Algorithms for automated oximetry along the retinal vascular tree from dual-wavelength fundus images

Harihar Narasimha-Iyer; James M. Beach; Bahram Khoobehi; Jinfeng Ning; Hiroyuki Kawano; Badrinath Roysam

doi:10.1117/1.2113187

1 September 2005 Algorithms for automated oximetry along the retinal vascular tree from dual-wavelength fundus images

Harihar Narasimha-Iyer, James M. Beach, Bahram Khoobehi, Jinfeng Ning, Hiroyuki Kawano, Badrinath Roysam

Author Affiliations +

Journal of Biomedical Optics, Vol. 10, Issue 5, 054013 (September 2005). https://doi.org/10.1117/1.2113187

Abstract

We present an automated method to perform accurate, rapid, and objective measurement of the blood oxygen saturation over each segment of the retinal vascular hierarchy from dual-wavelength fundus images. Its speed and automation (2 s per entire image versus 20 s per segment for manual methods) enables detailed level-by-level measurements over wider areas. An automated tracing algorithm is used to estimate vessel centerlines, thickness, directions, and locations of landmarks such as bifurcations and crossover points. The hierarchical structure of the vascular network is recovered from the trace fragments and landmarks by a novel algorithm. Optical densities (OD) are measured from vascular segments using the minimum reflected intensities inside and outside the vessel. The OD ratio (ODR=OD₆₀₀/OD₅₇₀) bears an inverse relationship to systemic HbO₂ saturation (SO₂). The sensitivity for detecting saturation change when breathing air versus pure oxygen was calculated from the measurements made on six subjects and was found to be 0.0226 ODR units, which is in good agreement with previous manual measurements by the dual-wavelength technique, indicating the validity of the automation. A fully automated system for retinal vessel oximetry would prove useful to achieve early assessments of risk for progression of disease conditions associated with oxygen utilization.

©(2005) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Harihar Narasimha-Iyer, James M. Beach, Bahram Khoobehi, Jinfeng Ning, Hiroyuki Kawano, and Badrinath Roysam "Algorithms for automated oximetry along the retinal vascular tree from dual-wavelength fundus images," Journal of Biomedical Optics 10(5), 054013 (1 September 2005). https://doi.org/10.1117/1.2113187

Published: 1 September 2005

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Cited by 21 scholarly publications and 4 patents.

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KEYWORDS

Image segmentation

Oxygen

Arteries

Veins

Oximetry

Image processing algorithms and systems

Blood

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