Chapter 9
Choroidal OCT Analytics
Kiran Kumar Vupparaboina, Ashutosh Richhariya,
Jay Chhablani and Soumya Jana
The advance in OCT imaging techniques allow visualization of the deeper structures
of the eye, including the choroid, the structural change of which is associated with
various diseases. In this chapter, methodologies are presented for automatic quantification of choroidal measurements such as thickness, volume and stromal-luminal
ratio, which are indicators crucial in disease diagnosis and treatment response monitoring.
9.1 Introduction
The choroid layer, sandwiched between the retinal pigment epithelium (RPE) and the
sclera, has complex vasculature, performs critical physiological functions [1–5], and
assumes crucial role in diagnosing various disease conditions. Such diseases include
age-related macular degeneration (AMD), central serous chorioretinopathy (CSC),
Vogt-Koyanagi-Harada syndrome, and choroiditis [6–10]. The advent of OCT has
lead to improved visualization of the choroid, and hence improved diagnosis [11].
Among various OCT technologies, the spectral domain OCT (SD-OCT) is perhaps
the most ubiquitous [12]. Typical SD-OCT images are shown in Fig. 9.1. The left
portion of each image, called en-face, depicts the infrared face-on view of retina,
while the dashed line on it indicates the vertical location of the OCT plane. The right
part depicts an OCT scan, consisting of retina (layered), including RPE (bright),
choroid (granular), and sclera (smooth), from top to bottom (from inner to outer
layer, physiologically), as labeled in the last image [13]. Usually, OCT is performed
at various (e.g., 97) vertical locations, and the ophthalmologist browses through OCT
K. K. Vupparaboina (B) · A. Richhariya · J. Chhablani
L V Prasad Eye Institute, Hyderabad, Telangana 500034, India
e-mail: kiran1559@gmail.com
K. K. Vupparaboina · S. Jana
Indian Institute of Technology, Hyderabad, Telangana 502285, India
© 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_9
211
Choroidal OCT Analytics
Kiran Kumar Vupparaboina, Ashutosh Richhariya,
Jay Chhablani and Soumya Jana
The advance in OCT imaging techniques allow visualization of the deeper structures
of the eye, including the choroid, the structural change of which is associated with
various diseases. In this chapter, methodologies are presented for automatic quantification of choroidal measurements such as thickness, volume and stromal-luminal
ratio, which are indicators crucial in disease diagnosis and treatment response monitoring.
9.1 Introduction
The choroid layer, sandwiched between the retinal pigment epithelium (RPE) and the
sclera, has complex vasculature, performs critical physiological functions [1–5], and
assumes crucial role in diagnosing various disease conditions. Such diseases include
age-related macular degeneration (AMD), central serous chorioretinopathy (CSC),
Vogt-Koyanagi-Harada syndrome, and choroiditis [6–10]. The advent of OCT has
lead to improved visualization of the choroid, and hence improved diagnosis [11].
Among various OCT technologies, the spectral domain OCT (SD-OCT) is perhaps
the most ubiquitous [12]. Typical SD-OCT images are shown in Fig. 9.1. The left
portion of each image, called en-face, depicts the infrared face-on view of retina,
while the dashed line on it indicates the vertical location of the OCT plane. The right
part depicts an OCT scan, consisting of retina (layered), including RPE (bright),
choroid (granular), and sclera (smooth), from top to bottom (from inner to outer
layer, physiologically), as labeled in the last image [13]. Usually, OCT is performed
at various (e.g., 97) vertical locations, and the ophthalmologist browses through OCT
K. K. Vupparaboina (B) · A. Richhariya · J. Chhablani
L V Prasad Eye Institute, Hyderabad, Telangana 500034, India
e-mail: kiran1559@gmail.com
K. K. Vupparaboina · S. Jana
Indian Institute of Technology, Hyderabad, Telangana 502285, India
© 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_9
211