Deep learning segmentation of periarterial and perivenous capillary-free zones in optical coherence tomography angiography.

Journal: Journal of biomedical optics
PMID: 40342523

Abstract

SIGNIFICANCE: Automated segmentation of periarterial and perivenous capillary-free zones (CFZs) in optical coherence tomography angiography (OCTA) can significantly improve early detection and monitoring of diabetic retinopathy (DR), a leading cause of vision impairment, by identifying subtle microvascular changes.

Authors

  • Mansour Abtahi
    Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA.
  • Behrouz Ebrahimi
    Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL 60607, USA.
  • Albert K Dadzie
    Department of Biomedical Engineering, University of Illinois Chicago, Chicago, IL, 60607, USA.
  • Mojtaba Rahimi
    University of Illinois, Chicago, Department of Biomedical Engineering, Chicago, Illinois, United States.
  • Srishti Kolla
    University of Illinois Chicago, Department of Ophthalmology and Visual Sciences, Chicago, Illinois, United States.
  • Yi-Ting Hsieh
    Department of Ophthalmology, National Taiwan University Hospital, Taipei, Taiwan.
  • Michael J Heiferman
    Department of Ophthalmology and Visual Sciences, University of Illinois Chicago, Chicago, IL, 60612, USA. mheif@uic.edu.
  • Jennifer I Lim
    Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, IL 60612, USA.
  • Xincheng Yao
    Department of Bioengineering, 14681University of Illinois at Chicago, Chicago, IL 60607, USA.

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