Abstract: The invention relates to a system of detecting vasculature in optical coherence tomography (OCT) image data of a tissue of a subject, the OCT image data comprising OCT scan data and OCT angiography (OCTA) scan data, the system comprises segmenting the OCT scan data to locate a layer of interest in the tissue; generating an en face vascular network map from the OCTA scan data; projecting one or more vascular regions from the en face vascular network map onto the layer of interest in a cross-sectional image of the OCT scan data to define one or more regions of interest (ROIs), wherein respective ROIs are defined by the intersection between the vascular regions and the layer of interest; and identifying vascular objects in the one or more ROIs. In the preferred embodiment, the tissue is retina, vessels are removed from the layer of interest and the retinal nerve fibre layer (RNFL) thickness is determined.

Abstract: Disclosed herein is a method of segmenting a volumetric image comprising a plurality of slices, the method comprising: inputting a target slice of the volumetric image to a deep neural network (DNN) having a multi-task learning architecture, the multi-task learning architecture comprising: a segmentation DNN that is configured to output a segmentation of the target slice; and a reconstruction DNN that is configured to: receive a plurality of adjacent slices to the target slice; and output a reconstruction of the target slice based on the plurality of adjacent slices; wherein the reconstruction DNN is further configured to share spatial information with the segmentation DNN, the spatial information being indicative of correlations between the adjacent slices and the target slice.

Abstract: 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.

Abstract: 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).

Abstract: 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.

Abstract: The present invention relates to a system for displaying a video image to a user having a visual impairment. The system comprises a video camera, a data storage device, a processor and an image display device for displaying processed images in a display region. The processor is operative to perform at least one of the operations of (i) including in the display region, a marker at a location offset from a centre of the display region, whereby if the user, who suffers from blurred vision at the centre of the user's visual field, looks at the marker, the user sees the captured image in focus; or (ii) deforming a portion of the captured image by a correction matrix, whereby, upon displaying the processed images by the display device, the correction matrix corrects a deformation in a corresponding portion of the visual field of the user due to the visual impairment.