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    • 2. 发明申请
    • SYSTEM AND METHOD FOR PROCESSING MEDICAL IMAGES
    • 用于处理医学图像的系统和方法
    • WO2010029470A1
    • 2010-03-18
    • PCT/IB2009/053837
    • 2009-09-03
    • KONINKLIJKE PHILIPS ELECTRONICS N.V.PHILIPS INTELLECTUAL PROPERTY & STANDARDS GMBHDRIES, Sebastian, P., M.LORENZ, Cristian
    • DRIES, Sebastian, P., M.LORENZ, Cristian
    • G06F19/00
    • G06F19/321G06F19/00G06T7/38G06T2207/30004
    • The invention provides a system, e.g. a Picture Archiving and Communications System (PACS), and a method for identifying the presence of relevant medical images, e.g. medical images ofthe same region of interest or anatomical feature(s) of the same patient, taken at a different time or by a different acquisition modality. The system ofthe invention notifies a user on the presence of any such relevant image, and is arranged for presenting such relevant images on a display. Two or more medical images may be displayed at the same time or one after the other, overlaid, by sliding a space or time axis, etc. The medical images are scaled and orientated so as to maximize the visual correlation between them, i.e. to make them exhibit the anatomy the most possible alike, so as to ease comparison between anatomical features without disturbing diagnostically relevant contrasts on the medical images.
    • 本发明提供了一种系统,例如 图像存档和通信系统(PACS),以及用于识别相关医学图像的存在的方法,例如, 相同患者的相同区域或解剖特征的医学图像在不同的时间或不同的采集模式下进行。 本发明的系统通知用户存在任何这样的相关图像,并被布置为在显示器上呈现这样的相关图像。 可以通过滑动空间或时间轴等来同时或一个接一个地显示两个或更多个医学图像。医学图像被缩放和定向以使它们之间的视觉相关性最大化,即,使 他们展现出最可能的解剖学,以便简化解剖特征之间的比较,而不会扰乱医学图像上的诊断相关的对比度。
    • 8. 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。