Discriminatively weighted multi-scale local binary patterns

US9177104B2 · kind B2 · utility

Inventors

• Anant Madabhushi · Beachwood, US
• Haibo Wang · Shanghai, CN

Key dates

• Filing date: Mar 26, 2014
• Grant date: Nov 3, 2015
• Expiry date: May 8, 2034

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/30081
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Apparatus and methods associated with detecting prostate cancer (CaP) in a magnetic resonance (MR) image of a prostate of a CaP patient are described. One example apparatus includes logics that acquire an image of a prostate, learn a weighted vector, detect salient features in the image of the prostate, and generate a heatmap that facilitates detecting CaP. An image acquisition logic acquires a T2 weighted MR image of a prostate. A learning logic learns a weighted vector based on a set of positive LBP descriptors and a set of negative LBP descriptors extracted from the image at multiple scales. A salient feature detection logic detects salient features in the image based on the weighted vector and a pixel-by-pixel weighted Hamming matching of the image. A prediction logic generates a statistical probability heatmap based on the weighted vector and the weighted Hamming matching of the image.