies, quantification of photoreceptor morphology, and functional imaging of intrinsic stimulus-induced scattering changes in the retina. Finally, using a rapidly tunable laser, ultrahigh-speed swept source OCT imaging at 249,000 axial scans per second, roughly three orders of magnitude faster than conventional OCT, is demonstrated. This technology is applied for three-dimensional snapshots of the retina and optic nerve head and unprecedented visualization of retinal anatomy.
by Vivek Jay Srinivasan.
Ph.D.
Denniss, Jonathan. "Diagnostic imaging and the structure-function relationship in glaucoma." Thesis, University of Manchester, 2010. https://www.research.manchester.ac.uk/portal/en/theses/diagnostic-imaging-and-the-structurefunction-relationship-in-glaucoma(24b94e53-d0b9-4437-a639-8ea739049d22).html.
Повний текст джерелаTan, Wylie. "Localizing Structural and Functional Damage in the Neural Retina of Adolescents with Type 1 Diabetes." Thesis, 2012. http://hdl.handle.net/1807/33569.
Повний текст джерелаBower, Bradley A. "Functional Spectral Domain Optical Coherence Tomography Imaging." Diss., 2009. http://hdl.handle.net/10161/1311.
Повний текст джерелаSpectral Domain Optical Coherence Tomography (SDOCT) is a high-speed, high resolution imaging modality capable of structural and functional resolution of tissue microstructure. SDOCT fills a niche between histology and ultrasound imaging, providing non-contact, non-invasive backscattering amplitude and phase from a sample. Due to the translucent nature of the tissue, ophthalmic imaging is an ideal space for SDOCT imaging.
Structural imaging of the retina has provided new insights into ophthalmic disease. The phase component of SDOCT images remains largely underexplored, though. While Doppler SDOCT has been explored in a research setting, it remains to catch on in the clinic. Other, functional exploitations of the phase are possible and necessary to expand the utility of SDOCT. Spectral Domain Phase Microscopy (SDPM) is an extension of SDOCT that is capable of resolving sub-wavelength displacements within a focal volume. Application of sub-wavelength displacement measurement ophthalmic imaging could provide a new method for imaging of optophysiology.
This body of work encompasses both hardware and software design and development for implementation of SDOCT. Structural imaging was proven in both the lab and the clinic. Coarse phase changes associated with Doppler flow frequency shifts were recorded and a study was conducted to validate Doppler measurement. Fine phase changes were explored through SDPM applications. Preliminary optophysiology data was acquired to study the potential of sub-wavelength measurements in the retina. To remove the complexity associated with in-vivo human retinal imaging, a first principles approach using isolated nerve samples was applied using standard SDPM and a depth-encoded technique for measuring conduction velocity.
Results from amplitude as well as both coarse and fine phase processing are presented. In-vivo optophysiology using SDPM is a promising avenue for exploration, and projects furthering or extending this body of work are discussed.
Dissertation
Bruce, A., I. E. Pacey, J. A. Bradbury, A. J. Scally, and B. T. Barrett. "Bilateral changes in foveal structure in individuals with amblyopia." 2013. http://hdl.handle.net/10454/5894.
Повний текст джерелаЧастини книг з теми "Functional retinal imaging"
Yao, Xin-Cheng, and Yi-Chao Li. "Functional Imaging of Retinal Photoreceptors and Inner Neurons Using Stimulus-Evoked Intrinsic Optical Signals." In Retinal Development, 277–85. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-848-1_20.
Повний текст джерелаCheong, Soon K., Wenjun Xiong, Jennifer M. Strazzeri, Constance L. Cepko, David R. Williams, and William H. Merigan. "In Vivo Functional Imaging of Retinal Neurons Using Red and Green Fluorescent Calcium Indicators." In Retinal Degenerative Diseases, 135–44. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75402-4_17.
Повний текст джерелаMichelson, Georg, Jürgen Welzenbach, Istvan Pal, and Joana Harazny. "Functional imaging of the retinal microvasculature by Scanning Laser Doppler Flowmetry." In Laser Scanning: Update 1, 145–53. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0322-3_24.
Повний текст джерелаDuan, Jinming, Weicheng Xie, Ryan Wen Liu, Christopher Tench, Irene Gottlob, Frank Proudlock, and Li Bai. "OCT Segmentation: Integrating Open Parametric Contour Model of the Retinal Layers and Shape Constraint to the Mumford-Shah Functional." In Shape in Medical Imaging, 178–88. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04747-4_17.
Повний текст джерелаLin, Julie Qiaojin, and Jean-Michel Cioni. "Live Imaging of RNA Transport and Translation in Xenopus Retinal Axons." In Methods in Molecular Biology, 49–69. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-1990-2_3.
Повний текст джерелаAbdallah, Walid, and Amani Fawzi. "Functional Retinal Imaging." In Emerging Technologies in Retinal Diseases, 15. Jaypee Brothers Medical Publishers (P) Ltd., 2009. http://dx.doi.org/10.5005/jp/books/10256_2.
Повний текст джерелаFawzi, Amani. "Chapter-05 Compress Functional Retinal Imaging Evaluation in Retinal Diseases." In Optical Coherence Tomography in Macular Diseases and Glaucoma�Advanced Knowledge, 65–82. Jaypee Brothers Medical Publishers (P) Ltd, 2012. http://dx.doi.org/10.5005/jp/books/11829_5.
