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1.发明公开AUTOMATED METHOD AND SYSTEM FOR IMPROVED COMPUTERIZED DETECTION AND CLASSIFICATION OF MASSES IN MAMMOGRAMS 失效FOR乳房X线照片改进计算机化的检测和分类大众的自动方法和系统
公开(公告)号：EP0731952A4
公开(公告)日：1997-01-22
申请号：EP95903554
申请日：1994-11-29
Applicant: ARCH DEV CORP
Inventor： GIGER MARYELLEN L , DOI KUNIO , LU PING , HUO ZHIMIN
CPC classification number: G06K9/00127 , G06T7/0012
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.
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公开(公告)号：EP0757544A4
公开(公告)日：1997-07-09
申请号：EP96908470
申请日：1996-02-23
Applicant: ARCH DEV CORP
Inventor： GIGER MARYELLEN L , ZHANG MING , LU PING
CPC classification number: G06T7/0012 , G06T7/11 , G06T2207/10116 , G06T2207/20061 , G06T2207/20132 , G06T2207/30068 , G06T2207/30096
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 eta 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.
Abstract translation: 一种自动检测诸如乳房X线照片之类的医学图像中的诸如肿块和/或实质变形之类的病变的方法和系统。 乳房X线照片（100）内的密集区域和皮下脂肪区域（102）被分段（101）。 可以在密集区域内执行背景校正。 为了增加灵敏度并减少假阳性检测的次数，计算并且使用强度值eta对阈值（106）放置在乳房X线照片（100）的乳房区域内的ROI（104）内的霍夫谱进行阈值处理。 根据阈值霍夫谱检测病变。 阈值霍夫谱也用于区分良性和恶性肿块。
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公开(公告)号：AU706993B2
公开(公告)日：1999-07-01
申请号：AU5170196
申请日：1996-02-23
Applicant: ARCH DEV CORP
Inventor： GIGER MARYELLEN L , ZHANG MING , LU PING
Abstract: A method and system for the automated detection of lesions such as masses and/or tissue (parenchymal) distortions in medical images such as mammograms. Dense regions and subcutaneous fat regions within a mammogram are segmented. A background correction may be performed within the dense regions. Hough spectrum within ROIs placed in the breast region of a mammogram are calculated and thresholded using the intensity value eta 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.
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公开(公告)号：DE69638305D1
公开(公告)日：2011-01-27
申请号：DE69638305
申请日：1996-02-23
Applicant: ARCH DEV CORP
Inventor： GIGER MARYELLEN L , ZHANG MING , LU PING
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公开(公告)号：AT239273T
公开(公告)日：2003-05-15
申请号：AT95903554
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 , G06T5/00 , G06K9/46 , G06K9/44 , G06K9/62 , G06K9/38
Abstract: A method and system for the automated detection and classification of masses in mammograms. These method and system include the performance of iterative, multi-level gray level thresholding, followed by a lesion extraction and feature extraction techniques for classifying true masses from false-positive masses and malignant masses from benign masses. The method and system provide improvements in the detection of masses include multi-gray-level thresholding 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 of malignancy.
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Patent Agency Ranking
公开(公告)号：AT491393T
公开(公告)日：2011-01-15
申请号：AT96908470
申请日：1996-02-23
Applicant: ARCH DEV CORP
Inventor： GIGER MARYELLEN , ZHANG MING , LU PING
Abstract: A method and system for the automated detection of lesions such as masses and/or tissue (parenchymal) distortions in medical images such as mammograms. Dense regions and subcutaneous fat regions within a mammogram are segmented. A background correction may be performed within the dense regions. Hough spectrum within ROIs placed in the breast region of a mammogram are calculated and thresholded using the intensity value eta 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.
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公开(公告)号：AU5170196A
公开(公告)日：1996-09-11
申请号：AU5170196
申请日：1996-02-23
Applicant: ARCH DEV CORP
Inventor： GIGER MARYELLEN L , ZHANG MING , LU PING
Abstract: A method and system for the automated detection of lesions such as masses and/or tissue (parenchymal) distortions in medical images such as mammograms. Dense regions and subcutaneous fat regions within a mammogram are segmented. A background correction may be performed within the dense regions. Hough spectrum within ROIs placed in the breast region of a mammogram are calculated and thresholded using the intensity value eta 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.
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公开(公告)号：AU1257095A
公开(公告)日：1995-06-13
申请号：AU1257095
申请日：1994-11-29
Applicant: ARCH DEV CORP
Inventor： GIGER MARYELLEN L , DOI KUNIO , LU PING , HUO ZHIMIN
Abstract: A method and system for the automated detection and classification of masses in mammograms. These method and system include the performance of iterative, multi-level gray level thresholding, followed by a lesion extraction and feature extraction techniques for classifying true masses from false-positive masses and malignant masses from benign masses. The method and system provide improvements in the detection of masses include multi-gray-level thresholding 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 of malignancy.
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公开(公告)号：DE69432601D1
公开(公告)日：2003-06-05
申请号：DE69432601
申请日：1994-11-29
Applicant: ARCH DEV CORP
Inventor： GIGER L , DOI KUNIO , LU PING , HUO ZHIMIN
IPC: A61B6/00 , G06K9/00 , G06T1/00 , G06T7/00 , G06T5/00 , G06K9/46 , G06K9/44 , G06K9/62 , G06K9/38
Abstract: A method and system for the automated detection and classification of masses in mammograms. These method and system include the performance of iterative, multi-level gray level thresholding, followed by a lesion extraction and feature extraction techniques for classifying true masses from false-positive masses and malignant masses from benign masses. The method and system provide improvements in the detection of masses include multi-gray-level thresholding 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 of malignancy.
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10.发明专利
公开(公告)号：AU687958B2
公开(公告)日：1998-03-05
申请号：AU1257095
申请日：1994-11-29
Applicant: ARCH DEV CORP
Inventor： GIGER MARYELLEN L , DOI KUNIO , LU PING , HUO ZHIMIN
Abstract: A method and system for the automated detection and classification of masses in mammograms. These method and system include the performance of iterative, multi-level gray level thresholding, followed by a lesion extraction and feature extraction techniques for classifying true masses from false-positive masses and malignant masses from benign masses. The method and system provide improvements in the detection of masses include multi-gray-level thresholding 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 of malignancy.
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