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Ophthalmological Imaging and Applications

Langue : Anglais

Coordonnateurs : Ng E. Y. K., Acharya U. Rajendra, Rangayyan Rangaraj M., Suri Jasjit S.

Couverture de l’ouvrage Ophthalmological Imaging and Applications

Edited by and featuring contributions from world-class researchers, Ophthalmological Imaging and Applications offers a unified work of the latest human eye imaging and modeling techniques that have been proposed and applied to the diagnosis of ophthalmologic problems, including inflammation, cataracts, diabetic retinopathy, and glaucoma. With a focus on theory, basic principles, and results derived from research, the book:

  • Explores various morphological, textural, higher-order spectral, and wavelet transformation techniques used to extract salient features from images of the human eye
  • Examines 2D and 3D finite element and boundary element models of the human eye developed to simulate thermal steady-state conditions
  • Addresses the difficult task of benchmarking the validity of human eye imaging techniques and computer-simulated results with experimental measurements

Intended to be a companion to Image Analysis and Modeling in Ophthalmology, this volume covers several aspects of multimodal ophthalmological imaging and applications, presenting information in an accessible manner to appeal to a wide audience of students, researchers, and practitioners. Ophthalmological Imaging and Applications considers promising simulations that pave the way for new possibilities in computational methods for eye health care.

Retinal Vascular Imaging in Clinical Research. Detection and Modeling of the Major Temporal Arcade in Retinal Fundus Images. Application of Higher Order Spectra Cumulants for Diabetic Retinopathy Detection using Digital Fundus Images. Quality Measures for Retinal Images. Graph Search Retinal Vessel Tracking. Fundus Autofluorescence Imaging. The Needs/Requirements and Design of Imaging and Image Processing Methods for Ophthalmology in the Indian Context. The Application of Ocular Fundus Photography and Angiography. Optic Nerve Analysis and Imaging in Relation to Glaucoma. Imaging of the Eye after Glaucoma Surgery. Confocal Microscopy of Cornea. Corneal Topography and Tomography. Automatic Analysis of Scanning Laser Ophthalmoscope Sequences for Arteriovenous Passage Time Measurement. Optical Coherence Tomography. The Role of Optical Coherence Tomography on Imaging of the Ocular Surface. Anterior Segment Imaging of Anterior Segment Optical Coherence Tomography. Cyst Detection in OCT Images for Pathology Characterization. Scanning Laser Ophthalmoscope Fundus Perimetry. In Vivo Confocal Microscopy. Biomechanical Modeling of Blood Vessels for Interpretation of Tortuosity Estimates. Hybrid Finite Element Simulation for Bioheat Transfer in Human Eye. Effects of Electromagnetic Fields on Specific Absorption Rate and Heat Transfer in the Human Eye. Dry-Eye Characterization by Analysis of Tear Film Images. Thermography and the Eye.

Eye care professionals, researchers, developers, and undergraduate/graduate students studying and/or incorporating into software elements of image processing and machine vision.

E. Y. K. Ng received his Ph.D from Cambridge University, UK and is an associate professor at Nanyang Technological University, Singapore. He serves as editor for six international journals and as editor-in chief for two SCIE-indexed journals. He is an invited speaker at many international scientific conferences and workshops. His research interests are in thermal imaging, biomedical engineering, breast cancer detection, computational fluid dynamics, and heat transfer.

U. Rajendra Acharya holds a Ph.D from National Institute of Technology Karnataka, Surathkal, India and a D.Eng from Chiba University, Japan. His interests are in biomedical signal processing, bio-imaging, data mining, visualization, and biophysics for better healthcare design, delivery, and therapy. He has worked on various funded projects with grants worth over 1.5 million SGD. He holds faculty positions with Ngee Ann Polytechnic, Singapore; SIM University, Singapore; Singapore Institute of Technology-University of Glasgow Degree Programme; and Manipal Institute of Technology, India. Widely published, he often acts as a guest editor and serves on the editorial board of many journals.

Rangaraj M. Rangayyan is a professor at the University of Calgary, Alberta, Canada. He is a pioneer in the field of computer-aided diagnosis and a fellow of the Institute of Electrical and Electronics Engineers (IEEE), American Institute for Medical and Biological Engineering, Society of Photo-optical Instrumentation Engineers, Engineering Institute of Canada, Society for Imaging Informatics in Medicine, Canadian Medical and Biological Engineering Society, and Canadian Academy of Engineering. His areas of research are digital signal and image processing, biomedical signal and image analysis, and medical imaging. He has been recognized with the 2013 IEEE Canada Outstanding Engineer Medal and the IEEE Third Millennium Medal (2000).

Jasjit S. Suri holds a MS from University of I

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