Loading patent…
AssigneeQinetiq Limited
InventorsMaria Petrou, Anastasios Kesidis, Margaret Varga, Paul Ducksbury
Estimating the term…
A method of histological assessment of nuclear pleomorphism to identify potential cell nuclei divides image data into overlapping sub-images. It uses principal component analysis to derive monochromatic image data, followed by Otsu thresholding to produce a binary image. It removes image regions at sub-image boundaries, unsuitably small image regions and holes in relatively large image regions. It then reassembles the resulting sub-images into a single image. Perimeters (P) and areas (A) of image regions which are potential cell nuclei are determined and used in calculating nuclear shape factors P2/A. Nuclear pleomorphism is assessed as relatively low, moderate or high according to whether predetermined shape factor thresholds indicate a mean cell nucleus shape factor for an image is relatively low, moderate or high.
A method of histological assessment of nuclear pleomorphism by identifying image regions potentially corresponding to cell nuclei in histological image data, the method including thresholding the image data to render it binary, determining perimeters and areas of identified image regions, calculating image region shape factors from the perimeters and areas and assessing pleomorphism from the shape factors' statistical parameters.
Apparatus for histological assessment of nuclear pleomorphism by identifying image regions potentially corresponding to cell nuclei in histological image data, the apparatus incorporating a computer programmed to threshold the image data to render it binary, determine perimeters and areas of identified image regions, calculate image region shape factors from the perimeters and areas and assess pleomorphism from the shape factors' statistical parameters.
Computer software for use in histological assessment of nuclear pleomorphism and having instructions for controlling a computer to identify image regions potentially corresponding to cell nuclei in histological image data, the software also having instructions for controlling a computer to threshold the image data to render it binary, determine perimeters and areas of identified image regions, calculating image region shape factors from the perimeters and areas and assess pleomorphism from the shape factors' statistical parameters.
Dependencies are inferred from the claim text.