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1. 发明申请

US20050234570A1 Method, system, and medium for prevalence-based computerized analysis of medical images and information 有权
标题翻译：方法，系统和媒介，用于基于流行率的医学图像和信息的计算机化分析
公开(公告)号：US20050234570A1
公开(公告)日：2005-10-20
申请号：US10997935
申请日：2004-11-29
申请人： Karla Horsch , Maryellen Giger , Charles Metz , Carl Vyborny , Terrieann Vyborny , Li Lan
发明人： Karla Horsch , Maryellen Giger , Charles Metz , Carl Vyborny , Terrieann Vyborny , Li Lan
IPC分类号： G06F155/00
CPC分类号： G06F19/321 , G06F19/00
摘要： A method for computer-assisted interpretation of medical images that factor in characteristics of an individual performing the interpretation. The method automatically determines and/or incorporates prevalence-based computer analysis based on an estimated likelihood of a pathological state, e.g., a malignancy. A system implementing the method includes the calculation of features or other characteristics of images in a known database, calculation of features of an unknown case, calculation of the probability (or likelihood) of disease state, calculation of the modified computer output that includes the internal prevalence (or internal decision-making process) of the user (or group of users), and output of the result.
摘要翻译：一种用于计算机辅助解释医疗图像的方法，其用于考虑执行解释的个体的特征。该方法基于病理状态（例如恶性肿瘤）的估计可能性来自动确定和/或结合基于流行率的计算机分析。实现该方法的系统包括计算已知数据库中的图像的特征或其他特征，计算未知病例的特征，计算疾病状态的概率（或可能性），计算包括内部的修改的计算机输出用户（或用户组）的流行（或内部决策过程）以及结果的输出。

2. 发明授权

US07769215B2 Method, system, and medium for prevalence-based computerized analysis of medical images and information 有权
标题翻译：方法，系统和媒介，用于基于流行率的医学图像和信息的计算机化分析
公开(公告)号：US07769215B2
公开(公告)日：2010-08-03
申请号：US10997935
申请日：2004-11-29
申请人： Karla Horsch , Maryellen L. Giger , Charles E. Metz , Carl J. Vyborny , Terrieann Vyborny, legal representative , Li Lan
发明人： Karla Horsch , Maryellen L. Giger , Charles E. Metz , Carl J. Vyborny , Li Lan
IPC分类号： G06K9/00
CPC分类号： G06F19/321 , G06F19/00
摘要： A method for computer-assisted interpretation of medical images that factor in characteristics of an individual performing the interpretation. The method automatically determines and/or incorporates prevalence-based computer analysis based on an estimated likelihood of a pathological state, e.g., a malignancy. A system implementing the method includes the calculation of features or other characteristics of images in a known database, calculation of features of an unknown case, calculation of the probability (or likelihood) of disease state, calculation of the modified computer output that includes the internal prevalence (or internal decision-making process) of the user (or group of users), and output of the result.
摘要翻译：一种用于计算机辅助解释医疗图像的方法，其用于考虑执行解释的个体的特征。该方法基于病理状态（例如恶性肿瘤）的估计可能性来自动确定和/或结合基于流行率的计算机分析。实现该方法的系统包括计算已知数据库中的图像的特征或其他特征，计算未知病例的特征，计算疾病状态的概率（或可能性），计算包括内部的修改的计算机输出用户（或用户组）的流行（或内部决策过程）以及结果的输出。

3. 发明申请

US20060004278A1 Method, system, and computer software product for feature-based correlation of lesions from multiple images 有权
标题翻译：方法，系统和计算机软件产品，用于来自多个图像的病变的基于特征的相关性
公开(公告)号：US20060004278A1
公开(公告)日：2006-01-05
申请号：US11056368
申请日：2005-02-14
申请人： Maryellen Giger , HuiHua Wen , Li Lan
发明人： Maryellen Giger , HuiHua Wen , Li Lan
IPC分类号： A61B5/05
CPC分类号： G06T7/0012 , G06F19/00 , 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。

