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1. 发明申请

WO2005079306A3 METHOD, SYSTEM, AND COMPUTER SOFTWARE PRODUCT FOR FEATURE-BASED CORRELATION OF LESIONS FROM MULTIPLE IMAGES 审中-公开
公开(公告)号：WO2005079306A3
公开(公告)日：2005-09-01
申请号：PCT/US2005/004417
申请日：2005-02-14
申请人： UNIVERSITY OF CHICAGO , GIGER, Maryellen, L. , WEN, HuiHua
发明人： GIGER, Maryellen, L. , WEN, HuiHua
IPC分类号： A61B5/05 , A61B6/00 , A61B6/04 , A61B10/00 , G01B15/06 , G06K9/00 , G06K9/64 , G06K9/68
摘要： A method, system, and computer software product for correlating medical images, comprising: obtaining a first medical image including a first abnormality (301a); obtaining second image data representative of a second medical image including a second abnormality (301b); determining at least one feature value fore each of the first (303a) and second (303b) abnormalities using the first and second image data; calculating, based on the determined feature values, a likelihood value indicative of a likelihood that the first and second abnormalities are as same abnormality (304); and outputting the determined likelihood value (305).

2. 发明申请

WO2005079306A2 METHOD, SYSTEM, AND COMPUTER SOFTWARE PRODUCT FOR FEATURE-BASED CORRELATION OF LESIONS FROM MULTIPLE IMAGES 审中-公开
标题翻译：方法，系统和计算机软件产品，用于从多个图像中进行基于特征的关联
公开(公告)号：WO2005079306A2
公开(公告)日：2005-09-01
申请号：PCT/US2005004417
申请日：2005-02-14
申请人： UNIV CHICAGO , GIGER MARYELLEN L , WEN HUIHUA
发明人： GIGER MARYELLEN L , WEN HUIHUA
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06T7/33 , G06T7/35 , G06T7/97 , G06T2207/10116 , G06T2207/10132 , G06T2207/30068 , Y10S128/922
摘要： A method, system, and computer software product for correlating medical images, comprising: obtaining first image data representative of a first medical image including a first abnormality; obtaining second image data representative of a second medical image including a second abnormality; determining at least one feature value for each of the first and second abnormalities using the first and second image data; calculating, based on the determined feature values, a likelihood value indicative of a likelihood that the first and second abnormalities are a same abnormality; and outputting the determined likelihood value.
摘要翻译：一种用于使医学图像相关的方法，系统和计算机软件产品，包括：获得表示包括第一异常的第一医学图像的第一图像数据; 获取表示包括第二异常的第二医用图像的第二图像数据; 使用所述第一和第二图像数据确定所述第一和第二异常中的每一个的至少一个特征值; 基于所确定的特征值，计算表示所述第一和第二异常是相同异常的可能性的似然值; 并输出所确定的似然值。

3. 发明申请

WO2003073364A1 COMPUTERIZED SHEMES FOR DETECING AND/OR DIAGNOSING LESIONS ON ULTRASOUND IMAGES USING ANALYSIS OF LESION SHADOWS 审中-公开
标题翻译：用超声波图像检测和/或诊断LESION SHADOWS分析的计算机
公开(公告)号：WO2003073364A1
公开(公告)日：2003-09-04
申请号：PCT/US2003/003119
申请日：2003-02-20
申请人： UNIVERSITY OF CHICAGO , DRUKKER, Karen , GIGER, Maryellen, L.
发明人： DRUKKER, Karen , GIGER, Maryellen, L.
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , A61B8/0833
摘要： Computerized detection and diagnostic schemes for sonographic images combine the benefits of computerized machine detection with the acquisition of non-radiographic medical images of special use for the screening of high risk, young patients who do not want the effects of ionizing characteristic of mammography. The lesion schemes employ computer-assisted interpretation of medical sonographic images, and output potential lesion sites and/or diagnosis of those lesions. More specifically, and embodiment of the computerized detection scheme involves convolving a sonographic image with a mask of a given ROI (region of interest) size (104), and calculating a skewness value for each mask location (108), and assembling the calculated skewness values to form a skewness image (110). Thresholds are applied to pixels of the skewness image to determine potential shadows (112, 114). An embodiment of the diagnostic scheme (classifying a detected lesion as malignant or benign, for example) involves calculating the skewness of a shadow of a detected lesion, and comparing the calculated skewness to a threshold to arrive at a diagnosis. The detection and diagnostic schemes may also involve merging skewness values with other values determined in accordance with other analytic features, to arrive a more comprehensive detection and diagnoses.
摘要翻译：用于超声图像的计算机检测和诊断方案结合了计算机化机器检测的优点和获得特殊用途的非放射照相医学图像，用于筛选不想要乳腺摄影的电离特征影响的高风险年轻患者。病变方案采用计算机辅助解释医学超声图像，并输出潜在的病变部位和/或诊断这些病变。更具体地，计算机检测方案的实施例涉及将超声波图像与给定ROI（感兴趣区域）尺寸（104）的掩模进行卷积，并且计算每个掩模位置（108）的偏度值，并且组合所计算的偏度值以形成偏斜图像（110）。将阈值应用于偏斜图像的像素以确定潜在阴影（112,114）。诊断方案（例如，将检测到的病变分类为恶性或良性的）的实施例涉及计算检测到的病变的阴影的偏度，并将所计算的偏度与阈值进行比较以得出诊断。检测和诊断方案还可能涉及将偏度值与根据其他分析特征确定的其他值合并，以获得更全面的检测和诊断。

