Analysis of Macular Thickness Deviation Maps for Diagnosis of Glaucoma

Bingnan Zhou, Farnaz Mohammadi, Jung S. Lim, Negin Forouzesh, Hassan Ghasemzadeh, Navid Amini

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

2 Scopus citations


There is a growing number of studies showing that analysis of macular parameters provides additional information about ganglion cell loss in glaucoma and compliments traditional markers of glaucoma. In this paper, we develop an image processing pipeline for the macular thickness deviation maps generated by Heidelberg Spectralis optical coherence tomography (OCT) to evaluate the information within the macular measurements for diagnosing glaucoma. Logistic regression is applied to analyze features extracted from the deviation maps and the strength of their relationship with the diagnosis of glaucoma. Our experimental results show that the proportion of regions with thickness significantly below the normative range in the nerve fiber layer thickness deviation maps can be used to detect glaucoma with an accuracy of up to 70.16%. Moreover, the ganglion cell layer deviation maps also possess significant diagnostic ability for detection of glaucoma, which can be combined with the traditional assessments of the optic nerve head and peripapillary retinal nerve fiber layer to improve the reliability of glaucoma diagnosis.

Original languageEnglish (US)
Title of host publicationAdvances in Visual Computing - 16th International Symposium, ISVC 2021, Proceedings
EditorsGeorge Bebis, Vassilis Athitsos, Tong Yan, Manfred Lau, Frederick Li, Conglei Shi, Xiaoru Yuan, Christos Mousas, Gerd Bruder
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages12
ISBN (Print)9783030904357
StatePublished - 2021
Event16th International Symposium on Visual Computing, ISVC 2021 - Virtual Online
Duration: Oct 4 2021Oct 6 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13018 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference16th International Symposium on Visual Computing, ISVC 2021
CityVirtual Online


  • Feature selection
  • Glaucoma
  • Logistic regression
  • Machine learning
  • Macula

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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