4. 发明授权

US09536305B2 Method, system, software and medium for advanced intelligent image analysis and display of medical images and information 有权
标题翻译：方法，系统，软件和媒介，用于高级智能图像分析和医学图像和信息的显示
公开(公告)号：US09536305B2
公开(公告)日：2017-01-03
申请号：US14887678
申请日：2015-10-20
申请人： Maryellen L. Giger , Robert Tomek , Jeremy Bancroft Brown , Andrew Robert Jamieson , Li Lan , Michael R. Chinander , Karen Drukker , Hui Li , Neha Bhooshan , Gillian Newstead
发明人： Maryellen L. Giger , Robert Tomek , Jeremy Bancroft Brown , Andrew Robert Jamieson , Li Lan , Michael R. Chinander , Karen Drukker , Hui Li , Neha Bhooshan , Gillian Newstead
IPC分类号： G06T7/00 , G06T11/00 , G06T15/08 , G06T15/20 , G06T17/00 , G06T19/20 , G06K9/62 , G06T7/60 , G06T7/40
CPC分类号： G06T7/0016 , G06K9/6253 , G06T7/0012 , G06T7/40 , G06T7/62 , G06T11/003 , G06T15/08 , G06T15/20 , G06T17/00 , G06T19/20 , G06T2207/10076 , G06T2207/10084 , G06T2207/10088 , G06T2207/10116 , G06T2207/10136 , G06T2207/20081 , G06T2207/30004 , G06T2207/30068
摘要： Computerized interpretation of medical images for quantitative analysis of multi-modality breast images including analysis of FFDM, 2D/3D ultrasound, MRI, or other breast imaging methods. Real-time characterization of tumors and background tissue, and calculation of image-based biomarkers is provided for breast cancer detection, diagnosis, prognosis, risk assessment, and therapy response. Analysis includes lesion segmentation, and extraction of relevant characteristics (textural/morphological/kinetic features) from lesion-based or voxel-based analyses. Combinations of characteristics in several classification tasks using artificial intelligence is provided. Output in terms of 1D, 2D or 3D distributions in which an unknown case is identified relative to calculations on known or unlabeled cases, which can go through a dimension-reduction technique. Output to 3D shows relationships of the unknown case to a cloud of known or unlabeled cases, in which the cloud demonstrates the structure of the population of patients with and without the disease.
摘要翻译：医学图像的计算机化解释用于定量分析多形态乳房图像，包括FFDM，2D / 3D超声，MRI或其他乳房成像方法的分析。提供肿瘤和背景组织的实时表征，以及基于图像的生物标志物的计算，用于乳腺癌检测，诊断，预后，风险评估和治疗反应。分析包括病变分割，以及基于病变或体素分析的相关特征（纹理/形态/动力特征）的提取。提供了使用人工智能的几个分类任务中的特征组合。根据1D，2D或3D分布的输出，其中相对于已知或未标记的情况下的计算来识别未知情况，可以通过维度降低技术。输出到3D显示未知病例与已知或未标记病例的云的关系，其中云显示患有和没有疾病的患者群体的结构。