4. 发明申请

WO03067371A2 METHOD AND SYSTEM FOR RISK-MODULATED DIAGNOSIS OF DISEASE 审中-公开
标题翻译：用于风险调节疾病诊断的方法和系统
公开(公告)号：WO03067371A2
公开(公告)日：2003-08-14
申请号：PCT/US0302674
申请日：2003-02-10
申请人： GIGER MARYELLEN L , HUO ZHIMIN , VYBORNY CARL J
发明人： GIGER MARYELLEN L , HUO ZHIMIN , VYBORNY CARL J
IPC分类号： A61B5/05 , A61B6/00 , A61B6/04 , A61B8/00 , G06F20060101 , G06F19/00 , G06K9/00 , G06K9/32 , G06K9/46 , G06T7/00 , G06F
CPC分类号： G06T7/0012 , G06K9/3233 , G06T2207/30068 , G16H50/20 , G16H50/30 , G16H50/50 , G16H50/70
摘要： A method of calculating a disease assessment by analyzing a medical image, comprising (1) extracting at least one lesion feature value from the medical image; (2) extracting at least one risk feature value from the medical image; and (3) determining the disease assessment based on the at least one lesion feature value and the at least one risk feature value. The method employs lesion characterization for characterizing the lesion, and risk assessment based on the lesion's surroundings, i.e., the environment local and distal to the lesion. Computerized methods both characterize mammographic lesions and assess the breast parenchymal pattern on mammograms, resulting in improved characterization of lesions for specific subpopulations, combining the benefits of both techniques.
摘要翻译：一种通过分析医学图像来计算疾病评估的方法，包括（1）从医学图像中提取至少一个病变特征值; （2）从医学图像中提取至少一个风险特征值; （3）基于所述至少一个病变特征值和所述至少一个风险特征值来确定疾病评估。该方法使用损伤表征来表征损伤，以及基于损伤的周围环境，即损伤局部和远端的环境进行风险评估。计算机化的方法既能表征乳房X射线损伤，又能评估乳房X线照片上的乳房实质模式，从而改善特定亚群病变的特征，结合两种技术的优点。

5. 发明申请

WO2003045231A1 AUTOMATED METHOD AND SYSTEM FOR THE DETECTION OF ABNORMALITIES IN SONOGRAPHIC IMAGES 审中-公开
标题翻译：用于检测SONOGRAPHIC图像异常的自动方法和系统
公开(公告)号：WO2003045231A1
公开(公告)日：2003-06-05
申请号：PCT/US2002/033653
申请日：2002-11-22
申请人： UNIVERSITY OF CHICAGO , DRUKKER, Karen , GIGER, Maryellen, L. , HORSCH, Karla , VYBORNY, Carl, J.
发明人： DRUKKER, Karen , GIGER, Maryellen, L. , HORSCH, Karla , VYBORNY, Carl, J.
IPC分类号： A61B5/00
CPC分类号： G06T7/0012 , A61B8/0825
摘要： The technical features mentioned in the abstract do not include a reference sign between parentheses (PCT Rule 8.1(d)). A method of detecting a candidate abnormality in a sonographic medical image, based on determining a radial gradient index (RGI) at plural pixels, producing an RGI image, thresholding the RGI image (S106), determining a candidate abnormality (S108) based on the thresholding step (S106), and locating a center point of the candidate abnormality (S112). The candidate abnormality may be classified by segmenting the candidate abnormality, including determining average radial gradients (ARDs) in the sonographic medical image (S114) based on the center point and feature extraction (S116) and determining the likelihood of being an actual abnormality (S120).
摘要翻译：摘要中提到的技术特征不包括括号之间的参考符号（PCT规则8.1（d））。基于确定多个像素处的径向梯度指数（RGI），产生RGI图像，对RGI图像进行阈值处理（S106）来检测超声医学图像中的候选异常的方法，基于阈值步骤（S106），并且确定候选异常的中心点（S112）。候选异常可以通过分割候选异常，包括基于中心点和特征提取来确定超声医学图像中的平均径向梯度（S11D）（S116）并确定实际异常的可能性（S120 ）。

