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Updated: May 27, 2025

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Doppler Optical Coherence Tomography of Retinal Circulation
Published on: September 18, 2012
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Chromatic dispersion based axial length estimation using retinal spectral domain optical coherence tomography
Johannes Kübler1,2, Jörg P Fischer2, Johannes F de Boer1,3
1LaserLaB, Department of Physics and Astronomy, Vrije Universiteit, Amsterdam, The Netherlands.
Biomedical Optics Express
|February 17, 2025
Summary
We developed a new method to measure human eye axial length using spectral domain optical coherence tomography (SD-OCT) scans. This technique analyzes chromatic dispersion to accurately determine eye length from retinal images.
Area of Science:
- Ophthalmology
- Biomedical Optics
- Medical Imaging
Background:
- Accurate measurement of axial length is crucial for diagnosing and monitoring eye conditions.
- Spectral domain optical coherence tomography (SD-OCT) is a key imaging modality in ophthalmology.
- Chromatic dispersion in ocular tissues can affect imaging accuracy.
Purpose of the Study:
- To propose and validate a novel method for extracting human eye axial length from SD-OCT scans.
- To analyze the impact of chromatic dispersion on OCT measurements.
- To improve the accuracy of axial length measurements in vivo.
Main Methods:
- Developing a method to evaluate chromatic dispersion effects in the anterior segment and vitreous.
- Analyzing sub-spectral scans to quantify dispersion-induced axial shifts.
- Utilizing k-linearization and pixel-to-wavenumber calibration for accurate measurements.
- Validating the method with a model eye and in vivo retinal OCT scans.
Main Results:
- Demonstrated feasibility of the method using a model eye with adjustable parameters.
- Quantified axial shifts caused by chromatic dispersion in ocular media.
- Improved agreement with in vivo measurements by refining refractive index models for ocular tissues.
Conclusions:
- The proposed method enables accurate axial length extraction from SD-OCT scans by accounting for chromatic dispersion.
- Refining ocular tissue dispersion properties enhances the reliability of in vivo measurements.
- This technique holds potential for improved ophthalmic diagnostics and research.