Повний текст джерелаLestak, Jan, and Martin Fůs. "Neuropathology in Hypertensive Glaucoma." In Ocular Hypertension [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96034.
Повний текст джерелаMayer, Hylton R., and Marc L. Weitzman. "Automated Perimetry in Glaucoma." In Visual Fields. Oxford University Press, 2010. http://dx.doi.org/10.1093/oso/9780195389685.003.0009.
Повний текст джерелаAsad, Ahmed Hamza, Ahmad Taher Azar, and Aboul Ella Hassanien. "A New Heuristic Function of Ant Colony System for Retinal Vessel Segmentation." In Medical Imaging, 2063–81. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0571-6.ch083.
Повний текст джерелаТези доповідей конференцій з теми "Functional retinal imaging"
Węgrzyn, Piotr, Dawid Borycki, Sławomir Tomczewski, Kamil Liżewski, Egidijus Auksorius, Andrea Curatolo, and Maciej Wojtkowski. "Functional and Structural Imaging of Retinal Tissue with Spatio-Temporal Optical Coherence Tomography (STOC-T)." In Frontiers in Optics. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/fio.2022.fw7d.2.
Повний текст джерелаTs’o, Daniel Y., Jesse Schallek, Randy Kardon, and Qian Du. "Intrinsic Signal Functional Imaging of the Retina: Outer Retinal Origins." In Frontiers in Optics. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/fio.2013.ftu5i.1.
Повний текст джерелаRamos-Soto, Oscar, Erick Rodriguez-Esparza, Marco Pérez-Cisneros, and Sandra E. Balderas-Mata. "Inner limiting membrane segmentation and surface visualization method on retinal OCT images." In Biomedical Applications in Molecular, Structural, and Functional Imaging, edited by Barjor S. Gimi and Andrzej Krol. SPIE, 2021. http://dx.doi.org/10.1117/12.2580910.
Повний текст джерелаPan, Lingjiao, Liling Guan, Fei Shi, Xinjian Chen, Weifang Zhu, and Baoqing Nie. "Detection and registration of vessels for longitudinal 3D retinal OCT images using SURF." In Biomedical Applications in Molecular, Structural, and Functional Imaging, edited by Barjor Gimi and Andrzej Krol. SPIE, 2018. http://dx.doi.org/10.1117/12.2292970.
Повний текст джерелаZhang, Min, Lei Zhang, Jia Yang Wang, Jun Feng, and Yi Lv. "Deep convolutional network based on rank learning for OCT retinal images quality assessment." In Biomedical Applications in Molecular, Structural, and Functional Imaging, edited by Barjor Gimi and Andrzej Krol. SPIE, 2019. http://dx.doi.org/10.1117/12.2513689.
Повний текст джерелаZabihollahy, Fatemeh, Aidan Lochbihler, and Eranga Ukwatta. "Deep learning based approach for fully automated detection and segmentation of hard exudate from retinal images." In Biomedical Applications in Molecular, Structural, and Functional Imaging, edited by Barjor Gimi and Andrzej Krol. SPIE, 2019. http://dx.doi.org/10.1117/12.2513034.
Повний текст джерелаTavakoli, Meysam, and Mahdieh Nazar. "Comparison different vessel segmentation methods in automated microaneurysms detection in retinal images using convolutional neural networks." In Biomedical Applications in Molecular, Structural, and Functional Imaging, edited by Barjor S. Gimi and Andrzej Krol. SPIE, 2020. http://dx.doi.org/10.1117/12.2548359.
Повний текст джерелаRoy, Priyanka, Mohana Kuppuswamy Parthasarathy, John Zelek, and Vasudevan Lakshminarayanan. "Comparison of Gaussian filter versus wavelet-based denoising on graph-based segmentation of retinal OCT images." In Biomedical Applications in Molecular, Structural, and Functional Imaging, edited by Barjor Gimi and Andrzej Krol. SPIE, 2018. http://dx.doi.org/10.1117/12.2292479.
Повний текст джерелаWang, Jui-Kai, Michelle R. Tamplin, Mona K. Garvin, Isabella M. Grumbach, and Randy H. Kardon. "A superpixel-histogram method to analyze retinal, optic nerve, and choroidal blood flow using laser speckle flowgraphy." In Biomedical Applications in Molecular, Structural, and Functional Imaging, edited by Barjor S. Gimi and Andrzej Krol. SPIE, 2022. http://dx.doi.org/10.1117/12.2611850.
Повний текст джерелаLiu, Jianfei, Yoo-Jean Han, Tao Liu, and Johnny Tam. "Spatially aware deep learning improves identification of retinal pigment epithelial cells with heterogeneous fluorescence levels visualized using adaptive optics." In Biomedical Applications in Molecular, Structural, and Functional Imaging, edited by Barjor S. Gimi and Andrzej Krol. SPIE, 2020. http://dx.doi.org/10.1117/12.2549290.
Повний текст джерелаЗвіти організацій з теми "Functional retinal imaging"
Choi, S., N. Doble, J. Hardy, S. Jones, J. Keltner, S. Olivier, and J. Werner. In-vivo imaging of the photoreceptor mosaic in retinal dystrophies and correlations with visual function. Office of Scientific and Technical Information (OSTI), October 2005. http://dx.doi.org/10.2172/886664.
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