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    • 1. 发明授权
    • Method and device for the automatic contrast medium phase classification of image data
    • 图像数据自动造影剂相分类的方法和装置
    • US08693757B2
    • 2014-04-08
    • US12320247
    • 2009-01-22
    • Lutz Gündel
    • Lutz Gündel
    • G06K9/00
    • G06F17/30265A61B6/032A61B6/481A61B6/484G06F19/00G06F19/321G06T7/0012G06T2207/10072G06T2207/30004G16H10/60
    • A method is disclosed for the automatic contrast medium phase classification of at least one image data record, of the interior of an examination object, generated by way of an imaging system. In at least one embodiment of the method, firstly at least one image data record of the examination object is acquired and metadata associated with the image data record are determined, the metadata including at least one of body region data containing information about a body region of the examination object that is covered by the image data record, and/or measurement time data containing information about a measurement time of the image data record and/or high contrast data containing information about highly contrasty image areas in the image data record. The assignment of the image data record to a contrast medium phase is effected, in at least one embodiment, in a manner dependent on the metadata. Furthermore, a description is given of a corresponding image data record classification device and an imaging system including such an image data record classification device.
    • 公开了一种用于通过成像系统生成的检查对象内部的至少一个图像数据记录的自动造影剂相位分类的方法。 在该方法的至少一个实施例中,首先获取检查对象的至少一个图像数据记录,并且确定与图像数据记录相关联的元数据,该元数据包括至少一个体区域数据,其包含有关身体区域的信息 由图像数据记录覆盖的检查对象和/或包含关于图像数据记录的测量时间的信息的测量时间数据和/或包含关于图像数据记录中的高对比度图像区域的信息的高对比度数据。 在至少一个实施例中,以取决于元数据的方式实现图像数据记录到造影剂相位的分配。 此外,给出了对应的图像数据记录分类装置和包括这种图像数据记录分类装置的成像系统的描述。
    • 4. 发明授权
    • Medical diagnostic and data processing system
    • 医疗诊断和数据处理系统
    • US08111884B2
    • 2012-02-07
    • US11790762
    • 2007-04-27
    • Lutz Gündel
    • Lutz Gündel
    • G06K9/00
    • A61B90/36A61B6/12A61B34/10G06F19/00
    • A medical diagnostic and data processing system is disclosed. The system includes, in at least one embodiment, an arithmetic logic unit and an imaging diagnostic device that can be connected to the latter for data purposes, and a data memory in which data describing anatomical structures including lymph nodes are stored. The arithmetic logic unit is set up programmatically in such a way to produce an automatic assignment between a lymph node recorded by way of the imaging diagnostic device and data describing the lymph node that are stored in the data memory.
    • 公开了一种医疗诊断和数据处理系统。 该系统在至少一个实施例中包括算术逻辑单元和成像诊断装置,其可以连接到后者用于数据目的,以及数据存储器,其中存储描述包括淋巴结的解剖结构的数据。 算术逻辑单元以这样的方式被设置为在通过成像诊断装置记录的淋巴结和描述存储在数据存储器中的淋巴结的数据之间产生自动分配。
    • 5. 发明授权
    • Apparatus for automatically detecting salient features in medical image data
    • 用于自动检测医学图像数据中显着特征的装置
    • US07933436B2
    • 2011-04-26
    • US11498799
    • 2006-08-04
    • Lutz GündelDaniel Rinck
    • Lutz GündelDaniel Rinck
    • G06K9/00G06K9/62G06K9/46A61B5/103G09G5/00
    • A61B6/032G06F19/00G06T7/0012G06T2207/30004
    • An apparatus is disclosed for automatically detecting salient features in medical image data. The apparatus includes a memory device for storing the image data, at least one determination module for determining one or more anatomical regions which are acquired by the image data, a number of different examination modules that respectively include an application for automatically detecting specific salient features in a specific anatomical region, an input unit via which a primary application can be started, a control unit that on the basis of the anatomical regions determined by the determination module automatically selects and executes in the background further applications, as well as an output unit on which the result of the primary application is displayed together with an item of information relating to additional salient features that have been detected automatically with the aid of the applications executed in the background. The apparatus improves the diagnostic evaluation of medical image data.
    • 公开了一种用于自动检测医学图像数据中的显着特征的装置。 该装置包括用于存储图像数据的存储装置,用于确定由图像数据获取的一个或多个解剖区域的至少一个确定模块,分别包括用于自动检测特定显着特征的应用的多个不同检查模块 特定解剖区域,可以启动主要应用的输入单元,控制单元,其基于由所述确定模块确定的解剖区域在后台自动选择并执行其他应用,以及输出单元, 主要应用的结果以及与在背景中执行的应用的帮助自动检测的附加突出特征的信息项一起显示。 该装置改善了医学图像数据的诊断评估。
    • 10. 发明授权
    • Method and apparatus for embolism analysis
    • 栓塞分析方法与装置
    • US07583829B2
    • 2009-09-01
    • US11202801
    • 2005-08-12
    • Atilla Peter KiralyCarol L. NovakLutz Gündel
    • Atilla Peter KiralyCarol L. NovakLutz Gündel
    • G06K9/00
    • G06T7/0012A61B6/507G06T7/11G06T7/187G06T7/62G06T2207/10081G06T2207/20101G06T2207/30101
    • Disclosed is an automated technique for analyzing the affected region due to an embolism in an organ. A segmented image of the organ vasculature is generated using image volume data received, for example, from a Computed Tomography (CT) machine. An embolus is then identified (either manually or automatically) within the segmented image, and the volume of the organ affected by the embolism is automatically determined. The volume of the organ affected by the embolism may be determined by computing a sub-tree within the segmented image, where the sub-tree comprises vessels that are distal to the identified embolus point. In one embodiment, the sub-tree is generated by determining a plane perpendicular to a vessel at the embolus point such that the sub-tree comprises a distal portion of the vasculature with respect to the plane. Unwanted overlapping trees are identified (e.g., by analyzing branch angles) and removed from the sub-tree. The volume of the organ affected by the embolism is determined by calculating a volume of the organ that is perfused by the sub-tree. The affected volume may be adjusted by scaling the volume based on the percentage occlusion of the partial embolus.
    • 公开了一种用于分析由于器官栓塞引起的受影响区域的自动化技术。 使用例如从计算机断层扫描(CT)机器接收的图像体积数据生成器官血管系统的分割图像。 然后在分割图像中识别(手动或自动)栓塞,并自动确定受栓塞影响的器官的体积。 由栓塞影响的器官的体积可以通过计算分割图像内的子树来确定,其中子树包括远离所识别的栓塞点的血管。 在一个实施例中,通过确定在栓塞点处垂直于血管的平面来产生子树,使得子树相对于平面包括脉管系统的远端部分。 识别不需要的重叠树(例如,通过分析分支角度)并从子树中移除。 通过计算由子树灌注的器官的体积来确定受栓子影响的器官的体积。 可以通过根据部分栓塞的百分比阻塞来缩放体积来调整受影响的体积。