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    • 1. 发明授权
    • Three time point lung cancer detection, diagnosis and assessment of prognosis
    • 三个时间点肺癌检测,诊断和评估预后
    • US07693320B2
    • 2010-04-06
    • US10593887
    • 2005-04-08
    • Hadassa DeganiDaphna Weinstein
    • Hadassa DeganiDaphna Weinstein
    • G06K9/00A61B6/00
    • A61B6/481G06K9/00127G06K2209/05G06T7/0012G06T2207/30061G06T2207/30096
    • A malignancy classification method and medium for classifying a region of lung tissue are disclosed. The classifying includes: setting time points T1 and T2 measured from injection of a contrast agent. TI represents a wash-in time point for malignant lung tissue at which a first concentration value of the injected contrast agent is substantially equal to or near a peak for injected contrast agent concentration in the region of lung tissue. Patient concentration values of the contrast agent for the area of lung tissue at time points T1 and T2 are obtained, and a malignancy classification for the region of lung tissue is provided by comparing the obtained sample concentration values with a predetermined malignancy profile. A visual representation of the malignancy classification of the region of lung tissue is outputted.
    • 公开了用于分类肺组织区域的恶性分类方法和培养基。 分类包括:设定从注射造影剂测量的时间点T1和T2。 TI表示对于恶性肺组织的洗涤时间点,其中注射的造影剂的第一浓度值基本上等于或接近肺组织区域中注射造影剂浓度的峰值。 获得在时间点T1和T2的肺组织区域的造影剂的患者浓度值,并通过将获得的样品浓度值与预定的恶性肿瘤特征进行比较来提供肺组织区域的恶性分类。 输出肺组织区域的恶性分类的视觉表示。
    • 3. 发明申请
    • Lung Cancer Diagnosis Using Magnetic Resonance Imaging Data Obtained at Three Time Points
    • 使用三个时间点获得的磁共振成像数据进行肺癌诊断
    • US20080187200A1
    • 2008-08-07
    • US11912554
    • 2005-04-28
    • Hadassa DeganiEdna Haran
    • Hadassa DeganiEdna Haran
    • G06K9/00
    • G06T7/0016G06K2209/053G06T2207/10088G06T2207/30061
    • A malignancy classification method and medium for diagnosing a region of lung tissue based on MRI data are disclosed. The classifying includes: setting time points T1 and T2 measured from injection of a contrast agent. T1 represents a wash-in time point for malignant lung tissue at which a first concentration value of the injected contrast agent is substantially equal to or near a peak for injected contrast agent concentration in the region of lung tissue. Patient concentration values of the contrast agent for the area of lung tissue at time points T1 and T2 are obtained, and a malignancy classification for the region of lung tissue is provided by comparing the obtained sample concentration values with a predetermined malignancy profile. A visual representation of the malignancy classification of the region of lung tissue is outputted.
    • 公开了一种基于MRI数据诊断肺组织区域的恶性分类方法和介质。 分类包括:从注射造影剂测量的时间点T 1> 1和T 2> 。 T 1表示恶性肺组织的洗涤时间点,其中注射的造影剂的第一浓度值基本上等于或接近于在肺组织区域中注射的造影剂浓度的峰值 。 获得在时间点T 1和T 2 2处的肺组织区域的造影剂的患者浓度值,并且提供肺组织区域的恶性分类 通过将获得的样品浓度值与预定的恶性曲线进行比较。 输出肺组织区域的恶性分类的视觉表示。
    • 7. 发明授权
    • Apparatus for monitoring a system in which a fluid flows
    • 用于监测流体流动的系统的装置
    • US06611778B2
    • 2003-08-26
    • US09993190
    • 2001-11-16
    • Hadassa Degani
    • Hadassa Degani
    • A61B800
    • G06T13/00G06T7/0012G06T11/206G06T2207/10096G06T2207/30068G06T2210/24
    • Apparatus and method for monitoring a system in which a fluid flows and which is characterized by a change in the system with time in space. A preselected place in the system is monitored to collect data at two or more time points correlated to a system event. The data is indicative of a system parameter that varies with time as a function of at least two variables related to system wash-in and wash-out behavior. A calibration map is made on a calculated basis with each pixel or voxel representative of a color hue indicative of wash-out behavior and a color intensity indicative of wash-in behavior. When a sastisfactory map is obtained, the collected data is processed on the basis of the map to obtain an image of the preselected place with each spatial unit thereof correlated with a color hue and a color intensity. Software and a data processing system are provided to develop the calibration map. The calibration map and image of the preselected place are also novel implementations.
    • 用于监测流体流动的系统的装置和方法,其特征在于系统随时间的变化。 监视系统中的预选位置以在与系统事件相关的两个或更多个时间点收集数据。 该数据表示系统参数随着时间而变化,其与至少两个与系统洗涤和洗出行为相关的变量的函数变化。 校准图是在计算的基础上进行的,每个像素或体素代表指示洗出行为的色调和指示洗涤行为的颜色强度。 当获得了一个满意的地图时,根据地图对收集的数据进行处理,以获得每个空间单元与色调和颜色强度相关的预选地点的图像。 提供软件和数据处理系统来开发校准图。 校准图和预选地点的图像也是新颖的实现。
    • 10. 发明申请
    • METHOD AND APPARATUS FOR COMPUTER-AIDED DIAGNOSIS OF CANCER AND PRODUCT
    • 用于计算机辅助诊断癌症和产品的方法和装置
    • US20100142786A1
    • 2010-06-10
    • US12598801
    • 2008-05-16
    • Hadassa DeganiErez Eyal
    • Hadassa DeganiErez Eyal
    • G06K9/00
    • G06K9/00214A61B5/055A61B5/7267G06K2209/051G06T7/0012G06T2207/10096G06T2207/20081G06T2207/30068G06T2207/30096G06T2207/30104
    • Method and apparatus performing dynamic contrast-enhanced-magnetic resonance imaging on tissue to obtain a plurality of datasets of images. Principal component analysis is performed on each dataset to obtain a covariance matrix and its corresponding eigenvalues and eigenvectors and produce a common base of eigenvectors. The dominant eigenvectors that are not associated with instrumental and random noise, commonly the 2nd eigen-state and the 3rd eigenvectors, or the 1st and 2nd eigen vectors, are correlated with the physiological relevant parameters of the 3TP method to obtain a hybrid method. The fusion of the eigenvectors with the 3TP parameters is dictating a rotation of the two relevant eigenvectors to obtain new rotated eigenvectors that serve to calculate new projection coefficient maps of the rotated eigenvectors for the imaged tissue indicative of physiological relevant parameters reflecting wash-out and wash-in patterns that detect abnormal tissue and distinguishes between cancerous and benign tumors. Computer-readable medium containing program instructions for carrying out the above.
    • 在组织上进行动态对比增强磁共振成像以获得多个图像数据的方法和装置。 在每个数据集上执行主成分分析,以获得协方差矩阵及其对应的特征值和特征向量,并产生特征向量的公共基础。 与工具和随机噪声无关的主要特征向量与通常的第二特征状态和第三特征向量或第一和第二特征向量相关联,与3TP方法的生理相关参数相关,以获得混合方法。 特征向量与3TP参数的融合决定了两个相关特征向量的旋转,以获得新的旋转特征向量,其用于计算针对成像组织的旋转特征向量的新投影系数图,其指示反映洗出和洗涤的生理相关参数 - 检测异常组织并区分癌性和良性肿瘤的模式。 包含用于执行上述的程序指令的计算机可读介质。