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Proposal for Determining the Angular Position of Artificial Intraocular Lens in the Human Eye

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F22%3A00360148" target="_blank" >RIV/68407700:21240/22:00360148 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21460/22:00360148

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Proposal for Determining the Angular Position of Artificial Intraocular Lens in the Human Eye

  • Original language description

    Any clouding of the lens of the eye causing distortion of its transparency and scattering of transmitted light is called a cataract. The solution to this pathological condition affecting the quality of life is phacoemulsification of the cloudy contents of the human lens and its replacement with an artificial intraocular lens (IOL). The surgeon has the opportunity to influence the refractive state of the eye for optimal postoperative visual acuity by choosing an appropriate IOL. In addition, a certain group of patients has an ametropia called corneal astigmatism, which needs to be corrected with a so-called toric IOL, in which the key criterion for the success of the correction is its angular position in the capsular bag. Deviation from the intended angular position of the implanted lens can lead to refractive surprise, i.e. the patient's postoperative visual acuity does not reach 100% of its own potential. In clinical practice, however, there is no conventional technique or tool for retrospectively determining the postoperative angular position to the required 1° accuracy. Thus, the intent of this paper was to create a custom design for automating IOL detection using postoperative patient images from the Verion reference unit and a specific lens model, the SN6ATx. The problem addressed is the automation of finding the optical part of the intraocular artificial lens using machine vision technologies based on convolutional operations on the image. The study presents the actual approach and methodology of the self-developed solution.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    30207 - Ophthalmology

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů