Classification of biological tissue by multi-mode data registration, segmentation and characterization

US9235887B2 · kind B2 · utility

Assignees

• ELUCID BIOIMAGING INC. · US
• Rutgers, the State University of New Jersey · US
• TRUSTEES OF BOSTON UNIVERSITY · US
• The Trustees of the University of Pennsylvania · US

Inventors

• Andrew J. Buckler · Boston, US
• Anant Madabhushi · Beachwood, US
• James Steve Hamilton · Littleton, US
• Shannon Agner · Ventnor City, US
• Mark Andrew Rosen · Piedmont, US

Key dates

• Filing date: Jan 2, 2013
• Grant date: Jan 12, 2016
• Expiry date: Jan 2, 2033

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/30068
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A method and apparatus for classifying possibly vulnerable plaques from sets of DCE-MRI images includes receiving a set of MRI slice images obtained at respectively different times, where each slice image includes voxels representative of at least one region of interest (ROI). The images are processed to determine the boundaries of the ROIs and the voxels within the identified boundaries in corresponding regions of the images from each time period are processed to extract kinetic texture features. The kinetic texture features are then used in a classification process which classifies the ROIs as vulnerable or stable.