Agency for Science, Technology and Research

National Skin Centre (singapore) Pte Ltd

Ai Ping Yow

Jiang Liu

Wing Kee Damon Wong

Beng Hai Lee

Zhuo Zhang

Jun Cheng

Fengshou Yin

Hong Liang Tey

Ruchir Srivastava

Ying Quan

Carolin Wall

Kavitha Gopalakrishnan

Annan Li

The present disclosure generally relates to an automated method and system for generating a three-dimensional (3D) representation of a skin structure of a subject. The method comprises: acquiring a plurality of two-dimensional (2D) cross-sectional images of the skin structure, specifically, using optical coherence tomography (OCT) technique; computing a cost for each 2D cross-sectional image based on a cost function, the cost function comprising an edge-based parameter and a non-edge-based parameter; constructing a 3D graph from the 2D cross-sectional images; and determining a minimum-cost closed set from the 3D graph based on the computed costs for the 2D cross-sectional images, wherein the 3D representation of the skin structure is generated from the minimum-cost closed set.

Three-dimensional representation of skin structure

A method of assessing the quality of an retinal image (such as a fundus image) includes selecting at least one region of interest within a retinal image corresponding to a particular structure of the eye (e.g. the optic disc or the macula), and a quality score is calculated in respect of the, or each, region-of-interest. Each region of interest is typically one associated with pathology, as the optic disc and the macula are. Optionally, a quality score may be calculated also in respect of the eye as a whole (i.e. over the entire image, if the entire image corresponds to the retina).

Methods and systems for assessing retinal images, and obtaining information from retinal images

Growing community of inventors

Singapore, Singapore

Ai Ping Yow