ArticleAnnals of translational medicine2020
Optical coherence tomography-based deep learning algorithm for quantification of the location of the intraocular lens.
Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Research progress on prediction of postoperative intraocular lens position.Indian journal of ophthalmology · 2024Article
- Advances in artificial intelligence models and algorithms in the field of optometry.Frontiers in cell and developmental biology · 2023Review
- Anterior Chamber Angle Assessment Techniques: A Review.Journal of clinical medicine · 2020Review
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5 authors.
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Abstract
backgroundCataract surgery has been recently developed from sight rehabilitating surgery to accurate refractive surgery. The precise concentration of intraocular lens (IOL) is crucial for postoperative high visual quanlity. The three-dimentional (3D) images of ocular anterior segment captured by optial coherence tomography (OCT) make it possible to evaluate the IOL position in 3D space, which provide insights into factors relavant to the visual quanlity and better design of new functional IOL. The deep learning algorithm potentially quantify the IOL position in an objective and efficient way.
methodsThe region-based fully convolutional network (R-FCN) was used to recogonize and delineate the IOL configuration in 3D OCT images. Scleral spur was identified automatically. Then the tilt angle of the IOL relative to the scleral spur plane along with its decentration with respect to the pupil were calculated. Repeatability and reliability of the method was evaluated by the intraclass correlation coefficient.
resultsAfter improvement, the R-FCN network recognition efficiency of IOL configuration reached 0.910. The ICC of reliability and repeatability of the method is 0.867 and 0.901. The average tilt angle of the IOL relative to scleral spur is located in 1.65±1.00 degrees. The offsets dx and dy occurring in the early X and Y directions of the IOL are 0.29±0.22 and 0.33±0.24 mm, respectively. The IOL offset distance is 0.44±0.33 mm.
conclusionsWe proposed a practical method to quantify the IOL postion in 3D space based on OCT images and assisted by an algorithm.
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