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1. 发明授权

US07356173B2 Analysis of pulmonary CT data 有权
标题翻译：肺CT数据分析
公开(公告)号：US07356173B2
公开(公告)日：2008-04-08
申请号：US10560321
申请日：2004-05-08
申请人： Rafael Wiemker , Thomas Blaffert , Vladimir Pekar
发明人： Rafael Wiemker , Thomas Blaffert , Vladimir Pekar
IPC分类号： G06K9/00
CPC分类号： G06T7/0012
摘要： Ground glass opacities in the lung are non-solid nebular-like shadows in the parenchyma tissue of the lung, which may be precursors of a lung cancer. According to the present invention, ground glass opacities may automatically be determined on the basis of a texture analysis of the parenchyma. Advantageously, according to the present invention, a robust and reliable determination of ground glass opacities may be provided, even if vessels, lung walls, airspace or bronchi walls are present within the local neighborhood of the ground glass opacity.
摘要翻译：肺中的玻璃不透明度是肺实质组织中非固体的星状样阴影，可能是肺癌的前体。根据本发明，可以根据实质的纹理分析自动确定研磨玻璃的不透明度。有利地，根据本发明，即使在玻璃不透明度的局部邻域内存在容器，肺壁，空气或支气管壁，也可以提供坚实可靠的磨玻璃不透明度测定。

2. 发明申请

US20070098242A1 Analysis of pulmonary ct data 有权
标题翻译：肺ct数据分析
公开(公告)号：US20070098242A1
公开(公告)日：2007-05-03
申请号：US10560321
申请日：2004-05-28
申请人： Rafael Wiemker , Thomas Blaffert , Vladimir Pekar
发明人： Rafael Wiemker , Thomas Blaffert , Vladimir Pekar
IPC分类号： G06K9/00
CPC分类号： G06T7/0012
摘要： Ground glass opacities in the lung are non-solid nebular-like shadows in the parenchyma tissue of the lung, which may be precursors of a lung cancer. According to the present invention, ground glass opacities may automatically be determined on the basis of a texture analysis of the parenchyma. Advantageously, according to the present invention, a robust and reliable determination of ground glass opacities may be provided, even if vessels, lung walls, airspace or bronchi walls are present within the local neighborhood of the ground glass opacity.
摘要翻译：肺中的玻璃不透明度是肺实质组织中非固体的星状样阴影，可能是肺癌的前体。根据本发明，可以根据实质的纹理分析自动确定研磨玻璃的不透明度。有利地，根据本发明，即使在玻璃不透明度的局部邻域内存在容器，肺壁，空气或支气管壁，也可以提供坚实可靠的磨玻璃不透明度测定。

3. 发明授权

US09757588B2 Deformable registration of images for image guided radiation therapy 有权
公开(公告)号：US09757588B2
公开(公告)日：2017-09-12
申请号：US12300339
申请日：2007-05-01
申请人： Michael Kaus , Vladimir Pekar , Rafael Wiemker
发明人： Michael Kaus , Vladimir Pekar , Rafael Wiemker
IPC分类号： G06Q10/00 , A61N5/10 , A61B6/00 , G06Q50/22 , G06T7/33 , G06T7/38 , A61B5/00 , A61B6/03 , A61B8/00 , G06F19/00
CPC分类号： A61N5/103 , A61B5/7285 , A61B6/03 , A61B6/466 , A61B6/541 , A61B8/543 , A61N5/1037 , A61N2005/1061 , G06F19/00 , G06F19/321 , G06F19/3481 , G06Q50/22 , G06T7/33 , G06T7/38 , G06T2207/30004 , G16H50/50
摘要： A system and method for developing radiation therapy plans and a system and method for developing a radiation therapy plan to be used in a radiation therapy treatment is disclosed. A radiation therapy plan is developed using a registration of medical images. The registration is based on identifying landmarks located within inner body structures.

