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    • 1. 发明授权
    • Method, system and computer readable medium for an intelligent search workstation for computer assisted interpretation of medical images
    • 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
    • US07184582B2
    • 2007-02-27
    • US10793799
    • 2004-03-08
    • Maryellen L. GigerCarl J. VybornyZhimin HuoLi Lan
    • Maryellen L. GigerCarl J. VybornyZhimin HuoLi Lan
    • G06K9/00
    • G06F19/321A61B6/502G06F19/00G06T7/0012G06T2207/30068G16H50/20G16H50/70
    • 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.
    • 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。
    • 2. 发明授权
    • Method, system and computer readable medium for an intelligent search workstation for computer assisted interpretation of medical images
    • 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
    • US06901156B2
    • 2005-05-31
    • US09773636
    • 2001-02-02
    • Maryellen L. GigerCarl J. VybornyZhimin HuoLi Lan
    • Maryellen L. GigerCarl J. VybornyZhimin HuoLi Lan
    • A61B6/00G06F19/00G06K9/00G06Q50/00G06T1/00G06T7/00
    • G06F19/321A61B6/502G06F19/00G06T7/0012G06T2207/30068G16H50/20G16H50/70
    • 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.
    • 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。
    • 4. 发明授权
    • Automated method and system for computerized image analysis for prognosis
    • 计算机图像分析自动化方法和系统预后
    • US07418123B2
    • 2008-08-26
    • US10617675
    • 2003-07-14
    • Maryellen L. GigerIoana BontaRuth HeimannRobert M. NishikawaCarl J. Vyborny
    • Maryellen L. GigerIoana BontaRuth HeimannRobert M. NishikawaCarl J. Vyborny
    • G06K9/00
    • G06T7/0012G06T7/11G06T7/187G06T2207/10088G06T2207/10132G06T2207/30068G06T2207/30096
    • An automated method for determining prognosis based on an analysis of abnormality (lesion) features and parenchymal features obtained from medical image data of a patient. The techniques include segmentation of lesions from radiographic images, extraction of lesion features, and a merging of the features (with and without clinical information) to yield as estimate of the prognosis for the specific case. An example is given for the prognosis of breast cancer lesions using mammographic data. A computerized image analysis system for assessing prognosis combines the computerized analysis of medical images of cancerous lesions with the training-based methods of assessing prognosis of a patient, using indicators such as lymph node involvement, presence of metastatic disease, local recurrence, and/or death. It is expected that use of such a system to assess the severity of the disease will aid in improved decision-making regarding treatment options.
    • 一种用于基于从患者的医学图像数据获得的异常(损伤)特征和实质特征的分析来确定预后的自动化方法。 这些技术包括从放射照相图像分割病变,提取病变特征,以及特征(有和没有临床信息)的合并,以产生具体病例的预后估计。 使用乳房X线摄影数据给出乳腺癌病变预后的一个例子。 用于评估预后的计算机化图像分析系统将癌症病变的医学图像的计算机化分析与使用诸如淋巴结受累,转移性疾病的存在,局部复发的指标以及/或患者的评估患者预后的基于训练的方法相结合 死亡。 预计使用这样的系统来评估疾病的严重程度将有助于改善治疗方案的决策。