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    • 43. 发明申请
    • Computer-aided detection of lung nodules
    • 计算机辅助检测肺结节
    • US20060050939A1
    • 2006-03-09
    • US10535465
    • 2003-11-12
    • Rafael Wiemker
    • Rafael Wiemker
    • G06K9/00
    • G06T7/0012G06T7/11G06T2207/10081G06T2207/30064
    • The invention relates to a method and a device for forming an image of body structures from an image data set, notably for highlighting potential nodular structures (KI; KA) in a lung. The problem to be solved by the invention is to achieve automatic highlighting of potential nodular structures in methods of this kind. This is realized in that in a plurality of steps a binary data set is formed in which all pixels present in the image data set are subdivided into pixels to be marked and those not to be marked, a first filtering operation being performed in which for each pixel (D) there is determined a distance value which corresponds to the shortest distance between the pixel and the edge (KAG) of the image structure (KA) in which the pixel is situated, those pixels being selected from the binary data set whose distance value is below a predetermined distance limit value, there being performed a second filtering operation in which those previously selected pixels remain selected which are directly neighbored by two pixels having a smaller distance value in both directions of at least one straight line which extends through the pixel, there being performed a third filtering operation in which those previously selected pixels remain selected for which the surrounding pixels, being situated at a distance corresponding to the distance value of the pixel, have a distance value which is a predetermined distance difference value smaller than the distance value of the pixel to be tested itself, the pixels thus selected being used to form an image in which the selected pixels are highlighted.
    • 本发明涉及一种用于从图像数据集形成身体结构图像的方法和装置,特别是用于突出肺中的潜在结节结构(KI; KA)。 本发明要解决的问题是在这种方法中实现潜在的结节结构的自动突出。 这是由于在多个步骤中形成二进制数据集,其中存在于图像数据集中的所有像素被细分为要标记的像素和不被标记的像素,执行第一滤波操作,其中对于每个 像素(D)确定与像素所在的图像结构(KA)的像素和边缘(KAG)之间的最短距离相对应的距离值,那些像素选自二进制数据集,其距离 值在预定的距离限制值以下,执行第二滤波操作,其中先前选择的像素保持选择,其中至少一条直线延伸穿过该像素的两个方向上具有较小距离值的两个像素直接相邻 执行了第三次滤波操作,其中先前选择的像素保持选择,周围像素位于其间 对应于像素的距离值的距离值具有小于被测试像素本身的距离值的预定距离差值的距离值,所选择的像素被用于形成其中所选择的像素为 突出显示。
    • 48. 发明授权
    • Quantitative perfusion analysis
    • 定量灌注分析
    • US09406146B2
    • 2016-08-02
    • US13380610
    • 2010-06-23
    • Rafael WiemkerThomas Buelow
    • Rafael WiemkerThomas Buelow
    • G06K9/00G06T7/40G06T7/20G06T7/00
    • G06T7/401G06T7/0016G06T7/20G06T7/41G06T2207/10096G06T2207/20104G06T2207/30104
    • A system is disclosed for quantitative analysis of perfusion images comprising image elements having intensity values associated therewith. The system comprises a frequency distribution computing subsystem (1) for computing a plurality of frequency distributions of the intensity values of at least part of the images. The system comprises a perfusion information extractor (2) for extracting information relating to perfusion from the plurality of frequency distributions. The perfusion information extractor (2) comprises a shift detector (3) for detecting a shift of the intensity values of the frequency distribution. The perfusion information extractor (2) is arranged for extracting the information relating to perfusion, based on the detected shift. A user interface element (8) enables a user to indicate a boundary between the core region and the rim region by a single degree of freedom. A vesselness subsystem (9) associates a vesselness value with an image element.
    • 公开了一种用于定量分析包括具有与其相关联的强度值的图像元素的灌注图像的系统。 该系统包括用于计算至少部分图像的强度值的多个频率分布的频率分布计算子系统(1)。 该系统包括用于从多个频率分布中提取与灌注相关的信息的灌注信息提取器(2)。 灌注信息提取器(2)包括用于检测频率分布的强度值的偏移的移位检测器(3)。 灌注信息提取器(2)被布置为基于检测到的移位来提取与灌注有关的信息。 用户界面元件(8)使得用户能够通过单个自由度来指示核心区域和边缘区域之间的边界。 容器子系统(9)将容器值与图像元素相关联。
    • 49. 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。
    • 50. 发明授权
    • Segmenting pulmonary arteries
    • 分段肺动脉
    • US08805044B2
    • 2014-08-12
    • US12937289
    • 2009-04-14
    • Thomas BuelowRafael Wiemker
    • Thomas BuelowRafael Wiemker
    • G06K9/00
    • G06T7/162G06T7/33G06T2207/10081G06T2207/20016G06T2207/20072G06T2207/30061G06T2207/30101
    • A method of identifying at least part of a pulmonary artery tree (402) comprises receiving (102) a bronchial tree structure (500) and receiving (104) a pulmonary vessel structure (400). A pair of a first bronchial segment (602) and a first vessel segment (604) is identified (106), wherein the first bronchial segment and the first vessel segment are adjacent with respect to position and orientation. The first vessel segment is identified (108) as arterial segment of the pulmonary artery tree. A spatial transformation is applied (110) such that the first bronchial segment and the first vessel segment substantially coincide (602′). Respective further vessel segments (606, 608) are identified (112) adjacent to bronchial segments (610, 612), wherein the bronchial segments are comprised in the bronchial tree.
    • 识别肺动脉树(402)的至少一部分的方法包括接收(102)支气管树结构(500)并接收(104)肺血管结构(400)。 识别出一对第一支气管段(602)和第一血管段(604)(106),其中第一支气管区段和第一血管区段相对于位置和取向相邻。 识别第一血管段(108)作为肺动脉树的动脉段。 应用空间变换(110)使得第一支气管段和第一血管段基本上重合(602')。 识别与支气管段(610,612)相邻的另外的血管段(606,608),其中支气管段包括在支气管树中。