4. 发明授权

US07970189B2 Method of automatic extraction of the pulmonary artery tree from 3D medical images 有权
标题翻译：从3D医学图像自动提取肺动脉树的方法
公开(公告)号：US07970189B2
公开(公告)日：2011-06-28
申请号：US11815662
申请日：2006-02-06
申请人： Thomas Buelow , Rafael Wiemker , Thomas Blaffert , Cristian Lorenz , Steffen Renisch
发明人： Thomas Buelow , Rafael Wiemker , Thomas Blaffert , Cristian Lorenz , Steffen Renisch
IPC分类号： G06K9/00
CPC分类号： G06T7/155 , G06T7/11 , G06T7/149 , G06T2200/04 , G06T2207/10081 , G06T2207/20044 , G06T2207/20156 , G06T2207/30061 , G06T2207/30101
摘要： An automated method (1) for the automatic extraction of a pulmonary vessel tree from a 3D medical image, such as multi-slice CT data, is disclosed. A segmented pulmonary vessel is identified as either an artery or a vein by determining a measure for arterialness for the vessel. The measure is based on a relation of the orientation of a local bronchus to the orientation of the segmented pulmonary vessel of the local bronchus. When a vessel is identified as a pulmonary artery, it is added to the pulmonary artery tree. Radii of the pulmonary artery and bronchus are measured automatically and positions where a ratio of these radii exhibits unusual values are presented in a display, preferably for suggesting further assessment by a radiologist, which for instance is useful for pulmonary embolism detection.
摘要翻译：公开了一种用于从诸如多层CT数据的3D医学图像自动提取肺血管树的自动化方法（1）。通过确定血管动脉的测量，将分段的肺血管识别为动脉或静脉。该措施基于局部支气管的取向与局部支气管的分段肺血管的取向的关系。当血管被识别为肺动脉时，将其加入肺动脉树。自动测量肺动脉和支气管的半径，并且在显示中呈现这些半径的比率显示出异常值的位置，优选用于暗示例如用于肺栓塞检测的放射科医师的进一步评估。

5. 发明申请

US20100149214A1 RENDERING A VIEW FROM AN IMAGE DATASET 有权
标题翻译：从图像数据库渲染视图
公开(公告)号：US20100149214A1
公开(公告)日：2010-06-17
申请号：US12063111
申请日：2006-08-10
申请人： Rafael Wiemker , Thomas Buelow , Thomas Blaffert
发明人： Rafael Wiemker , Thomas Buelow , Thomas Blaffert
IPC分类号： G09G5/00
CPC分类号： G06T19/00 , G06T2210/41 , G06T2219/008
摘要： The invention relates to a rendering system (100) for rendering a view from an image dataset, the rendering system comprising a selecting unit (110) for selecting a subset of the image dataset, a computing unit (120) for computing a first principal axis of a tensor on the basis of the subset of the image dataset, and a rendering unit (130) for rendering the view on the basis of the first principal axis. Using the information about the directionality and orientation of a structure, comprised in the selected subset of the image dataset and extracted from the first principal axis of the tensor, the rendering system (100) is arranged to effectively assist the user in selecting an advantageous view from the image dataset.
摘要翻译：本发明涉及一种用于从图像数据集呈现视图的渲染系统（100），所述绘制系统包括用于选择所述图像数据集的子集的选择单元（110），用于计算第一主轴的计算单元（120）基于所述图像数据集的子集的张量，以及用于基于所述第一主轴渲染所述视图的渲染单元（130）。使用包括在所述图像数据集的所选择的子集中并从所述张量的所述第一主轴提取的结构的方向性和取向的信息，所述呈现系统（100）被布置为有效地帮助所述用户选择有利视图从图像数据集。

