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Related Concept Videos

Computed Tomography01:10

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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.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Updated: Mar 28, 2026

Comparison of Agreement and Accuracy using Binocular Wavefront Optometer with Autorefractor and Phoropter
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Model-based sensor-less wavefront aberration correction in optical coherence tomography.

Hans R G W Verstraete, Sander Wahls, Jeroen Kalkman

    Optics Letters
    |December 17, 2015
    PubMed
    Summary
    This summary is machine-generated.

    Sensor-less wavefront aberration correction using optical coherence tomography (OCT) was optimized. A new DONE method significantly improved image quality and reduced measurements compared to traditional approaches.

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    Area of Science:

    • Biomedical Optics
    • Optical Engineering
    • Signal Processing

    Background:

    • Wavefront aberrations degrade optical coherence tomography (OCT) image quality.
    • Sensor-less correction methods aim to maximize the OCT signal for aberration correction.
    • Existing methods often require numerous measurements and may not be optimal.

    Purpose of the Study:

    • To compare sensor-less wavefront aberration correction methods in an OCT setup.
    • To evaluate a novel optimization algorithm (DONE) against a conventional method (NEWUOA).
    • To assess the effectiveness of these methods in improving OCT image quality.

    Main Methods:

    • Tested sensor-less wavefront aberration correction techniques on an OCT system.
    • Compared a conventional coordinate search method with two model-based optimization algorithms: NEWUOA (quadratic model) and DONE (random multidimensional Fourier-basis expansion).
    • Evaluated performance based on wavefront error and number of measurements required.

    Main Results:

    • Model-based algorithms achieved lower wavefront errors using up to ten times fewer measurements.
    • The proposed DONE method significantly outperformed the NEWUOA algorithm.
    • Application of the DONE algorithm to OCT images demonstrated substantially improved image quality.

    Conclusions:

    • Sensor-less wavefront aberration correction is crucial for enhancing OCT performance.
    • The novel DONE algorithm offers a significant advancement in efficiency and accuracy.
    • DONE shows great promise for improving OCT imaging in various applications.