Automated choroidal segmentation in spectral optical coherence tomography images with geographic atrophy using multimodal complementary information

Zhihong Hu; Ziyuan Wang; SriniVas R. Sadda

doi:10.1117/1.JMI.6.2.024009

28 June 2019 Automated choroidal segmentation in spectral optical coherence tomography images with geographic atrophy using multimodal complementary information

Zhihong Hu, Ziyuan Wang, SriniVas R. Sadda

Author Affiliations +

Journal of Medical Imaging, Vol. 6, Issue 2, 024009 (June 2019). https://doi.org/10.1117/1.JMI.6.2.024009

Abstract

Changes in the choroid have been suggested to be of critical relevance to some eye diseases, e.g., geographic atrophy (GA) of age-related macular degeneration (AMD). Several groups have worked to develop automated choroidal segmentation algorithms in optical coherence tomography (OCT) images. However, the reported algorithms mainly focus on OCT images with early AMD (or eye diseases with mild/moderate retinal damage). GA, an advanced stage of AMD, frequently presents severe retinal damage and those algorithms may be confounded by the zones of increased choroidal reflectivity due to GA damage. The fundus autofluorescence (FAF) signal from GA regions is more distinguishable and detectable than on OCT images. We propose to use a three-dimensional (3-D) graph-based approach with the complementary information from the companion FAF images to handle the 3-D choroidal segmentation difficulty due to GA. We compare the automated approaches with and without using the FAF-derived GA information against the ground truth. With the FAF-derived information, the segmentation performance regarding both choroidal borders is significantly improved (all p < 0.01). The robustness of our segmentation approach may be of great value for future large-scale quantitative and longitudinal studies of the choroid, particularly in the setting of atrophic AMD.

Citation Download Citation

Zhihong Hu, Ziyuan Wang, and SriniVas R. Sadda "Automated choroidal segmentation in spectral optical coherence tomography images with geographic atrophy using multimodal complementary information," Journal of Medical Imaging 6(2), 024009 (28 June 2019). https://doi.org/10.1117/1.JMI.6.2.024009

Received: 18 October 2018; Accepted: 4 June 2019; Published: 28 June 2019

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available