5. 发明申请

US20120189176A1 METHOD, SYSTEM, SOFTWARE AND MEDIUM FOR ADVANCED INTELLIGENT IMAGE ANALYSIS AND DISPLAY OF MEDICAL IMAGES AND INFORMATION 有权
标题翻译：方法，系统，软件和媒介用于高级智能图像分析和显示医学图像和信息
公开(公告)号：US20120189176A1
公开(公告)日：2012-07-26
申请号：US13305495
申请日：2011-11-28
申请人： Maryellen L. Giger , Robert Tomek , Jeremy Bancroft Brown , Andrew Robert Jamieson , Li Lan , Michael R. Chinander , Karen Drukker , Hui Li , Neha Bhooshan , Gillian Newstead
发明人： Maryellen L. Giger , Robert Tomek , Jeremy Bancroft Brown , Andrew Robert Jamieson , Li Lan , Michael R. Chinander , Karen Drukker , Hui Li , Neha Bhooshan , Gillian Newstead
IPC分类号： G06K9/46
CPC分类号： G06T7/0016 , G06K9/6253 , G06T7/0012 , G06T7/40 , G06T7/62 , G06T11/003 , G06T15/08 , G06T15/20 , G06T17/00 , G06T19/20 , G06T2207/10076 , G06T2207/10084 , G06T2207/10088 , G06T2207/10116 , G06T2207/10136 , G06T2207/20081 , G06T2207/30004 , G06T2207/30068
摘要： Computerized interpretation of medical images for quantitative analysis of multi-modality breast images including analysis of FFDM, 2D/3D ultrasound, MRI, or other breast imaging methods. Real-time characterization of tumors and background tissue, and calculation of image-based biomarkers is provided for breast cancer detection, diagnosis, prognosis, risk assessment, and therapy response. Analysis includes lesion segmentation, and extraction of relevant characteristics (textural/morphological/kinetic features) from lesion-based or voxel-based analyses. Combinations of characteristics in several classification tasks using artificial intelligence is provided. Output in terms of 1D, 2D or 3D distributions in which an unknown case is identified relative to calculations on known or unlabeled cases, which can go through a dimension-reduction technique. Output to 3D shows relationships of the unknown case to a cloud of known or unlabeled cases, in which the cloud demonstrates the structure of the population of patients with and without the disease.
摘要翻译：医学图像的计算机化解释用于定量分析多形态乳房图像，包括FFDM，2D / 3D超声，MRI或其他乳房成像方法的分析。提供肿瘤和背景组织的实时表征，以及基于图像的生物标志物的计算，用于乳腺癌检测，诊断，预后，风险评估和治疗反应。分析包括病变分割，以及基于病变或体素分析的相关特征（纹理/形态/动力特征）的提取。提供了使用人工智能的几个分类任务中的特征组合。根据1D，2D或3D分布的输出，其中相对于已知或未标记的情况下的计算来识别未知情况，可以通过维度降低技术。输出到3D显示未知病例与已知或未标记病例的云的关系，其中云显示患有和没有疾病的患者群体的结构。

6. 发明申请

US20130066584A1 TEMPERATURE ESTIMATION METHOD, TEMPERATURE ESTIMATION APPARATUS, AND PROGRAM THEREOF 审中-公开
标题翻译：温度估算方法，温度估算装置及其程序
公开(公告)号：US20130066584A1
公开(公告)日：2013-03-14
申请号：US13698823
申请日：2012-04-03
申请人： Li Lan , Shu Feng Fan , Kok Seng Chong , Anh Tuan Tran , Satoshi Kondo
发明人： Li Lan , Shu Feng Fan , Kok Seng Chong , Anh Tuan Tran , Satoshi Kondo
IPC分类号： G01K11/22 , G06F15/00
CPC分类号： A61N7/02 , A61B5/01 , A61B8/485 , A61B8/5223 , A61B2017/00084 , A61B2017/00106 , A61B2018/00791 , G01S7/52036 , G01S7/52042
摘要： A temperature estimation method including: receiving a scan signal generated by scanning the target region using the ultrasound signal, and estimating, based on the scan signal, an echo shift which is an amount of change in time required for the ultrasound signal to pass through the target region, the time changing depending on the temperature in the target region; estimating, based on the estimated echo shift, a strain which is an apparent change rate of a travel distance required for the ultrasound signal to pass through the target region, the travel distance changing depending on the temperature in the target region; estimating, based on the estimated strain, a strain rate which is a temporal change rate of the strain; and estimating the temperature in the target region corresponding to the strain and the strain rate, based on a predetermined relationship between a strain, a strain rate, and a temperature.
摘要翻译：一种温度估计方法，包括：使用所述超声波信号接收通过扫描所述目标区域而产生的扫描信号，以及基于所述扫描信号，估计所述超声波信号通过所述扫描信号所需的时间变化量的回波偏移目标区域，时间根据目标区域的温度而变化; 基于估计的回波偏移估计作为超声信号通过目标区域所需的行驶距离的明显变化率的应变，行驶距离根据目标区域中的温度而变化; 基于估计的应变估计作为应变的时间变化率的应变率; 并且基于应变，应变速率和温度之间的预定关系，估计对应于应变和应变速率的目标区域中的温度。

