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Related Experiment Video

Updated: May 11, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

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Fractioned-pattern radiation mapping, Part I: modeling.

Juan Camilo Valencia Estrada, Jorge Garcia-Marquez, Romain Etienne

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |June 10, 2024
    PubMed
    Summary
    This summary is machine-generated.

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    This study introduces a novel technique for predicting radiation distribution in optical systems by fractioning emitting source power among rays. This method accurately calculates irradiance and aids in designing various optical systems.

    Area of Science:

    • Optical Engineering
    • Radiometry
    • Computational Optics

    Background:

    • Accurate prediction of radiation distribution is crucial for optical system design.
    • Existing methods may have limitations in handling complex optical paths and power losses.

    Purpose of the Study:

    • To present a new technique for predicting radiation distribution in any optical system.
    • To enable accurate irradiance calculations by considering power losses along optical paths.

    Main Methods:

    • Decomposing emitting source power into fractions assigned to individual rays.
    • Considering all types of power losses within the rays' optical paths.
    • Creating fractioned radiation patterns on the final optical surface for each ray.

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    Main Results:

    • Fractioned radiation patterns are generated, each representing a portion of the total radiation.
    • The total irradiance is calculated by summing the fractioned radiation maps.
    • The method is demonstrated to be non-zero étendue.

    Conclusions:

    • The presented technique accurately predicts radiation patterns in optical systems.
    • This method simplifies the design of both image-forming and non-image-forming optical systems.
    • It offers a computationally efficient approach using a limited set of equations.