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Measurement of retinal blood flow precision in the human eye with multimodal adaptive optics imaging.
Raghavendra, Achyut J; Damani, Aashka; Oechsli, Saige; Magder, Laurence S; Liu, Zhuolin; Hammer, Daniel X; Saeedi, Osamah J.
Afiliação
  • Raghavendra AJ; Department of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA.
  • Damani A; Center for Devices and Radiological Health (CDRH), U. S. Food and Drug Administration (FDA), Silver Spring, Maryland 20993, USA.
  • Oechsli S; achyut.raghavendra@fda.hhs.gov.
  • Magder LS; Department of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA.
  • Liu Z; Department of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA.
  • Hammer DX; Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA.
  • Saeedi OJ; Center for Devices and Radiological Health (CDRH), U. S. Food and Drug Administration (FDA), Silver Spring, Maryland 20993, USA.
Biomed Opt Express ; 15(8): 4625-4641, 2024 Aug 01.
Article em En | MEDLINE | ID: mdl-39346998
ABSTRACT
Impaired retinal blood flow (RBF) autoregulation plays a key role in the development and progression of several ocular diseases, including glaucoma and diabetic retinopathy. Clinically, reproducible RBF quantitation could significantly improve early diagnosis and disease management. Several non-invasive techniques have been developed but are limited for retinal microvasculature flow measurements due to their low signal-to-noise ratio and poor lateral resolution. In this study, we demonstrate reproducible vessel caliber and retinal blood flow velocity measurements in healthy human volunteers using a high-resolution (spatial and temporal) multimodal adaptive optics system with scanning laser ophthalmoscopy and optical coherence tomography.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article