会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Image processing apparatus
    • 图像处理装置
    • US08934697B2
    • 2015-01-13
    • US13988770
    • 2011-11-22
    • Rafael WiemkerThomas BuelowMartin BergtholdtKirsten MeetzIngwer-Curt Carlsen
    • Rafael WiemkerThomas BuelowMartin BergtholdtKirsten MeetzIngwer-Curt Carlsen
    • G06K9/00G06K9/32G06T11/60G06T11/00
    • G06T11/60G06T11/00
    • Image processing apparatus (100) for creating an overlaid presentation of a first input image (101) and a second input image (102) in an output image (108), the first input image comprising input values, the output image comprising vectors of output values, the vectors of output values representing colors of the output image, and the apparatus comprising an input (110) for obtaining the first input put image and the second input image, a rendering unit (140) configured for rendering the first input image in the output image by using a first mapping function for representing the input values in the vectors of output values, a predictor (120) configured for predicting the second input image from the first input image for obtaining a predicted second input image (104), a residual calculator (130) configured for calculating a residual image (106) from the second input image and the predicted second input image, the residual image comprising residual values representing prediction errors of the predicted second input image, and the rendering unit being further configured for rendering the residual image in the output image by using a second mapping function for representing the residual values in the vectors of output values, the second mapping function being different from the first mapping function for distinguishing the residual image from the first input image.
    • 用于在输出图像(108)中创建第一输入图像(101)和第二输入图像(102)的叠加呈现的图像处理装置(100),所述第一输入图像包括输入值,所述输出图像包括输出矢量 值,表示输出图像的颜色的输出值的矢量,以及包括用于获得第一输入放映图像和第二输入图像的输入(110)的装置,被配置为将第一输入图像呈现在 通过使用用于表示输出值的向量中的输入值的第一映射函数的输出图像,配置用于从第一输入图像预测第二输入图像以获得预测的第二输入图像的预测器(120), 剩余计算器(130),被配置为从所述第二输入图像和所述预测的第二输入图像计算残差图像(106),所述残差图像包括表示预测误差的残差值 所述预测的第二输入图像和所述绘制单元还被配置为通过使用用于表示所述输出值的向量中的残差的第二映射函数来呈现所述输出图像中的残差图像,所述第二映射函数不同于所述第一映射 用于区分残差图像与第一输入图像的功能。
    • 2. 发明授权
    • Automated hierarchical splitting of anatomical trees
    • 解剖树自动分层分裂
    • US08315963B2
    • 2012-11-20
    • US12304784
    • 2007-06-11
    • Rafael WiemkerThomas BuelowRoland Opfer
    • Rafael WiemkerThomas BuelowRoland Opfer
    • G06F17/00G06N5/00
    • G06T7/0012G06T7/11G06T2207/10072G06T2207/20156G06T2207/30061G06T2207/30101
    • A method for splitting a dataset relating to an anatomical tree structure (12) comprises establishing a plurality of seed points (24) within the tree structure; establishing a length of a path (20) along the tree structure from each of the plurality of seed points (24) to each of a plurality of other points (14); establishing a Euclidean distance (26) from each of the plurality of seed points (24) to each of the plurality of other points (14); associating with the seed point (24) a measure representing a likelihood that the seed point is the root point in dependence on the established lengths (20) and distances (26); identifying the root point of the tree structure (12) as the seed point (24) associated with a maximum measure representing the likelihood that the respective seed point is the root point; and establishing the principal bifurcation point (64) in dependence on the root point.
    • 一种用于分割与解剖树结构(12)相关的数据集的方法包括在所述树结构内建立多个种子点(24); 沿着所述树结构建立从所述多个种子点(24)中的每一个到多个其它点(14)中的每一个的路径(20)的长度; 将所述多个种子点(24)中的每一个的欧几里德距离(26)建立到所述多个其他点(14)中的每个; 与种子点(24)相关联,该度量表示根据建立的长度(20)和距离(26)种子点是根点的可能性; 将所述树结构(12)的根点识别为与表示各个种子点是根点的可能性的最大量度相关联的种子点(24); 并根据根点建立主要分岔点(64)。
    • 3. 发明申请
    • SYSTEM AND METHOD FOR DETERMINING A PROPERTY OF BLUR IN A BLURRED IMAGE
    • 用于确定蓝图中的红色属性的系统和方法
    • US20120163694A1
    • 2012-06-28
    • US13496496
    • 2010-09-15
    • Rafael WiemkerThomas BuelowSteffen Renisch
    • Rafael WiemkerThomas BuelowSteffen Renisch
    • G06K9/00
    • G06T7/0002G06T5/003G06T7/70G06T2207/10104G06T2207/20201G06T2207/30004
    • A system and a method of determining a property of blur in an image are provided. According to other aspects a medical image acquisition apparatus, a medical workstation and a computer program product are provided. The system (100) comprises a receiver (102) for receiving the image of an object-of-interest of a body. The image comprises blur. Further, the system comprises a determining subsystem (122) for determining a value of a characteristic of the blur in the image on individual lines of a plurality of lines intersecting with the object-of-interest at different angles. Thus, the lines extend in different directions. The determination of the value comprises analyzing the image along the respective lines. The system further comprises an obtaining subsystem (126) for obtaining a direction in which the value of the characteristic of the blur is maximal, based on the determined values on the individual lines of the plurality of lines, which lines extend in different directions.
