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    • 6. 发明申请
    • COMPUTER-AIDED DETECTION (CAD) OF A DISEASE
    • 疾病的计算机辅助检测(CAD)
    • US20100266173A1
    • 2010-10-21
    • US12741837
    • 2008-11-06
    • Cristian LorenzJens Von BergThomas BuelowRafael Wiemker
    • Cristian LorenzJens Von BergThomas BuelowRafael Wiemker
    • G06K9/00
    • 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 is advantageous in that more efficient computations can be performed because the degree of analysis 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.
    • 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, 肺肿瘤,来自成像模态(例如MRI或CT)的医学图像数据集(20)。 最初,使用解剖模型执行医学图像数据集(20)的分割。 其次,对分割的数据进行分析,得到一组分析数据(25),最后分析数据集(25)正在评估疾病。 这些步骤中的至少一个包括用于疾病的位置依赖概率(P_r)作为输入。 本发明的优点在于,可以执行更有效的计算,因为患者部分的某个区域中的分析程度,例如, 肺,可以根据该区域的疾病概率进行调整或调整。 从而可以增加计算速度,从而可以从医学图像分析中更有效地发现像癌症,特别是肺中的癌症结节之类的疾病。
    • 8. 发明授权
    • Identifying abnormal tissue in images of computed tomography
    • 识别计算机断层扫描图像中的异常组织
    • US08892188B2
    • 2014-11-18
    • US11815973
    • 2006-02-03
    • Thomas BuelowRafael WiemkerCristian LorenzSteffen RenischThomas Blaffert
    • Thomas BuelowRafael WiemkerCristian LorenzSteffen RenischThomas Blaffert
    • A61B6/03G06T7/00G06K9/34A61B6/00
    • G06T7/0012A61B6/032A61B6/481A61B6/5217G06T5/50G06T7/10G06T7/12G06T7/149G06T2207/10081G06T2207/10116G06T2207/30061G06T2207/30064G06T2207/30101
    • An imaging method for identifying abnormal tissue in the lung is provided, comprising the recording of slice images of the lung by means of X-ray radiation, recording of blood vessels, differentiation of blood vessels and abnormal tissue, segmentation of the abnormal tissue and display of the segmented abnormal tissue on an output device. In addition, a computer tomograph for identifying abnormal tissue in the lung is provided, having a radiation source for recording slice images of the lung and blood vessels by means of X-ray radiation, a computer unit for differentiating the blood vessels from the abnormal tissue and for segmenting the abnormal tissue, as well as an output device for displaying the segmented abnormal tissue. Furthermore, a computer program is provided for controlling a computer tomograph for an identification of abnormal tissue in the lung by means of a radiation source, designed to record slice images of the lung and blood vessels by means of X-ray radiation, to differentiate the blood vessels from abnormal tissue, to segment the abnormal tissue and to control an output device for displaying the abnormal tissue.
    • 提供了一种用于鉴定肺中异常组织的成像方法,包括通过X射线照射记录肺的切片图像,记录血管,血管和异常组织的分化,异常组织的分割和显示 的输出装置上的分段异常组织。 另外,提供了一种用于识别肺中的异常组织的计算机断层摄影机,具有用于通过X射线辐射记录肺和血管的切片图像的辐射源,用于将血管与异常组织分离的计算机单元 并且用于分割异常组织,以及用于显示分段的异常组织的输出装置。 此外,提供了一种计算机程序,用于通过辐射源来控制用于识别肺中的异常组织的计算机断层摄影机,其被设计成通过X射线辐射记录肺和血管的切片图像,以区分 来自异常组织的血管,分割异常组织并控制用于显示异常组织的输出装置。
    • 10. 发明申请
    • Identifying Abnormal Tissue in Images of Computed Tomography
    • 识别计算机断层扫描图像中的异常组织
    • US20080269598A1
    • 2008-10-30
    • US11815973
    • 2006-02-03
    • Thomas BuelowRafael WiemkerCristian LorenzSteffen RenischThomas Blaffert
    • Thomas BuelowRafael WiemkerCristian LorenzSteffen RenischThomas Blaffert
    • A61B5/05G06K9/00
    • G06T7/0012A61B6/032A61B6/481A61B6/5217G06T5/50G06T7/10G06T7/12G06T7/149G06T2207/10081G06T2207/10116G06T2207/30061G06T2207/30064G06T2207/30101
    • An imaging method for identifying abnormal tissue in the lung is provided, comprising the recording of slice images of the lung by means of X-ray radiation, recording of blood vessels, differentiation of blood vessels and abnormal tissue, segmentation of the abnormal tissue and display of the segmented abnormal tissue on an output device. In addition, a computer tomograph for identifying abnormal tissue in the lung is provided, having a radiation source for recording slice images of the lung and blood vessels by means of X-ray radiation, a computer unit for differentiating the blood vessels from the abnormal tissue and for segmenting the abnormal tissue, as well as an output device for displaying the segmented abnormal tissue. Furthermore, a computer program is provided for controlling a computer tomograph for an identification of abnormal tissue in the lung by means of a radiation source, designed to record slice images of the lung and blood vessels by means of X-ray radiation, to differentiate the blood vessels from abnormal tissue, to segment the abnormal tissue and to control an output device for displaying the abnormal tissue.
    • 提供了一种用于鉴定肺中异常组织的成像方法,包括通过X射线照射记录肺的切片图像,记录血管,血管和异常组织的分化,异常组织的分割和显示 的输出装置上的分段异常组织。 另外,提供了一种用于识别肺中的异常组织的计算机断层摄影机,具有用于通过X射线辐射记录肺和血管的切片图像的辐射源,用于将血管与异常组织分离的计算机单元 并且用于分割异常组织,以及用于显示分段的异常组织的输出装置。 此外,提供了一种计算机程序,用于通过辐射源来控制用于识别肺中的异常组织的计算机断层摄影机,其被设计成通过X射线辐射记录肺和血管的切片图像,以区分 来自异常组织的血管,分割异常组织并控制用于显示异常组织的输出装置。