Chapter 6
Diagnostic Capability of Optical
Coherence Tomography Based
Quantitative Analysis for Various Eye
Diseases and Additional Factors
Affecting Morphological Measurements
Delia Cabrera DeBuc, Jing Tian, Andrea Szigeti, Erika Tátrai,
Boglárka Enik˝ o Varga and Gábor Márk Somfai
Successful retinal layer segmentation allows quantitative studies of the retinal structures based on OCT images, which mainly refer to the layer thickness measurements
and morphology analyses. The aim of this chapter is to summarize the diagnostic
capability of OCT based quantitative analysis for various eye diseases and additional
factors affecting morphological measurements.
6.1 Introduction
OCT provides a non-invasive, high-speed and high-resolution approach to visualize
the cross-sectional or even three-dimensional tissue structures in vivo. OCT has added
significant contributions to many fields of clinical research since its invention in 1991
and since then it has possibly become the most commonly used ophthalmic decisionmaking technology [1–4]. The diagnostic capabilities of OCT have renovated the
ophthalmology practice and provided demonstrable clinical benefits. Widespread
clinical adoption of this technology has resulted in ophthalmic OCT images obtained
each second by the medical community, anywhere in the world. This success has
D. Cabrera DeBuc (B) · J. Tian
Department of Ophthalmology, McKnight Vision Research Center, Bascom Palmer
Eye Institute, University of Miami Miller School of Medicine, Miami, USA
e-mail: dcabrera2@med.miami.edu
A. Szigeti · E. Tátrai · B. E. Varga · G. M. Somfai
Department of Ophthalmology, Semmelweis University, Budapest, Hungary
G. M. Somfai
Retinology Unit, Pallas Kliniken Augenzentrum, Olten, Switzerland
© Science Press and Springer Nature Singapore Pte Ltd. 2019
X. Chen et al. (eds.), Retinal Optical Coherence Tomography Image Analysis,
Biological and Medical Physics, Biomedical Engineering,
https://doi.org/10.1007/978-981-13-1825-2_6
131
Diagnostic Capability of Optical
Coherence Tomography Based
Quantitative Analysis for Various Eye
Diseases and Additional Factors
Affecting Morphological Measurements
Delia Cabrera DeBuc, Jing Tian, Andrea Szigeti, Erika Tátrai,
Boglárka Enik˝ o Varga and Gábor Márk Somfai
Successful retinal layer segmentation allows quantitative studies of the retinal structures based on OCT images, which mainly refer to the layer thickness measurements
and morphology analyses. The aim of this chapter is to summarize the diagnostic
capability of OCT based quantitative analysis for various eye diseases and additional
factors affecting morphological measurements.
6.1 Introduction
OCT provides a non-invasive, high-speed and high-resolution approach to visualize
the cross-sectional or even three-dimensional tissue structures in vivo. OCT has added
significant contributions to many fields of clinical research since its invention in 1991
and since then it has possibly become the most commonly used ophthalmic decisionmaking technology [1–4]. The diagnostic capabilities of OCT have renovated the
ophthalmology practice and provided demonstrable clinical benefits. Widespread
clinical adoption of this technology has resulted in ophthalmic OCT images obtained
each second by the medical community, anywhere in the world. This success has
D. Cabrera DeBuc (B) · J. Tian
Department of Ophthalmology, McKnight Vision Research Center, Bascom Palmer
Eye Institute, University of Miami Miller School of Medicine, Miami, USA
e-mail: dcabrera2@med.miami.edu
A. Szigeti · E. Tátrai · B. E. Varga · G. M. Somfai
Department of Ophthalmology, Semmelweis University, Budapest, Hungary
G. M. Somfai
Retinology Unit, Pallas Kliniken Augenzentrum, Olten, Switzerland
© Science Press and Springer Nature Singapore Pte Ltd. 2019
X. Chen et al. (eds.), Retinal Optical Coherence Tomography Image Analysis,
Biological and Medical Physics, Biomedical Engineering,
https://doi.org/10.1007/978-981-13-1825-2_6
131