Posters

Computer programmes for the detection of IOL stiffness and stability in cataract surgery

Poster Details

First Author: E.Friedmann GERMANY

Co Author(s):    S. Doersam   L. Kuppel   P. Merz   Q. Wang   G. Auffarth        

Abstract Details

Purpose:

The IOL implantation into the capsular bag can cause a severe stress leading to damages of the structures within the anterior chamber or an IOL design can not be suitable for a specific pathology. We develop computer programs in the field of cataract–intraocular lens (IOL) implantation surgery for automated quantification of different characteristic sizes from the implantation process or the postoperative behavior (stiffness and stability). With the developed tools we aim in finding an optimal IOL for each pathology. Our tool also automates standardized manual processes and is used as support for clinical trials.

Setting:

Department of Applied Mathematics, Department of Ophthalmology, David J. Apple International Laboratory for Ocular Pathology, Heidelberg University

Methods:

We develop C ++ programs that recognize certain characteristics of slit lamp and pentacam images or of recorded videos  during implantation on an autopsy eye using image processing methods. These characteristics are used by means of mathematical formulas (angle and distance calculations, center point determination, deformation) to calculate specific quantities to determine the postoperative position of the IOL or to detect the deformation of the capsular bag during the implantation process.

Results:

The postoperative stability of an artificial IOL was successfully demonstrated by means of 6000 images on the basis of outputs like IOL-decentration, -rotation and -inclination, distance between iris and IOL, subjective refraction and BCVA distance. In the case of the detection of the stiffness of the IOL we obtain statistics such as relative deformation of the capsular bag, maximum and average deformations with confidence interval as well as steady state value to compare the final stress that  the IOLs exert on the capsular bag.

Conclusions:

The developed automated tools show a significant time saving in comparison with the amount of manual hand work which would be necessary and provide quantitative information for each IOL design. Furthermore, the program for the detection of the stiffness of the IOL can be used as teaching tool for young physicians. This is due to the recording and quantification of each hand movement which can be analyzed and discussed in teaching courses thereafter.

Financial Disclosure:

None