公开(公告)号：CA2188394A1

公开(公告)日：1996-08-29

申请号：CA2188394

申请日：1996-02-23

Applicant: ARCH DEV CORP OF THE UNIVERSIT

Inventor： GIGER MARYLENN L ,  ZHANG MING ,  LU PING

IPC: A61B6/00 ,  G06F19/00 ,  G06T1/00 ,  G06T5/00 ,  G06T7/00

Abstract: A method and system for automated detection of lesions such as masses and/or parenchymal distortions in medical images such as mammograms. Dense regions and subcutaneous fat regions (102) within a mammogram (100) are segmented (101). A background correction may be performed within the dense regions. Hough spectrum within ROIs (104) placed in the breast region of a mammogram (100) are calculated and thresholded (106) using the intensity value in order to increase sensitivity and reduce the number of false-positive detections. Lesions are detected based on the thresholded Hough spectra. The thresholded Hough spectra are also used to differentiate between benign and malignant masses.

公开(公告)号：CA2177472A1

公开(公告)日：1995-06-01

申请号：CA2177472

申请日：1994-11-29

Applicant: ARCH DEV CORP

Inventor： GIGER MARYELLEN L ,  DOI KUNIO ,  LU PING ,  HUO ZHIMIN

IPC: A61B6/00 ,  G06K9/00 ,  G06T1/00 ,  G06T7/00 ,  A61B6/03

Abstract: A method and system for automated detection and classification of masses in mammograms. This method and system include the performance of iterative, multi-level gray level thresholding (202), followed by lesion extraction (203) and feature extraction techniques (205) for classifying true masses from false-postive masses and malignant masses from benign masses. The method and system provide improvements in the detection of masses including multi-gray-level thresholding (202) of the processed images to increase sensitivity and accurate region growing and feature analysis to increase specificity. Novel improvements in the classification of masses include a cumulative edge gradient orientation histogram analysis relative to the radial angle of the pixels in question; i.e either around the margin of the mass or within or around the mass in question. The classification of the mass leads to a likelihood malignancy.