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    • 61. 发明申请
    • METHOD AND DEVICE FOR POST-PROCESSING MEASURED VALUES REGISTERED BY WAY OF AN IMAGING SYSTEM
    • 用于后处理通过成像系统方式记录的测量值的方法和装置
    • US20110007953A1
    • 2011-01-13
    • US12827275
    • 2010-06-30
    • Dominik BernhardtMichael Scheuering
    • Dominik BernhardtMichael Scheuering
    • G06K9/00
    • G06T11/206A61B6/503A61B6/507
    • A method is disclosed for post-processing measured values of a tissue region including at least part of a heart, which measured values were registered by way of an imaging system. In at least one embodiment, the method includes at least: generating an at least three-dimensional data record from the measured values; analyzing the at least three-dimensional data record and generating parameter maps in respect of at least two of the following parameters: thickness and/or change in thickness of a myocardial wall, movement of the myocardial wall, local blood-supply values for defined spatial regions of the heart; automatically generating a results parameter map on the basis of the generated parameter maps according to fixed rules; and outputting the results parameter map. Moreover, at least one embodiment of the invention relates to a correspondingly designed device.
    • 公开了一种用于后处理包括至少部分心脏的组织区域的测量值的方法,该测量值通过成像系统登记。 在至少一个实施例中,该方法至少包括:从测量值生成至少三维数据记录; 分析所述至少三维数据记录并针对以下参数中的至少两个生成参数图:心肌壁的厚度和/或厚度变化,心肌壁的运动,用于定义的空间的局部血液供应值 心脏地区 根据固定规则,根据生成的参数图自动生成结果参数图; 并输出结果参数图。 此外,本发明的至少一个实施例涉及相应设计的装置。
    • 62. 发明授权
    • Method for segmenting anatomical structures from 3D image data by using topological information
    • 通过使用拓扑信息从3D图像数据分割解剖结构的方法
    • US07783091B2
    • 2010-08-24
    • US11220665
    • 2005-09-08
    • Daniel RinckMichael Scheuering
    • Daniel RinckMichael Scheuering
    • G06K9/00
    • G06T7/11G06T2207/10081G06T2207/20101G06T2207/30101
    • A method is disclosed for segmenting anatomical structures, in particular the coronary vessel tree, from 3D image data. In the method, a starting point is initially set in the 3D image data, and at least one known anatomically significant point and/or at least one known anatomically significant surface are/is identified in the 3D image data. Subsequently, proceeding from the starting point the structure is subsequently segmented pixel by pixel with the aid of a multiplicity of segmentation steps in such a way that an instantaneous distance is determined automatically relative to the anatomically significant point and/or to the anatomically significant surface in each segmentation step. Further, segmentation parameters and/or a selection of adjacent pixels for continuing the segmentation are/is established as a function of the distance, taking account of a model topology. The method enables an accurate and reliable segmentation of the anatomical structure.
    • 公开了一种从3D图像数据分割解剖结构,特别是冠状动脉血管树的方法。 在该方法中,起始点最初设置在3D图像数据中,并且在3D图像数据中识别至少一个已知的解剖学有意义的点和/或至少一个已知的解剖学有意义的表面。 随后,从起点开始,随后借助于多个分割步骤逐渐地将结构分割结构,使得相对于解剖学上有意义的点和/或解剖学上有意义的表面自动确定瞬时距离,并且/ 每个细分步骤。 此外,考虑到模型拓扑,建立分割参数和/或用于继续分割的相邻像素的选择作为距离的函数。 该方法能够对解剖结构进行准确可靠的分割。
    • 66. 发明申请
    • Method for identification of a contrasted blood vessel in digital image data
    • 用于识别数字图像数据中的对比血管的方法
    • US20070047792A1
    • 2007-03-01
    • US11506884
    • 2006-08-21
    • Michael ScheueringMichael Suhling
    • Michael ScheueringMichael Suhling
    • G06K9/00
    • G06T7/11G06T2207/30101
    • A method is disclosed for identification of a contrasted blood vessel in digital 3D image data. The method includes: a) one image voxel, which is associated with the blood vessel, in the 3D image data is selected as a seed point, b) a current threshold value for the intensity of image voxels is selected as the intensity of the seed point, and the seed point is associated with the threshold value, c) a test criterion for finding new seed points is used to search for new seed points in the image voxels which are adjacent to the seed point, and are associated with specific threshold values as a function of their intensities and the current threshold value, d) step c) is repeated until no further seed points can be found with the current threshold value, e) the seed points which have been found are stored as vessel voxels associated with that blood vessel, and are associated with the current threshold value, f) the current threshold value is reduced, g) steps c) to f) are repeated until a termination criterion is satisfied, h) the blood vessel is identified as the set of all vessel voxels in the image data, in which prior knowledge exists, on the basis of which a corresponding method step specifically linked to the blood vessel to be identified can lead to incorrect identification, and at least one of the method steps a) to h) is modified or extended, taking into account the prior knowledge.
