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    • 3. 发明申请
    • COMPUTER-AIDED DETECTION (CAD) OF A DISEASE
    • 一种疾病的计算机辅助检测(CAD)
    • WO2009063363A2
    • 2009-05-22
    • PCT/IB2008/054632
    • 2008-11-06
    • KONINKLIJKE PHILIPS ELECTRONICS N.V.PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBHLORENZ, CristianVON BERG, JensBUELOW, ThomasWIEMKER, Rafael
    • LORENZ, CristianVON BERG, JensBUELOW, ThomasWIEMKER, Rafael
    • G06T7/00
    • G06T7/0012G06T7/11G06T2200/24G06T2207/10072G06T2207/30061
    • The present invention relates to a method for performing computer-aided detection (CAD) of a disease, e.g. lung tumours, on a medical image data set (20) from a imaging modality, such as MRI or CT. Initially, there is perform a segmentation of the medical image data set (20) using an anatomical model. Secondly, the segmented data is analyzed for characteristics of the disease resulting in a set of analysis data (25), and finally the set of analysis data (25) is evaluating with respect to the disease. At least one of these steps comprises as an input a position dependent probability (P_r) for the disease. The invention isadvantageous in that more efficient computations can be performed because the degree ofanalysis in a certain region of the part of the patient, e.g. the lung, can be adjusted or tailored to the level of probability of the disease in the that region. It is thereby possible to increase computational speed and thereby diseases like cancer, in particular cancer nodules in the lungs, can be more effectively found from medical image analysis.
    • 用于执行疾病的计算机辅助检测(CAD)的方法技术领域本发明涉及用于执行疾病的计算机辅助检测(CAD)的方法。 (例如MRI或CT)的医学图像数据组(20)上的肺肿瘤。 最初,使用解剖模型执行医学图像数据集(20)的分割。 其次,对分段数据进行分析,以获得一组分析数据(25),最后分析数据集(25)针对该疾病进行评估。 这些步骤中的至少一个包括疾病的位置依赖概率(P_r)作为输入。 本发明的有利之处在于可以进行更有效的计算,因为患者部分的某个区域的分析程度,例如, 肺,可以调整或适应该地区疾病的概率水平。 因此可以提高计算速度,从而可以从医学图像分析中更加有效地发现诸如癌症的疾病,特别是肺部的癌症结节。
    • 9. 发明申请
    • PREDICTION OF CARDIAC SHAPE BY A MOTION MODEL
    • 运动模型预测心脏形态
    • WO2008004171A2
    • 2008-01-10
    • PCT/IB2007/052559
    • 2007-07-02
    • PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBHKONINKLIJKE PHILIPS ELECTRONICS N.V.VON BERG, JensLORENZ, Cristian
    • VON BERG, JensLORENZ, Cristian
    • G06T7/00G06T7/20A61B5/00
    • G06T7/33G06T7/20G06T2207/10072G06T2207/30048
    • The invention relates to a system (100) for propagating a model mesh based on a first mean model mesh and on a second mean model mesh, the system comprising: a registration unit (110) for computing a registration transformation for registering the first model mesh with the first mean model mesh; a forward transformation unit (120) for transforming the model mesh into a registered model mesh using the registration transformation; a computation unit (130) for computing a propagation field for propagating the registered model mesh, the propagation field comprising vectors of displacements of vertices of the second mean model mesh relative to respective vertices of the first mean model mesh; a propagation unit (140) for transforming the registered model mesh into the propagated registered model mesh based on applying the vertex displacement vectors comprised in the propagation field to respective vertices of the registered model mesh; and an inverse transformation unit (150) for transforming the propagated registered model mesh into the propagated model mesh using the inverse of the registration transformation, thereby propagating the model mesh. Using the propagation field comprising vectors of displacements of vertices of the second mean model mesh relative to respective vertices of the first mean model mesh improves modeling motion of anatomical shapes. Advantageously, the propagation field of vertex displacement vectors is straightforward to compute and to apply.
    • 本发明涉及一种用于基于第一平均模型网格和第二平均模型网格传播模型网格的系统(100),该系统包括:注册单元(110),用于计算用于注册第一模型网格的注册变换 用第一个平均模型网格; 用于使用所述注册变换将模型网格变换为注册模型网格的正向变换单元(120) 计算单元(130),用于计算用于传播所述注册的模型网格的传播场,所述传播场包括相对于所述第一平均模型网格的相应顶点的所述第二平均模型网格的顶点的位移的向量; 传播单元,用于通过将包含在传播场中的顶点位移矢量应用于注册的模型网格的各顶点,将登记的模型网格变换为传播的注册模型网格; 以及逆变换单元(150),用于使用所述配准变换的逆来将所述传播的注册模型网格变换为所述传播的模型网格,从而传播所述模型网格。 使用包括第二平均模型网格的顶点的位移矢量相对于第一平均模型网格的各个顶点的传播场改进了解剖形状的建模运动。 有利地,顶点位移矢量的传播场是直接计算和应用的。