公开(公告)号：US08542894B2

公开(公告)日：2013-09-24

申请号：US12827275

申请日：2010-06-30

申请人： Dominik Bernhardt ,  Michael Scheuering

发明人： Dominik Bernhardt ,  Michael Scheuering

IPC分类号： G06K9/00

CPC分类号： G06T11/206 ,  A61B6/503 ,  A61B6/507

摘要： 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.

摘要翻译： 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。

公开(公告)号：US08150119B2

公开(公告)日：2012-04-03

申请号：US12319686

申请日：2009-01-09

申请人： Yefeng Zheng ,  Bogdan Georgescu ,  Michael Scheuering ,  Dorin Comaniciu

发明人： Yefeng Zheng ,  Bogdan Georgescu ,  Michael Scheuering ,  Dorin Comaniciu

IPC分类号： G06K9/34 ,  G06T15/00

CPC分类号： G06K9/34 ,  G06K2209/051 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/10081 ,  G06T2207/20124 ,  G06T2207/30048

摘要： A method and system for left ventricle (LV) endocardium surface segmentation using constrained optimal mesh smoothing is disclosed. The LV endocardium surface in the 3D cardiac volume is initially segmented in a 3D cardiac volume, such as a CT volume, resulting in an LV endocardium surface mesh. A smoothed LV endocardium surface mesh is generated by smoothing the LV endocardium surface mesh using constrained optimal mesh smoothing. The constrained optimal mesh smoothing determines an optimal adjustment for each point on the LV endocardium surface mesh by minimizing an objective function based at least on a smoothness measure, subject to a constraint bounding the adjustment for each point. The adjustment for each point can be constrained to prevent adjustments inward toward the blood pool in order to ensure that the smoothed LV endocardium surface mesh encloses the entire blood pool.

摘要翻译： 公开了使用约束最优网格平滑的左心室（LV）心内膜表面分割的方法和系统。 3D心脏体积中的LV心内膜表面最初在3D心脏体积（例如CT体积）中分段，导致LV心内膜表面网。 通过使用约束最优网格平滑平滑LV心内膜表面网格来生成平滑的LV心内膜表面网格。 受约束的最优网格平滑通过使至少基于平滑度量度的目标函数最小化来限制LV心内膜表面网格上的每个点的最佳调整，受限于对每个点的调整。 可以限制每个点的调整以防止向血液向内的调节，以确保平滑的LV心内膜表面网格包围整个血液池。

公开(公告)号：US07945080B2

公开(公告)日：2011-05-17

申请号：US11335617

申请日：2006-01-20

申请人： Daniel Rinck ,  Michael Scheuering

发明人： Daniel Rinck ,  Michael Scheuering

IPC分类号： G06K9/00 ,  A61B6/00

CPC分类号： G06T19/20 ,  A61B6/481 ,  A61B6/503 ,  A61B6/504 ,  G06T7/0012 ,  G06T7/12 ,  G06T7/149 ,  G06T11/206 ,  G06T2207/10081 ,  G06T2207/30048 ,  G06T2210/41 ,  G06T2219/2012

摘要： A method is disclosed for visualizing damage in the myocardium. In such a method, CT image data of the heart are made available which were recorded with injection of contrast medium. The myocardium is isolated by segmentation from the CT image data. One or more views of the isolated myocardium are displayed on an image display device, density values being visualized with color coding in the display. At least one embodiment of the method permits visualization of damage of the myocardium based on CT image data, in which damaged areas of the myocardium can immediately be identified without time-consuming analysis.