6. 发明授权

US07636484B2 Method for the selective rendering of body structures 有权
标题翻译：选择性渲染身体结构的方法
公开(公告)号：US07636484B2
公开(公告)日：2009-12-22
申请号：US10533648
申请日：2003-11-12
申请人： Thomas Blaffert , Rafael Wiemker
发明人： Thomas Blaffert , Rafael Wiemker
IPC分类号： G06K9/40 , G06K9/00 , G06K9/70 , G06K9/44 , G06T5/00
CPC分类号： G06K9/469 , G06K2209/05 , G06T7/11 , G06T17/005 , G06T19/20 , G06T2207/10081 , G06T2207/20152 , G06T2207/30008 , G06T2207/30101 , G06T2210/41 , G06T2219/2012
摘要： A method provided for the formation of a selective rendering of body structures of an object to be examined from a primary image data set. The method provides a simple and fast selection or deselection of given body structures. The method comprises the following steps: forming at least one pixel group (BG1-BG16) which comprises pixels from the primary data set which are in conformity with predetermined filter criteria, forming at least one pixel list by selection and/or deselection of at least one pixel group in conformity with predetermined criteria, marking the pixels of the pixel groups of the at least one pixel list, forming a filtered secondary image data set which includes the marked pixels, and forming the rendering from the secondary image data set, the marked pixels being separately rendered in highlighted or suppressed form.
摘要翻译：一种提供用于从主图像数据集形成要检查的对象的身体结构的选择性渲染的方法。该方法提供给定身体结构的简单且快速的选择或取消选择。该方法包括以下步骤：形成至少一个像素组（BG1-BG16），其包括来自主数据集的符合预定过滤标准的像素，通过至少选择和/或取消选择形成至少一个像素列表符合预定标准的一个像素组，标记所述至少一个像素列表的像素组的像素，形成包括标记像素的滤波次级图像数据集，以及从次要图像数据集合形成渲染，标记像素以突出显示或抑制形式单独渲染。

7. 发明申请

US20090187422A1 DEFORMABLE REGISTRATION OF IMAGES FOR IMAGE GUIDED RADIATION THERAPY 有权
标题翻译：图像引导辐射治疗图像的可变注册
公开(公告)号：US20090187422A1
公开(公告)日：2009-07-23
申请号：US12300339
申请日：2007-05-01
申请人： Michael Kaus , Vladimir Pekar , Rafael Wiemker
发明人： Michael Kaus , Vladimir Pekar , Rafael Wiemker
IPC分类号： G06Q50/00 , G06K9/00
CPC分类号： A61N5/103 , A61B5/7285 , A61B6/03 , A61B6/466 , A61B6/541 , A61B8/543 , A61N5/1037 , A61N2005/1061 , G06F19/00 , G06F19/321 , G06F19/3481 , G06Q50/22 , G06T7/33 , G06T7/38 , G06T2207/30004 , G16H50/50
摘要： A system and method for developing radiation therapy plans and a system and method for developing a radiation therapy plan to be used in a radiation therapy treatment is disclosed. A radiation therapy plan is developed using a registration of medical images. The registration is based on identifying landmarks located within inner body structures.
摘要翻译：公开了一种用于制定放射治疗计划的系统和方法以及用于制定放射疗法治疗中使用的放射治疗计划的系统和方法。使用医学图像的注册开发放射治疗计划。注册基于识别位于内部身体结构内的地标。

8. 发明申请

US20100128940A1 METHOD OF AUTOMATIC EXTRACTION OF THE PULMONARY ARTERY TREE FROM 3D MEDICAL IMAGES 有权
标题翻译：从三维医学图像中自动提取脉络膜的方法
公开(公告)号：US20100128940A1
公开(公告)日：2010-05-27
申请号：US11815662
申请日：2006-02-06
申请人： Thomas Buelow , Rafael Wiemker , Thomas Blaffert , Cristian Lorenz , Steffen Renisch
发明人： Thomas Buelow , Rafael Wiemker , Thomas Blaffert , Cristian Lorenz , Steffen Renisch
IPC分类号： G06K9/62
CPC分类号： G06T7/155 , G06T7/11 , G06T7/149 , G06T2200/04 , G06T2207/10081 , G06T2207/20044 , G06T2207/20156 , G06T2207/30061 , G06T2207/30101
摘要： An automated method (1) for the automatic extraction of a pulmonary vessel tree from a 3D medical image, such as multi-slice CT data, is disclosed. A segmented pulmonary vessel is identified as either an artery or a vein by determining a measure for arterialness for the vessel. The measure is based on a relation of the orientation of a local bronchus to the orientation of the segmented pulmonary vessel of the local bronchus. When a vessel is identified as a pulmonary artery, it is added to the pulmonary artery tree. Radii of the pulmonary artery and bronchus are measured automatically and positions where a ratio of these radii exhibits unusual values are presented in a display, preferably for suggesting further assessment by a radiologist, which for instance is useful for pulmonary embolism detection.
摘要翻译：公开了一种用于从诸如多层CT数据的3D医学图像自动提取肺血管树的自动化方法（1）。通过确定血管动脉的测量，将分段的肺血管识别为动脉或静脉。该措施基于局部支气管的取向与局部支气管的分段肺血管的取向的关系。当血管被识别为肺动脉时，将其加入肺动脉树。自动测量肺动脉和支气管的半径，并且在显示中呈现这些半径的比率显示出异常值的位置，优选用于暗示例如用于肺栓塞检测的放射科医师的进一步评估。

