X-ray or gamma ray systems or devices – Specific application – Mammography
Patent
1996-12-02
1998-06-16
Porta, David P.
X-ray or gamma ray systems or devices
Specific application
Mammography
378 62, A61B 600
Patent
active
057683336
ABSTRACT:
A computer-implemented method of identifying suspect masses in digital radiologic images and a system for computer-aided diagnosis of such images in which the images are thresholded at a large number of threshold levels to discriminate spots and a two stage classifier is applied to the spots. The first classification stage applies multiple rules predetermined from a training set of images, to a relatively computationally inexpensive set of initial features, namely area, compactness, eccentricity, contrast, and intensity variance for each spot. More computationally expensive features, namely edge orientation distribution and texture features, are computed only for spots that are accepted by the first classification stage to points for these spots in an expanded feature space. In the second classification stage, these points are classified as true positives or false positives in dependence on which mean of a plurality of clusters of true positives and a plurality of clusters of false positives, predetermined from the training set, is nearest in Mahalanobis distance.
REFERENCES:
patent: 4236078 (1980-11-01), Kotera et al.
patent: 5289374 (1994-02-01), Doi et al.
patent: 5365429 (1994-11-01), Carman
patent: 5537485 (1996-07-01), Nishikawa et al.
patent: 5572565 (1996-11-01), Abdel-Mottaleb
patent: 5579360 (1996-11-01), Abdel-Mottaleb
patent: 5615243 (1997-03-01), Chang et al.
"Evaluation of Stellate Lesion Detection in a Standard Mammogram Data Set", W. Philip Kegelmeyer Jr., Sandia National Laboratories, International Journal of Pattern Recognition and Artificial Intelligence vol. 7, No. 6 (1993) 1477-1492.
"Computer-Aided Classification of Mammographic Masses and Normal Tissue: Linear Discriminant Analysis in Texture Feature Space", Phys. Med. Biol. 40 (1995) 857-876, U.K.
"Algorithms for Graphics and Image Processing", Theo Pavlidis, Bell Laboratories, Computer Science Press, 1982, pp. 116-120.
"Clustering Algorithms", John A. Hartigan, Department of Statistics Yale University, John Wiley & Sons, 1975, pp. 84-111.
"Computerized Detection of Clustered Microcalcifications in Digital Mammograms using a Shift-Invariant Artificial Neural Network", Wei Zhang, Kunio Doi, Maryellen L. Giger, Yuzheng Wu, Robert M. Nishikawa, and Robert A. Schmidt, Med. Phys. 21 (4) Apr. 1994, pp. 517-523.
"Textured Image Segmentation", by Kenneth Ivan Laws, Jan. 1980, Engineering IPI (Image Processing Institute), USCIPI Report 940.
Bruce David Vernon
Philips Electronics N.A. Corporation
Porta David P.
Slobod Jack D.
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