Singapore Health Services Pte Ltd

Agency for Science, Technology and Research

Nanyang Technological University

Tan Tock Seng Hospital Pte Ltd

Baskaran Mani

Tin Aung

Jiang Liu

Wing Kee Damon Wong

Beng Hai Lee

Tien Yin Wong

Ngan Meng Tan

Zhuo Zhang

Jun Cheng

Fengshou Yin

Yanwu Xu

Joo Hwee Lim

Huiqi Li

Carol Cheung

Ziyang Liang

Pina Marziliano

Xinting Gao

Shamira Asith Perera

Murukeshan Vadakke Matham

Jing Tian

Ching-Yu Cheng

Yim-lui Carol Cheung

Shinoj Vengalathunadakal Kuttinarayanan

Hon-Tym Wong

Xiangang Cheng

A probe for iridocorneal angle imaging of an eye, the probe comprising: a distal end having a corneal contact surface; a camera having an imaging lens at the distal end and an imaging axis orthogonal to the corneal contact surface; and at least two illumination sources, each illumination source having an illumination axis at an angle to the corneal contact surface such that the imaging axis and the illumination axes converge in the eye.

Probe for iridocorneal angle imaging

A method is proposed for automatically locating the optic disc or the optic cup in an image of the rear of an eye. A portion of the image containing the optic disc or optic cup is divided into sub-regions using a clustering algorithm. Biologically inspired features, and optionally other features, are obtained for each of the sub-regions. An adaptive model uses the features to generate data indicative of whether each sub-region is within or outside the optic disc or optic cup. The result is then smoothed, to form an estimate of the position of the optic disc or optic cup.

Methods and systems for automatic location of optic structures in an image of an eye, and for automatic retina cup-to-disc ratio computation

A method is proposed for analyzing an optical coherence tomography (OCT) image of the anterior segment (AS) of a subject's eye. A region of interest is defined which is a region of the image containing the junction of the cornea and iris, and an estimated position the junction within the region of interest is derived. Using this a second region of the image is obtained, which is a part of the image containing the estimated position of the junction. Features of the second region are obtained, and those features are input to an adaptive model to generate data characterizing the junction.

Methods and systems for characterizing angle closure glaucoma for risk assessment or screening

A non-stereo fundus image is used to obtain a plurality of glaucoma indicators. Additionally, genome data for the subject is used to obtain genetic marker data relating to one or more genes and/or SNPs associated with glaucoma. The glaucoma indicators and genetic marker data are input into an adaptive model operative to generate an output indicative of a risk of glaucoma in the subject. In combination, the genetic indicators and genome data are more informative about the risk of glaucoma than either of the two in isolation. The adaptive model may be a two-stage model, having a first stage in which individual genetic indicators are combined with respective portions of the genome data by first adaptive model modules to form respective first outputs, and a second stage in which the first outputs are combined by a second adaptive mode. Texture analysis is performed on the fundus images to classify them based on their quality, and only images which are determined to meet a quality criterion are subjected to an analysis to determine if they exhibit glaucoma indicators. Also, the images are put into a standard format. The system may include estimating the position of the optic cup by combining results from multiple optic cup segmentation techniques. The system may include estimating the position of the optic disc by applying edge detection to the funds image, excluding edge points that are unlikely to be optic disc boundary points, and estimating the position of an optic disc by fitting an ellipse to the remaining edge points.

Obtaining data for automatic glaucoma screening, and screening and diagnostic techniques and systems using the data

An optical coherence tomography (OCT) image of the anterior chamber of an eye is processed to determine automatically a location in the image corresponding to Schwalbe's line. First, the method finds the location of the corneal endothelium. Then the method fits a model to the detected corneal endothelium. Then the method determines the location of Schwalbe's line based on the relationship between the detected corneal endothelium and the fitted model, such as where the detected corneal endothelium diverges most from the fitted model. The Schwalbe's line is used to obtain a numerical measure of the anterior chamber angle of the eye. The method can be used in a process for screening patients for glaucoma. In the case of patients found to be suffering from glaucoma, treatment can be performed.

Methods and systems for processing images of the anterior chamber angle of an eye

Growing community of inventors

Singapore, Singapore

Baskaran Mani