Fast 3-dimensional estimation of the Foveal Avascular Zone from OCTA

Giovanni Ometto, Giovanni Montesano, Usha Chakravarthy, Frank Kee, Ruth E. Hogg, David P. Crabb

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The area of the foveal avascular zone (FAZ) from en face images of optical coherence tomography angiography (OCTA) is one of the most common measurement based on this technology. However, its use in clinic is limited by the high variation of the FAZ area across normal subjects, while the calculation of the volumetric measurement of the FAZ is limited by the high noise that characterizes OCTA scans. We designed an algorithm that exploits the higher signal-to-noise ratio of en face images to efficiently identify the capillary network of the inner retina in 3-dimensions (3D), under the assumption that the capillaries in separate plexuses do not overlap. The network is then processed with morphological operations to identify the 3D FAZ within the bounding segmentations of the inner retina. The FAZ volume and area in different plexuses were calculated for a dataset of 430 eyes. Then, the measurements were analyzed using linear mixed effect models to identify differences between three groups of eyes: healthy, diabetic without diabetic retinopathy (DR) and diabetic with DR. Results showed significant differences in the FAZ volume between the different groups but not in the area measurements. These results suggest that volumetric FAZ could be a better diagnostic detector than the planar FAZ. The efficient methodology that we introduced could allow the fast calculation of the FAZ volume in clinics, as well as providing the 3D segmentation of the capillary network of the inner retina.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728195391
ISBN (Print)9781728195407
DOIs
Publication statusPublished - 28 Jun 2021
EventIEEE International Instrumentation and Measurement Technology Conference 2021 - Virtual, Glasgow, United Kingdom
Duration: 17 May 202120 May 2021

Publication series

NameIEEE I2MTC Proceedings
ISSN (Print)2642-2069
ISSN (Electronic)2642-2077

Conference

ConferenceIEEE International Instrumentation and Measurement Technology Conference 2021
Abbreviated titleI2MTC 2021
Country/TerritoryUnited Kingdom
CityVirtual, Glasgow
Period17/05/202120/05/2021

Keywords

  • foveal avascular zone
  • optical coherence tomography angiography
  • volumetric image segmentation

ASJC Scopus subject areas

  • Instrumentation

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