Digital Image Processing for Ophthalmology
eBook - PDF

Digital Image Processing for Ophthalmology

Detection and Modeling of Retinal Vascular Architecture

Faraz Oloumi, Rangaraj Rangayyan, Anna Ells

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eBook - PDF

Digital Image Processing for Ophthalmology

Detection and Modeling of Retinal Vascular Architecture

Faraz Oloumi, Rangaraj Rangayyan, Anna Ells

Book details
Table of contents
Citations

About This Book

The monitoring of the effects of retinopathy on the visual system can be assisted by analyzing the vascular architecture of the retina. This book presents methods based on Gabor filters to detect blood vessels in fundus images of the retina. Forty images of the retina from the Digital Retinal Images for Vessel Extraction (DRIVE) database were used to evaluate the performance of the methods. The results demonstrate high efficiency in the detection of blood vessels with an area under the receiver operating characteristic curve of 0.96. Monitoring the openness of the major temporal arcade (MTA) could facilitate improved diagnosis and optimized treatment of retinopathy. This book presents methods for the detection and modeling of the MTA, including the generalized Hough transform to detect parabolic forms. Results obtained with 40 images of the DRIVE database, compared with hand-drawn traces of the MTA, indicate a mean distance to the closest point of about 0.24mm. This book illustrates applications of the methods mentioned above for the analysis of the effects of proliferative diabetic retinopathy and retinopathy of prematurity on retinal vascular architecture.

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Yes, you can access Digital Image Processing for Ophthalmology by Faraz Oloumi, Rangaraj Rangayyan, Anna Ells in PDF and/or ePUB format, as well as other popular books in Technologie et ingénierie & Ingénierie. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Springer
Year
2022
ISBN
9783031016608

Table of contents

  1. Cover Page
  2. Copyright Page
  3. Title Page
  4. Contents
  5. Preface
  6. Acknowledgments
  7. List of Symbols and Abbreviations
  8. Introduction
  9. Computer-aided Analysis of Images of the Retina
  10. Methods for the Detection of Oriented and Geometrical Patterns
  11. Databases of Retinal Images and the Experimental Setup
  12. Detection of Retinal Vasculature
  13. Modeling of the Major Temporal Arcade
  14. Potential Clinical Applications
  15. References
  16. Authors’ Biographies
Citation styles for Digital Image Processing for Ophthalmology

APA 6 Citation

Oloumi, F., Rangayyan, R., & Ells, A. (2014). Digital Image Processing for Ophthalmology ([edition unavailable]). Springer International Publishing. Retrieved from https://www.perlego.com/book/3706485/digital-image-processing-for-ophthalmology-detection-and-modeling-of-retinal-vascular-architecture-pdf (Original work published 2014)

Chicago Citation

Oloumi, Faraz, Rangaraj Rangayyan, and Anna Ells. (2014) 2014. Digital Image Processing for Ophthalmology. [Edition unavailable]. Springer International Publishing. https://www.perlego.com/book/3706485/digital-image-processing-for-ophthalmology-detection-and-modeling-of-retinal-vascular-architecture-pdf.

Harvard Citation

Oloumi, F., Rangayyan, R. and Ells, A. (2014) Digital Image Processing for Ophthalmology. [edition unavailable]. Springer International Publishing. Available at: https://www.perlego.com/book/3706485/digital-image-processing-for-ophthalmology-detection-and-modeling-of-retinal-vascular-architecture-pdf (Accessed: 15 October 2022).

MLA 7 Citation

Oloumi, Faraz, Rangaraj Rangayyan, and Anna Ells. Digital Image Processing for Ophthalmology. [edition unavailable]. Springer International Publishing, 2014. Web. 15 Oct. 2022.