摘要翻译： 公开了一种可视化心肌损伤的方法。 在这种方法中，可以使用注射造影剂记录心脏的CT图像数据。 通过CT图像数据的分割来分离心肌。 孤立心肌的一个或多个视图被显示在图像显示装置上，在显示器中用颜色编码显现浓度值。 该方法的至少一个实施方案允许基于CT图像数据观察心肌的损伤，其中可以立即识别心肌的损伤区域而不耗时的分析。

公开(公告)号：US07817831B2

公开(公告)日：2010-10-19

申请号：US11506884

申请日：2006-08-21

申请人： Michael Scheuering ,  Michael Sühling

发明人： Michael Scheuering ,  Michael Sühling

IPC分类号： G06K9/00

CPC分类号： G06T7/11 ,  G06T2207/30101

摘要： A method is disclosed for identification of a contrasted blood vessel in digital 3D image data, the method using a generic region-growing algorithm with several steps, for which among other things seed points are searched for and, in dependence on a current threshold value, are assigned to corresponding seed point sets. The number of seed points which are associated during a specific section of the method to the same seed point set with the threshold value is recorded and a leakage signal is produced if the number exceeds a maximum value. When the leakage signal occurs, those seed points which have been associated with the threshold value during that section are not stored as vessel voxels, the method is terminated at the location of the leakage and the remaining method is continued.

摘要翻译： 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，该方法使用具有几个步骤的通用区域生长算法，其中搜索种子点，并且根据当前阈值， 被分配给相应的种子集。 记录在该方法的特定部分中与设置有阈值的相同种子点相关联的种子点的数量，并且如果该数量超过最大值，则产生泄漏信号。 当发生泄漏信号时，在该部分中与阈值相关联的那些种子点不作为血管体素存储，该方法在泄漏的位置终止，并且继续剩余方法。

公开(公告)号：US20090304251A1

公开(公告)日：2009-12-10

申请号：US12471761

申请日：2009-05-26

申请人： Yefeng Zheng ,  Bogdan Georgescu ,  Haibin Ling ,  Michael Scheuering ,  Dorin Comaniciu

发明人： Yefeng Zheng ,  Bogdan Georgescu ,  Haibin Ling ,  Michael Scheuering ,  Dorin Comaniciu

IPC分类号： G06K9/00

CPC分类号： G06K9/3233 ,  G06K2209/051 ,  G06T7/75 ,  G06T2207/10081 ,  G06T2207/30004

摘要： A method and apparatus for detecting 3D anatomical objects in medical images using constrained marginal space learning (MSL) is disclosed. A constrained search range is determined for an input medical image volume based on training data. A first trained classifier is used to detect position candidates in the constrained search range. Position-orientation hypotheses are generated from the position candidates using orientation examples in the training data. A second trained classifier is used to detect position-orientation candidates from the position-orientation hypotheses. Similarity transformation hypotheses are generated from the position-orientation candidates based on scale examples in the training data. A third trained classifier is used to detect similarity transformation candidates from the similarity transformation hypotheses, and the similarity transformation candidates define the position, translation, and scale of the 3D anatomic object in the medical image volume.

摘要翻译： 公开了一种使用受限边际空间学习（MSL）检测医学图像中3D解剖学对象的方法和装置。 基于训练数据确定输入医学图像体积的约束搜索范围。 第一训练分类器用于检测约束搜索范围内的位置候选。 使用训练数据中的取向示例从位置候选者生成位置取向假设。 第二训练分类器用于从位置定向假设检测位置方向候选。 基于训练数据中的比例示例，从位置定位候选生成相似度转换假设。 第三训练分类器用于从相似变换假设检测相似变换候选，并且相似变换候选定义医学图像体积中的3D解剖对象的位置，平移和比例。

公开(公告)号：US20090297010A1

公开(公告)日：2009-12-03

申请号：US12453950

申请日：2009-05-28

申请人： Dominik Fritz ,  Michael Scheuering ,  Johann Uebler

发明人： Dominik Fritz ,  Michael Scheuering ,  Johann Uebler

IPC分类号： G06K9/00

CPC分类号： G06T19/00 ,  A61B5/02007 ,  A61B5/489 ,  A61B6/466 ,  A61B8/483 ,  G06T7/64 ,  G06T2207/10072 ,  G06T2207/20044 ,  G06T2207/20096 ,  G06T2207/30101 ,  G06T2210/41 ,  G06T2219/008

摘要： A method and an apparatus are disclosed for visualizing tubular anatomical structures, in particular vessel structures, in medical 3D image records. The method according to at least one embodiment of the invention includes: providing 3D image data of the tubular anatomical structure; determining a centerline of the tubular anatomical structure in the 3D image data; selecting a point of the centerline; generating a 2D slice image assigned to the point, the 2D slice image representing a sectional plane in the 3D image data, which sectional plane is arranged relative to a section of the centerline, including the point and a prescribable section start point and section end point of the section, such that an orthogonal distance from the sectional plane for each centerline point of the section is less than or equal to a prescribed value R, the value R being selected to be greater than a value Rkrit, and Rkrit specifying the value for which precisely one such sectional plane can be determined; and visually displaying the 2D slice image.

