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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F22%3A00360258" target="_blank" >RIV/68407700:21240/22:00360258 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21460/22:00360258

Výsledek na webu

<a href="https://doi.org/10.1007/978-3-031-17728-6_2" target="_blank" >https://doi.org/10.1007/978-3-031-17728-6_2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-17728-6_2" target="_blank" >10.1007/978-3-031-17728-6_2</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

30207 - Ophthalmology

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

Model-Driven Organizational and Business Agility

ISBN

978-3-031-17727-9

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

19-26

Název nakladatele

Springer, Cham

Místo vydání

—

Místo konání akce

Leuven

Datum konání akce

6. 6. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—