Modeling Longitudinal Optical Coherence Tomography Images for Monitoring and Analysis of Glaucoma Progression

James Fishbaugh, Ronald Zambrano, Joel S. Schuman, Gadi Wollstein, Jared Vicory, Beatriz Paniagua

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


Glaucoma causes progressive visual field deterioration and is the leading cause of blindness worldwide. Glaucomatous damage is irreversible and greatly impacts quality of life. Therefore, it is critically important to detect glaucoma early and closely monitor progression to preserve functional vision. Glaucoma is routinely monitored in the clinical setting using optical coherence tomography (OCT) for derived measures such as the thickness of important visual structures. There is not a consensus of what measures represent the most relevant biomarkers of glaucoma progression. Further, despite the increasing availability of longitudinal OCT data, a quantitative model of 3D structural change over time associated with glaucoma does not exist. In this paper we present an algorithm that will perform hierarchical geodesic modeling at the imaging level, considering 3D OCT images as observations of structural change over time. Hierarchical modeling includes subject-wise trajectories as geodesics in the space of diffeomorphisms and population level (glaucoma vs control) trajectories are also geodesics which explain subject-wise trajectories as deviations from the mean. Our preliminary experiments demonstrate a greater magnitude of structural change associated with glaucoma compared to normal aging. Our algorithm has the potential application in patient-specific monitoring and analysis of glaucoma progression as well as a statistical model of population trends and population variability.

Original languageEnglish (US)
Title of host publicationShape in Medical Imaging - International Workshop, ShapeMI 2023, Held in Conjunction with MICCAI 2023, Proceedings
EditorsChristian Wachinger, Beatriz Paniagua, Shireen Elhabian, Jianning Li, Jan Egger
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages12
ISBN (Print)9783031469138
StatePublished - 2023
EventInternational Workshop on Shape in Medical Imaging, ShapeMI 2023 - Vancouver, Canada
Duration: Oct 8 2023Oct 8 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14350 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Workshop on Shape in Medical Imaging, ShapeMI 2023


  • diffeomorphic regression
  • glaucoma progression
  • hierarchical modeling
  • longitudinal shape analysis
  • optical coherence tomography

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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