7. 发明授权

US07184582B2 Method, system and computer readable medium for an intelligent search workstation for computer assisted interpretation of medical images 有权
标题翻译：智能搜索工作站的方法，系统和计算机可读介质，用于医学图像的计算机辅助解释
公开(公告)号：US07184582B2
公开(公告)日：2007-02-27
申请号：US10793799
申请日：2004-03-08
申请人： Maryellen L. Giger , Carl J. Vyborny , Zhimin Huo , Li Lan
发明人： Maryellen L. Giger , Carl J. Vyborny , Zhimin Huo , Li Lan
IPC分类号： G06K9/00
CPC分类号： G06F19/321 , A61B6/502 , G06F19/00 , G06T7/0012 , G06T2207/30068 , G16H50/20 , G16H50/70
摘要： A method, system and computer readable medium for an intelligent search display into which an automated computerized image analysis has been incorporated. Upon viewing an unknown mammographic case, the display shows both the computer classification output as well as images of lesions with known diagnoses (e.g., malignant vs. benign) and similar computer-extracted features. The similarity index used in the search can be chosen by the radiologist to be based on a single feature, multiple features, or on the computer estimate of the likelihood of malignancy. Specifically the system includes the calculation of features of images in a known database, calculation of features of an unknown case, calculation of a similarity index, display of the known cases along the probability distribution curves at which the unknown case exists. Techniques include novel developments and implementations of computer-extracted features for similarity calculation and novel methods for the display of the unknown case amongst known cases with and without the computer-determined diagnoses.
摘要翻译：一种用于智能搜索显示器的方法，系统和计算机可读介质，已经并入了自动计算机图像分析。在观察未知的乳房X线照相术的情况下，显示器显示计算机分类输出以及具有已知诊断（例如恶性与良性）的病变的图像以及类似的计算机提取的特征。搜索中使用的相似性索引可以由放射科医师选择，以基于单个特征，多个特征或计算机估计恶性肿瘤的可能性。具体地说，系统包括计算已知数据库中的图像的特征，计算未知情况的特征，计算相似性指数，沿着未知情况存在的概率分布曲线显示已知情况。技术包括用于相似性计算的计算机提取特征的新颖开发和实现，以及用于在具有和不具有计算机确定的诊断的情况下在已知病例中显示未知病例的新颖方法。

8. 发明申请

US20090159333A1 DETERMINING DRILLSTRING NEUTRAL POINT BASED ON HYDRAULIC FACTOR 有权
标题翻译：基于液压因子确定钻孔中点
公开(公告)号：US20090159333A1
公开(公告)日：2009-06-25
申请号：US11963059
申请日：2007-12-21
申请人： Jonathan Guidry , XiaoYan Shi , Richard Meehan , Joseph Fang , Li Lan
发明人： Jonathan Guidry , XiaoYan Shi , Richard Meehan , Joseph Fang , Li Lan
IPC分类号： G01V3/38 , E21B47/00
CPC分类号： E21B44/00
摘要： A solution for determining a neutral point of a drillstring in drilling a borehole is disclosed. A method may comprise: receiving depth-time log data for drilling the borehole with the drillstring, the depth-time log data including data related to a torque and drag factor and data related to a hydraulic factor; and determining the neutral point of the drillstring at a time point during the drilling based on the torque and drag factor and the hydraulic factor.
摘要翻译：公开了一种用于在钻孔中确定钻柱的中性点的解决方案。一种方法可以包括：接收用钻井钻孔的深度时间日志数据，深度时间日志数据包括与扭矩和阻力因子有关的数据以及与液压系数有关的数据; 并且基于扭矩和阻力系数以及液压系数，在钻井期间的时间点确定钻柱的中性点。

