title: An automated method for creating simulated distorted images in amblyopic vision.
abstract: Spatial distortions in amblyopic vision can be captured by subjective reports or by a point-by-point mapping of the central part of the visual field. In this study, we developed a series of algorithms that provide a fine-grain mapping of the amblyopic percept. These algorithms can be applied to any real-world image. The images created based on these algorithms can be compared with the subjective percept of each amblyope.
authors.affiliation: Department of Neurophysiology, Max Planck Institute for Brain Research, Johann Wolfgang Goethe University, Frankfurt, Germany.
authors.forename: Adrian
authors.initials: A
authors.lastname: Iftime
authors.forename: Claudia C
authors.initials: CC
authors.lastname: Bäumer
authors.forename: Ruxandra
authors.initials: R
authors.lastname: Sireteanu
mesh_terms: D000465:Algorithms; D000550:Amblyopia / Q000175:diagnosis* / Q000503:physiopathology / Q000523:psychology; D003198:Computer Simulation; D003941:Diagnostic Techniques, Ophthalmological / Q000295:instrumentation*; D006801:Humans; D010364:Pattern Recognition, Visual / Q000502:physiology*; D015203:Reproducibility of Results; D014794:Visual Fields