    • 公开了一种用于识别数字3D图像数据中的对比血管的方法。 该方法包括:a)选择3D图像数据中与血管相关联的一个图像体素作为种子点,b)选择图像体素的强度的当前阈值作为种子的强度 点,并且种子点与阈值相关联,c)用于找到新种子点的测试标准用于搜索与种子点相邻的图像体素中的新种子点,并且与特定阈值相关联 作为它们的强度和当前阈值的函数,d)重复步骤c),直到不能用当前阈值找到另外的种子点,e)已经发现的种子点被存储为与该相关联的血管体素 血管,并与当前阈值相关联,f)当前阈值减小,g)重复步骤c)至f),直到满足终止标准为止,h)将血管识别为全部 船只v 在其中存在现有知识的图像数据中,基于此,与要识别的血管特异性连接的对应方法步骤可导致不正确的识别,并且方法步骤a)至h)中的至少一个是 修改或扩展,考虑到先前的知识。
    • 67. 发明申请
    • Method for visualization of plaque deposits from 3D image data records of vessel structures
    • 从血管结构的3D图像数据记录中观察斑块沉积的方法
    • US20060171585A1
    • 2006-08-03
    • US11220667
    • 2005-09-08
    • Daniel RinckMichael Scheuering
    • Daniel RinckMichael Scheuering
    • G06K9/34
    • G06T19/00A61B6/481A61B6/504G06T7/0012G06T7/12G06T2207/10081G06T2207/20044G06T2207/30101G06T2210/41
    • A method is disclosed for visualization of plaque deposits from 3D image data records of vessel structures, in particular of the coronary vascular system, in which at least one predeterminable section of the vessel structure with the plaque deposits is segmented in the 3D image data record in order to obtain segmented 3D image data. A synthetic 3D model image of the at least one section of the vessel structure and of the plaque deposits is produced from the segmented image data, and includes only boundary surfaces of the vessel structure and of the plaque deposits. The synthetic 3D model image is produced by three-dimensional interpolation between pixels which are associated with boundary surfaces of the vessel structure, and between pixels which are associated with boundary surfaces of the plaque deposits in order to obtain a uniform grid at pixels for the 3D model image. Finally, the synthetic 3D model image or a partial volume of it is visualized. The method allows a vessel section with plaque deposits to be visualized better for evaluation.
    • 公开了用于从血管结构,特别是冠状动脉血管系统的3D图像数据记录中显示斑块沉积物的方法,其中具有斑块沉积的血管结构的至少一个可预定部分在3D图像数据记录中被分割 以获得分割的3D图像数据。 从分割图像数据产生血管结构和斑块沉积物的至少一个部分的合成3D模型图像,并且仅包括血管结构和斑块沉积物的边界表面。 合成3D模型图像通过与血管结构的边界表面相关联的像素之间的三维内插以及与斑块沉积物的边界表面相关联的像素之间的三维内插来产生,以便在3D的像素处获得均匀的网格 模型图像。 最后,合成3D模型图像或其部分体积可视化。 该方法允许具有斑块沉积物的血管部分被更好地可视化以用于评估。
    • 68. 发明申请
    • Method for segmentation of anatomical structures from 4D image data records
    • 从4D图像数据记录中分割解剖结构的方法
    • US20060159322A1
    • 2006-07-20
    • US11220666
    • 2005-09-08
    • Daniel RinckMichael Scheuering
    • Daniel RinckMichael Scheuering
    • G06K9/00G06K9/34
    • A61B6/504A61B6/481G06T7/11G06T2207/10076G06T2207/30101
    • A method is disclosed for segmentation of anatomical structures, in particular of the coronary vascular system, from a sequence of 3D image data records recorded in a time sequence, in which the anatomical structure is first of all segmented from a first of the 3D image data records. In the method, during the segmentation of the anatomical structure, search areas of the segmentation are restricted and/or segmentation parameters associated with the three-dimensional relationships from the other 3D image data records are used, on the basis of known spatial conditions of the structure to be segmented, with respect to anatomical objects which are located in the surrounding area and of results of the segmentation from a respective next 3D image data record in the sequence from which the structure has already been segmented. This makes it possible to considerably speed up the segmentation of the anatomical structures from the overall 4D image data record, and to carry out the process with increased reliability.
    • 公开了一种从时间序列中记录的3D图像数据记录序列分割解剖结构,特别是冠状动脉血管系统的方法,其中解剖结构首先从第一3D图像数据分割 记录。 在该方法中,在解剖结构的分割期间,基于已知的空间条件,限制分割的搜索区域和/或与来自其他3D图像数据记录的三维关系相关联的分割参数 关于位于周围区域的解剖学对象的分割结构以及从结构已被分割的序列中的相应的下一个3D图像数据记录的分割结果。 这使得可以从4D图像数据记录中显着加快解剖结构的分割,并且以可靠性增加来进行该过程。