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020 _a9783031016493
_9978-3-031-01649-3
024 7 _a10.1007/978-3-031-01649-3
_2doi
050 4 _aT1-995
072 7 _aTBC
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082 0 4 _a620
_223
100 1 _aZhu, Xiaolu.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984104
245 1 0 _aDigital Image Processing for Ophthalmology
_h[electronic resource] :
_bDetection of the Optic Nerve Head /
_cby Xiaolu Zhu, Rangaraj Rangayyan, Anna L. Ells.
250 _a1st ed. 2011.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2011.
300 _aXIII, 95 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Biomedical Engineering,
_x1930-0336
505 0 _aIntroduction -- Computer-aided Analysis of Images of the Retina -- Detection of Geometrical Patterns -- Datasets and Experimental Setup -- Detection of the\\Optic Nerve Head\\Using the Hough Transform -- Detection of the\\Optic Nerve Head\\Using Phase Portraits -- Concluding Remarks.
520 _aFundus images of the retina are color images of the eye taken by specially designed digital cameras. Ophthalmologists rely on fundus images to diagnose various diseases that affect the eye, such as diabetic retinopathy and retinopathy of prematurity. A crucial preliminary step in the analysis of retinal images is the identification and localization of important anatomical structures, such as the optic nerve head (ONH), the macula, and the major vascular arcades. Identification of the ONH is an important initial step in the detection and analysis of the anatomical structures and pathological features in the retina. Different types of retinal pathology may be detected and analyzed via the application of appropriately designed techniques of digital image processing and pattern recognition. Computer-aided analysis of retinal images has the potential to facilitate quantitative and objective analysis of retinal lesions and abnormalities. Accurate identification and localization of retinal features and lesions could contribute to improved diagnosis, treatment, and management of retinopathy. This book presents an introduction to diagnostic imaging of the retina and an overview of image processing techniques for ophthalmology. In particular, digital image processing algorithms and pattern analysis techniques for the detection of the ONH are described. In fundus images, the ONH usually appears as a bright region, white or yellow in color, and is indicated as the convergent area of the network of blood vessels. Use of the geometrical and intensity characteristics of the ONH, as well as the property that the ONH represents the location of entrance of the blood vessels and the optic nerve into the retina, is demonstrated in developing the methods. The image processing techniques described in the book include morphological filters for preprocessing fundus images, filters for edge detection, the Hough transform for the detection of lines and circles, Gabor filters to detect the blood vessels, and phase portrait analysis for the detection of convergent or node-like patterns. Illustrations of application of the methods to fundus images from two publicly available databases are presented, in terms of locating the center and the boundary of the ONH. Methods for quantitative evaluation of the results of detection of the ONH using measures of overlap and free-response receiver operating characteristics are also described. Table of Contents: Introduction / Computer-aided Analysis of Images of the Retina / Detection of Geometrical Patterns / Datasets and Experimental Setup / Detection of the\\Optic Nerve Head\\Using the Hough Transform / Detection of the\\Optic Nerve Head\\Using Phase Portraits / Concluding Remarks.
650 0 _aEngineering.
_99405
650 0 _aBiophysics.
_94093
650 0 _aBiomedical engineering.
_93292
650 1 4 _aTechnology and Engineering.
_984105
650 2 4 _aBiophysics.
_94093
650 2 4 _aBiomedical Engineering and Bioengineering.
_931842
700 1 _aRangayyan, Rangaraj.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984107
700 1 _aElls, Anna L.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984108
710 2 _aSpringerLink (Online service)
_984111
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031005213
776 0 8 _iPrinted edition:
_z9783031027772
830 0 _aSynthesis Lectures on Biomedical Engineering,
_x1930-0336
_984113
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01649-3
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