    • 提供了一种确定图像中的模糊属性的系统和方法。 根据其他方面,提供医学图像采集装置,医疗工作站和计算机程序产品。 系统(100)包括用于接收身体感兴趣物体的图像的接收器(102)。 图像包括模糊。 此外,该系统包括确定子系统(122),用于确定与不同角度的与感兴趣物体相交的多条线上的各行上的图像中的模糊特征的值。 因此,线在不同的方向延伸。 该值的确定包括分析沿着各行的图像。 该系统还包括获取子系统(126),用于根据在多条线路上的各条线路上确定的值来获得模糊特征值最大的方向,这些线路在不同方向上延伸。
    • 5. 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。
    • 6. 发明申请
    • APPARATUS AND METHOD FOR INDICATING LIKELY COMPUTER-DETECTED FALSE POSITIVES IN MEDICAL IMAGING DATA
    • 在医学成像数据中显示计算机检测到的假阳性的装置和方法
    • US20100002922A1
    • 2010-01-07
    • US12519799
    • 2007-12-14
    • Rafael WiemkerRoland OpferThomas Buelow
    • Rafael WiemkerRoland OpferThomas Buelow
    • G06K9/00
    • G06T7/0012G06T2207/30061
    • A data structure for use by a computer system (5) for processing medical image data and representing at least one first region of a patient (8) including at least one computer-detected feature of interest is disclosed. The data structure comprises a first computer code that is executable to detect first data representing at least one second region included within a respective first region. At least one said feature of interest in said second region has a significant likelihood of representing a computer-detected false positive. The second computer code is executable to provide second data for enabling at least one said first region to be displayed on a display device, such that at least one said second region is displayed on the display apparatus differently from part of said first region not containing features of interest having a significant likelihood of representing computer-detected false positives.
    • 公开了一种由计算机系统(5)用于处理医学图像数据并且代表包括至少一个计算机检测到的感兴趣特征的患者(8)的至少一个第一区域的数据结构。 数据结构包括第一计算机代码,其可执行以检测表示包括在相应的第一区域内的至少一个第二区域的第一数据。 所述第二区域中至少一个所述感兴趣的特征具有表示计算机检测到的假阳性的显着可能性。 第二计算机代码可执行以提供第二数据,用于使至少一个所述第一区域能够显示在显示设备上,使得至少一个所述第二区域不显示在所述显示设备上,不同于所述第一区域的不包含特征 具有代表计算机检测到的误报的显着可能性。
    • 8. 发明授权
    • Interactive image analysis
    • 交互式图像分析
    • US09483844B2
    • 2016-11-01
    • US13806301
    • 2011-06-28
    • Rafael WiemkerThomas BuelowSebastian Peter Michael Dries
    • Rafael WiemkerThomas BuelowSebastian Peter Michael Dries
    • G06T7/60G06F19/00
    • G06T7/60G06F19/00G06F19/321
    • An interactive image analysis system includes an image visualization subsystem (1) for visualizing an image (8). An indicated position determiner (2) is arranged for determining an indicated position of a pointing device with respect to the image(8). A result determiner (3) is arranged for determining a result of a local image processing of the image (8) at the indicated position. A display subsystem (4) displays either at least part of the result of the local image processing (406) or a visible mark (407), based on the image processing result. The result of the local image processing is indicative of the presence or absence of an object (403) at or near the indicated position (404, 405), and the display subsystem (4) is arranged for displaying the visible mark (407) in the absence of such an object (403) at or near the indicated position (405).
    • 交互式图像分析系统包括用于可视化图像(8)的图像可视化子系统(1)。 指示位置确定器(2)被布置用于确定指示设备相对于图像(8)的指示位置。 结果确定器(3)被布置用于确定在所指示的位置处的图像(8)的局部图像处理的结果。 显示子系统(4)基于图像处理结果显示局部图像处理(406)的结果的至少一部分或可见标记(407)。 本地图像处理的结果表示在指示位置(404,405)处或附近存在或不存在对象(403),并且显示子系统(4)被布置用于将显示标记(407)显示在 在指示位置(405)处或附近没有这样的物体(403)。