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Multifocal intraocular lens providing optimized through-focus performance.

David Fernández, Sergio Barbero, Carlos Dorronsoro

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    This study introduces a novel method for designing multifocal intraocular lenses (MIOLs) by directly optimizing surface geometry. The new MIOL design offers excellent visual quality across various distances and pupil sizes.

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    Area of Science:

    • Ophthalmic optics
    • Biomedical engineering
    • Optical design

    Background:

    • Multifocal intraocular lenses (MIOLs) commonly use spherical aberration to enhance depth of focus.
    • Current methods linking wavefront aberration to MIOL geometry are indirect.
    • Designing effective MIOLs requires precise control over lens surface characteristics.

    Purpose of the Study:

    • To present a new strategy for designing MIOLs by directly optimizing surface geometries.
    • To develop a method that overcomes the limitations of indirect geometry derivation.
    • To create MIOLs with predictable and high optical performance.

    Main Methods:

    • Direct optimization of intraocular lens (IOL) surface geometries using aspheres with high-order coefficients.
    • Utilized a multisurface pseudophakic eye model and a multiconfiguration approach.
    • Employed a merit function that jointly evaluates optical quality at multiple object distances.

    Main Results:

    • A 22-diopter MIOL was designed, maintaining an ocular modulation transfer function (MTF) above 0.47 at 50 cycles/mm for all object locations.
    • The designed MIOL demonstrated high optical quality for far and intermediate vision, with peak performance at near distances (MTF > 0.57).
    • The design exhibited robust performance across a 3-5 mm pupil diameter range and maintained multifocal performance in approximately 40% of simulated patients with typical corneal aberrations.

    Conclusions:

    • The direct surface geometry optimization strategy provides a viable method for designing advanced MIOLs.
    • The designed MIOL offers excellent visual performance across a range of distances and conditions.
    • This approach holds promise for creating customized MIOLs with improved patient outcomes.