9. 发明授权

US06901156B2 Method, system and computer readable medium for an intelligent search workstation for computer assisted interpretation of medical images 有权
标题翻译：智能搜索工作站的方法，系统和计算机可读介质，用于医学图像的计算机辅助解释
公开(公告)号：US06901156B2
公开(公告)日：2005-05-31
申请号：US09773636
申请日：2001-02-02
申请人： Maryellen L. Giger , Carl J. Vyborny , Zhimin Huo , Li Lan
发明人： Maryellen L. Giger , Carl J. Vyborny , Zhimin Huo , Li Lan
IPC分类号： A61B6/00 , G06F19/00 , G06K9/00 , G06Q50/00 , G06T1/00 , G06T7/00
CPC分类号： G06F19/321 , A61B6/502 , G06F19/00 , G06T7/0012 , G06T2207/30068 , G16H50/20 , G16H50/70
摘要： A method, system and computer readable medium for an intelligent search display into which an automated computerized image analysis has been incorporated. Upon viewing an unknown mammographic case, the display shows both the computer classification output as well as images of lesions with known diagnoses (e.g., malignant vs. benign) and similar computer-extracted features. The similarity index used in the search can be chosen by the radiologist to be based on a single feature, multiple features, or on the computer estimate of the likelihood of malignancy. Specifically the system includes the calculation of features of images in a known database, calculation of features of an unknown case, calculation of a similarity index, display of the known cases along the probability distribution curves at which the unknown case exists. Techniques include novel developments and implementations of computer-extracted features for similarity calculation and novel methods for the display of the unknown case amongst known cases with and without the computer-determined diagnoses.
摘要翻译：一种用于智能搜索显示器的方法，系统和计算机可读介质，已经并入了自动计算机图像分析。在观察未知的乳房X线照相术的情况下，显示器显示计算机分类输出以及具有已知诊断（例如恶性与良性）的病变的图像以及类似的计算机提取的特征。搜索中使用的相似性索引可以由放射科医师选择，以基于单个特征，多个特征或计算机估计恶性肿瘤的可能性。具体地说，系统包括计算已知数据库中的图像的特征，计算未知情况的特征，计算相似性指数，沿着未知情况存在的概率分布曲线显示已知情况。技术包括用于相似性计算的计算机提取特征的新颖开发和实现，以及用于在具有和不具有计算机确定的诊断的情况下在已知病例中显示未知病例的新颖方法。

10. 发明授权

US09208556B2 Method, system, software and medium for advanced intelligent image analysis and display of medical images and information 有权
标题翻译：方法，系统，软件和媒介，用于高级智能图像分析和医学图像和信息的显示
公开(公告)号：US09208556B2
公开(公告)日：2015-12-08
申请号：US13305495
申请日：2011-11-28
申请人： Maryellen L. Giger , Robert Tomek , Jeremy Bancroft Brown , Andrew Robert Jamieson , Li Lan , Michael R. Chinander , Karen Drukker , Hui Li , Neha Bhooshan , Gillian Newstead
发明人： Maryellen L. Giger , Robert Tomek , Jeremy Bancroft Brown , Andrew Robert Jamieson , Li Lan , Michael R. Chinander , Karen Drukker , Hui Li , Neha Bhooshan , Gillian Newstead
IPC分类号： G06T7/00 , G06T11/00 , G06T15/08 , G06T15/20 , G06T17/00 , G06T19/20 , G06K9/62 , G06T7/60
CPC分类号： G06T7/0016 , G06K9/6253 , G06T7/0012 , G06T7/40 , G06T7/62 , G06T11/003 , G06T15/08 , G06T15/20 , G06T17/00 , G06T19/20 , G06T2207/10076 , G06T2207/10084 , G06T2207/10088 , G06T2207/10116 , G06T2207/10136 , G06T2207/20081 , G06T2207/30004 , G06T2207/30068
摘要： Computerized interpretation of medical images for quantitative analysis of multi-modality breast images including analysis of FFDM, 2D/3D ultrasound, MRI, or other breast imaging methods. Real-time characterization of tumors and background tissue, and calculation of image-based biomarkers is provided for breast cancer detection, diagnosis, prognosis, risk assessment, and therapy response. Analysis includes lesion segmentation, and extraction of relevant characteristics (textural/morphological/kinetic features) from lesion-based or voxel-based analyzes. Combinations of characteristics in several classification tasks using artificial intelligence is provided. Output in terms of 1D, 2D or 3D distributions in which an unknown case is identified relative to calculations on known or unlabeled cases, which can go through a dimension-reduction technique. Output to 3D shows relationships of the unknown case to a cloud of known or unlabeled cases, in which the cloud demonstrates the structure of the population of patients with and without the disease.
摘要翻译：医学图像的计算机化解释用于定量分析多形态乳房图像，包括FFDM，2D / 3D超声，MRI或其他乳房成像方法的分析。提供肿瘤和背景组织的实时表征，以及基于图像的生物标志物的计算，用于乳腺癌检测，诊断，预后，风险评估和治疗反应。分析包括病变分割，以及基于病变或体素分析的相关特征（纹理/形态/动力特征）的提取。提供了使用人工智能的几个分类任务中的特征组合。根据1D，2D或3D分布的输出，其中相对于已知或未标记的情况下的计算来识别未知情况，可以通过维度降低技术。输出到3D显示未知病例与已知或未标记病例的云的关系，其中云显示患有和没有疾病的患者群体的结构。

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