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Related Concept Videos

Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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Imaging Biological Samples with Optical Microscopy

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Related Experiment Video

Updated: Jul 3, 2026

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography
07:23

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography

Published on: March 26, 2020

New algorithm to analyze optical coherence tomographic images quantitatively.

Kohei Ishikawa1, Yasuki Ito2, Ryuji Mizutani2

  • 1Department of Ophthalmology, Nagoya University Graduate School of Medicine, Nagoya, Japan. kohei@med.nagoya-u.ac.jp.

Japanese Journal of Ophthalmology
|July 29, 2008
PubMed
Summary

A new algorithm accurately measures retinal thickness on optical coherence tomography (OCT) images in normal retinas. However, the built-in OCT algorithm overestimated macular volume post-photodynamic therapy (PDT).

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Doppler Optical Coherence Tomography of Retinal Circulation
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Published on: September 18, 2012

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Optical coherence tomography (OCT) is crucial for retinal imaging.
  • Accurate measurement of retinal thickness and volume is essential for diagnosing and monitoring eye conditions.
  • Existing OCT algorithms may have limitations in specific clinical scenarios.

Purpose of the Study:

  • To validate a newly developed algorithm for measuring retinal thickness using OCT images.
  • To compare the performance of the new algorithm against the OCT instrument's built-in algorithm.
  • To assess the algorithms' accuracy in measuring macular volume before and after photodynamic therapy (PDT).

Main Methods:

  • Six radial linear OCT scans were performed on 50 normal eyes.
  • Retinal thickness and volume were measured using both the developed algorithm and the OCT's built-in algorithm.
  • Macular volume was measured in 26 eyes before and after PDT.

Main Results:

  • The developed algorithm showed strong correlation (R=0.99) and excellent agreement with the built-in algorithm for retinal thickness in normal retinas.
  • Bland-Altman plots confirmed high concordance between the two algorithms.
  • The built-in algorithm yielded significantly larger macular volume measurements than the developed algorithm both pre- and post-PDT.

Conclusions:

  • The developed algorithm provides a valid and reliable method for measuring retinal thickness in normal retinas.
  • Discrepancies in macular volume measurements between the algorithms were observed after PDT, suggesting potential limitations of the built-in algorithm in this context.