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Title: Method and apparatus for detecting a desired behavior in digital image data

Abstract

A method for detecting stellate lesions in digitized mammographic image data includes the steps of prestoring a plurality of reference images, calculating a plurality of features for each of the pixels of the reference images, and creating a binary decision tree from features of randomly sampled pixels from each of the reference images. Once the binary decision tree has been created, a plurality of features, preferably including an ALOE feature (analysis of local oriented edges), are calculated for each of the pixels of the digitized mammographic data. Each of these plurality of features of each pixel are input into the binary decision tree and a probability is determined, for each of the pixels, corresponding to the likelihood of the presence of a stellate lesion, to create a probability image. Finally, the probability image is spatially filtered to enforce local consensus among neighboring pixels and the spatially filtered image is output.

Inventors:
 [1]
  1. (11755 Shadow Dr., Dublin, CA 94568)
Issue Date:
Research Org.:
Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
OSTI Identifier:
871124
Patent Number(s):
5661820
Assignee:
Kegelmeyer, Jr., W. Philip (11755 Shadow Dr., Dublin, CA 94568)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06N - COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
G - PHYSICS G06 - COMPUTING G06K - RECOGNITION OF DATA
DOE Contract Number:  
AC04-76
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
method; apparatus; detecting; desired; behavior; digital; image; data; stellate; lesions; digitized; mammographic; steps; prestoring; plurality; reference; images; calculating; features; pixels; creating; binary; decision; tree; randomly; sampled; created; preferably; including; aloe; feature; analysis; local; oriented; edges; calculated; pixel; input; probability; determined; corresponding; likelihood; presence; lesion; create; finally; spatially; filtered; enforce; consensus; neighboring; output; reference image; reference images; image data; digital image; spatially filtered; digitized mammographic; preferably including; stellate lesion; stellate lesions; desired behavior; detecting stellate; mammographic image; /382/

Citation Formats

Kegelmeyer, Jr., W. Philip. Method and apparatus for detecting a desired behavior in digital image data. United States: N. p., 1997. Web.
Kegelmeyer, Jr., W. Philip. Method and apparatus for detecting a desired behavior in digital image data. United States.
Kegelmeyer, Jr., W. Philip. Wed . "Method and apparatus for detecting a desired behavior in digital image data". United States. https://www.osti.gov/servlets/purl/871124.
@article{osti_871124,
title = {Method and apparatus for detecting a desired behavior in digital image data},
author = {Kegelmeyer, Jr., W. Philip},
abstractNote = {A method for detecting stellate lesions in digitized mammographic image data includes the steps of prestoring a plurality of reference images, calculating a plurality of features for each of the pixels of the reference images, and creating a binary decision tree from features of randomly sampled pixels from each of the reference images. Once the binary decision tree has been created, a plurality of features, preferably including an ALOE feature (analysis of local oriented edges), are calculated for each of the pixels of the digitized mammographic data. Each of these plurality of features of each pixel are input into the binary decision tree and a probability is determined, for each of the pixels, corresponding to the likelihood of the presence of a stellate lesion, to create a probability image. Finally, the probability image is spatially filtered to enforce local consensus among neighboring pixels and the spatially filtered image is output.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1997},
month = {1}
}

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