6. 发明申请

WO2003045219A2 AUTOMATED METHOD AND SYSTEM FOR THE DIFFERENTIATION OF BONE DISEASE ON RADIOGRAPHIC IMAGES 审中-公开
标题翻译：自动化方法和系统，用于放射学图像上的骨质疏松
公开(公告)号：WO2003045219A2
公开(公告)日：2003-06-05
申请号：PCT/US2002/033652
申请日：2002-11-22
申请人： GIGER, Maryellen, L. , CHINANDER, Michael, R. , VOKES, Tamara , FAVUS, Murray
发明人： GIGER, Maryellen, L. , CHINANDER, Michael, R. , VOKES, Tamara , FAVUS, Murray
IPC分类号： A61B
CPC分类号： G06T7/0012 , G06T2207/30008
摘要： A method, system, and computer program product for analyzing a medical image to determine a measure of bone strength, comprising identifying plural regions of interest (ROIs) in the medical image; calculating at least one texture feature value for each ROI; averaging the at least one texture feature value calculated for each ROI to obtain at least one average texture feature value; and determining the measure of bone strength based on the at least one average texture feature value using a classifier. Alternatively, the image data in each ROI is first transformed into the frequency domain and averaged to obtain an average image. This process reduces noise and improves the performance of the system. The assessment of bone strength and/or osteoporosis is used as a predictor of risk of fracture.
摘要翻译：一种用于分析医学图像以确定骨骼强度测量的方法，系统和计算机程序产品，包括识别医学图像中的多个感兴趣区域（ROI）; 为每个ROI计算至少一个纹理特征值; 平均针对每个ROI计算的至少一个纹理特征值以获得至少一个平均纹理特征值; 以及使用分类器基于所述至少一个平均纹理特征值来确定骨强度的度量。或者，首先将每个ROI中的图像数据变换成频域并对其进行平均以获得平均图像。此过程可降低噪音并提高系统的性能。骨强度和/或骨质疏松症的评估被用作骨折风险的预测指标。

7. 发明申请

WO2003067371A3 METHOD AND SYSTEM FOR RISK-MODULATED DIAGNOSIS OF DISEASE 审中-公开
公开(公告)号：WO2003067371A3
公开(公告)日：2003-08-14
申请号：PCT/US2003/002674
申请日：2003-02-10
申请人： GIGER, Maryellen, L. , HUO, Zhimin , VYBORNY, Carl, J.
发明人： GIGER, Maryellen, L. , HUO, Zhimin , VYBORNY, Carl, J.
IPC分类号： G06K9/00
摘要： A method of calculating a disease assessment by analyzing a medical image, comprising (1) extracting at least one lesion feature value from the medical image; (2) extracting at least one risk feature value from the medical image; and (3) determining the disease assessment based on the at least one lesion feature value and the at least one risk feature value. The method employs lesion characterization for characterizing the lesion, and risk assessment based on the lesion's surroundings, i.e., the environment local and distal to the lesion. Computerized methods both characterize mammographic lesions and assess the breast parenchymal pattern on mammograms, resulting in improved characterization of lesions for specific subpopulations, combining the benefits of both techniques.

8. 发明申请

WO2003045219A3 DIFFERENTIATION OF BONE DISEASE ON RADIOGRAPHIC IMAGES 审中-公开
公开(公告)号：WO2003045219A3
公开(公告)日：2003-06-05
申请号：PCT/US2002/033652
申请日：2002-11-22
申请人： THE UNIVERSITY OF CHICAGO , GIGER, Maryellen, L. , CHINANDER, Michael, R. , VOKES, Tamara , FAVUS, Murray
发明人： GIGER, Maryellen, L. , CHINANDER, Michael, R. , VOKES, Tamara , FAVUS, Murray
IPC分类号： G01N23/06
摘要： A method, system, and computer program product for analyzing a medical image to determine a measure of bone strength, comprising identifying plural regions of interest (ROIs) in the medical image; calculating at least one texture feature value for each ROI; averaging the at least one texture feature value calculated for each ROI to obtain at least one average texture feature value; and determining the measure of bone strength based on the at least one average texture feature value using a classifier. Alternatively, the image data in each ROI is first transformed into the frequency domain and averaged to obtain an average image. This process reduces noise and improves the performance of the system. The assessment of bone strength and/or osteoporosis is used as a predictor of risk of fracture.

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