×

Spiculated malignant mass detection and classification in radiographic image

  • US 8,923,594 B2
  • Filed: 04/29/2011
  • Issued: 12/30/2014
  • Est. Priority Date: 04/30/2010
  • Status: Active Grant
First Claim
Patent Images

1. A method for identifying spiculated anomalies in an image comprising pixels, the method comprising:

  • generating a bulge mask from a digital image, the bulge mask comprising potential convergence hubs for spiculated anomalies;

    detecting ridges in the digital image to generate a detected ridges map;

    projecting the detected ridges map onto a set of direction maps having different directional vectors to generate a set of ridge direction projection maps;

    determining wedge features for the potential convergence hubs from the set of ridge direction projection maps;

    selecting ridge convergence hubs from the potential convergence hubs having strongest wedge features;

    extracting classification features for each of the selected ridge convergence hubs; and

    classifying the selected ridge convergence hubs based on the extracted classification features,wherein projecting the detected ridges map onto the set of direction maps comprises;

    separating the detected ridges map into a line mask image, a row component image, and a column component image; and

    determining a dot product of the line mask image, the row component image, and the column component image with the directional vectors.

View all claims
  • 3 Assignments
Timeline View
Assignment View
    ×
    ×