title: Image processing system for ultrasound images of the eye.
abstract: Closed Angle Glaucoma causes an increase in fluid pressure in the eye due to decreased fluid flow between the iris and the cornea. To diagnose Glaucoma, ultrasound images of the eye are taken and a technician studies the images and takes measurements. This process is time consuming, and results vary among technicians. In a previous paper, we developed an image processing algorithm to extract several key landmark features in the iris. In this paper, we extend this algorithm to calculate the complete set of diagnostic parameters from ultrasound biomicroscopy. A robust algorithm is described to calculate the parameters which describe the thickness of iris; ID1, ID2, and ID3. The method is tested on 89 clinical images and compared to the values identified by the technician. Results indicate good agreement in 97% of cases.
authors.affiliation: Department of Systems and Computer Engineering, Carleton University, Ontario, Canada.
authors.forename: M Lepine
authors.initials: ML
authors.lastname: Shaw
authors.forename: H
authors.initials: H
authors.lastname: Hannoon
authors.forename: R
authors.initials: R
authors.lastname: Youmaran
authors.forename: A
authors.initials: A
authors.lastname: Adler
mesh_terms: D000465:Algorithms; D005123:Eye / Q000000981:diagnostic imaging*; D015812:Glaucoma, Angle-Closure / Q000000981:diagnostic imaging*; D006801:Humans; D007429:Intraocular Pressure; D007498:Iris / Q000000981:diagnostic imaging; D033401:Microscopy, Acoustic / Q000379:methods*; D010363:Pattern Recognition, Automated