9. 发明授权

US09092886B2 Rendering a view from an image dataset 有权
标题翻译：从图像数据集渲染视图
公开(公告)号：US09092886B2
公开(公告)日：2015-07-28
申请号：US12063111
申请日：2006-08-10
申请人： Rafael Wiemker , Thomas Buelow , Thomas Blaffert
发明人： Rafael Wiemker , Thomas Buelow , Thomas Blaffert
IPC分类号： G06K9/00 , G06T19/00
CPC分类号： G06T19/00 , G06T2210/41 , G06T2219/008
摘要： The invention relates to a rendering system (100) for rendering a view from an image dataset, the rendering system comprising a selecting unit (110) for selecting a subset of the image dataset, a computing unit (120) for computing a first principal axis of a tensor on the basis of the subset of the image dataset, and a rendering unit (130) for rendering the view on the basis of the first principal axis. Using the information about the directionality and orientation of a structure, comprised in the selected subset of the image dataset and extracted from the first principal axis of the tensor, the rendering system (100) is arranged to effectively assist the user in selecting an advantageous view from the image dataset.
摘要翻译：本发明涉及一种用于从图像数据集呈现视图的渲染系统（100），所述绘制系统包括用于选择所述图像数据集的子集的选择单元（110），用于计算第一主轴的计算单元（120）基于所述图像数据集的子集的张量，以及用于基于所述第一主轴渲染所述视图的渲染单元（130）。使用包括在所述图像数据集的所选择的子集中并从所述张量的所述第一主轴提取的结构的方向性和取向的信息，所述呈现系统（100）被布置为有效地帮助所述用户选择有利视图从图像数据集。

10. 发明授权

US08045769B2 Planar angular visualization of the bronchial tree 有权
标题翻译：支气管树的平面角度可视化
公开(公告)号：US08045769B2
公开(公告)日：2011-10-25
申请号：US11719549
申请日：2005-11-21
申请人： Rafael Wiemker , Thomas Blaffert , Thomas Buelow
发明人： Rafael Wiemker , Thomas Blaffert , Thomas Buelow
IPC分类号： G06K9/00 , A61B6/00
CPC分类号： G06T7/11 , G06T2207/10081 , G06T2207/30101
摘要： A system (20) an image acquisition device, an image workstation, computer-readable medium and method for visualizing an anatomical tree structure is disclosed. The anatomical tree structure is segmented from a three-dimensional image set of at least a portion of a body. A planar angular visualization of the anatomical tree structure is then determined. The planar angular visualization of the anatomical tree structure is then displayed. Since the displayed anatomical tree structure has no occlusions or intersections of segments, the anatomical tree is much easier to read which facilitates subsequent automated or manual diagnosis of the tree for anomalies.
摘要翻译：公开了一种用于可视化解剖学树结构的图像获取装置，图像工作站，计算机可读介质和方法的系统（20）。解剖树结构从身体的至少一部分的三维图像集分割。然后确定解剖学树结构的平面角度可视化。然后显示解剖树结构的平面角度可视化。由于显示的解剖树结构没有遮挡物或切片的交叉点，所以解剖树比较容易阅读，这有助于随后的自动或手动诊断树的异常。

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