摘要翻译： 公开了用于在医学3D图像记录中可视化管状解剖结构，特别是血管结构的方法和装置。 根据本发明的至少一个实施例的方法包括：提供管状解剖结构的3D图像数据; 确定3D图像数据中的管状解剖结构的中心线; 选择中心线的一点; 生成分配给所述点的2D切片图像，所述2D切片图像表示所述3D图像数据中的截面，所述切片平面相对于所述中心线的部分布置，所述切片平面包括所述点和可规定部分的起始点和截面终点 使得与截面的每个中心线点的截面的正交距离小于或等于规定值R，值R被选择为大于值Rkrit，并且Rkrit指定该值 可精确地确定一个这样的截面; 并可视地显示2D切片图像。

公开(公告)号：US20090295801A1

公开(公告)日：2009-12-03

申请号：US12453949

申请日：2009-05-28

申请人： Dominik Fritz ,  Michael Scheuering ,  Johann Uebler

发明人： Dominik Fritz ,  Michael Scheuering ,  Johann Uebler

IPC分类号： G06T17/40

CPC分类号： G06T19/003 ,  G06T7/12 ,  G06T2207/10072 ,  G06T2207/20012 ,  G06T2207/20044 ,  G06T2207/20104 ,  G06T2207/30101 ,  G06T2207/30172 ,  G06T2210/41

摘要： A method is disclosed for visualizing tubular anatomical structures, in particular vessel structures, in medical 3D image records. In at least one embodiment, the method includes the following: firstly, providing 3D image data of the tubular anatomical structure; secondly, displaying a first image of the tubular anatomical structure on the basis of the 3D image data; thirdly, selecting an image voxel which is assigned to the tubular structure in the 3D image data on the basis of the first image; fourthly, determining a centerline of the tubular anatomical structure in a prescribably delimited region of the 3D image data comprising the image voxel; fifthly, selecting a point of the centerline; sixthly, generating one or more 2D slice images assigned to the point, the 2D slice images in each case representing a sectional plane in the 3D image data; and seventhly, displaying the 2D slice images.

摘要翻译： 公开了用于在医学3D图像记录中可视化管状解剖结构，特别是血管结构的方法。 在至少一个实施例中，该方法包括以下步骤：首先提供管状解剖结构的3D图像数据; 其次，基于3D图像数据显示管状解剖结构的第一图像; 第三，基于第一图像选择分配给3D图像数据中的管状结构的图像体素; 第四，确定在包括图像体素的3D图像数据的规定限定的区域中的管状解剖结构的中心线; 第五，选择中心线的一点; 第六，生成分配给该点的一个或多个2D切片图像，每个情况下的2D切片图像表示3D图像数据中的截面; 第七，显示2D切片图像。

公开(公告)号：US20080317318A1

公开(公告)日：2008-12-25

申请号：US12213744

申请日：2008-06-24

申请人： Michael Scheuering ,  Fernando Vega-Higuera

发明人： Michael Scheuering ,  Fernando Vega-Higuera

IPC分类号： G06K9/00

CPC分类号： A61B6/032 ,  A61B6/466 ,  A61B6/503 ,  A61B6/5223 ,  G06T7/0012 ,  G06T7/10 ,  G06T15/08 ,  G06T2207/10081 ,  G06T2207/20224 ,  G06T2207/30048 ,  G06T2207/30101

摘要： A method and a workstation are disclosed for visualizing a three-dimensional image data record having a multiplicity of voxels of a heart of a patient, recorded with the aid of an x-ray CT examination carried out with contrast agent present in the bloodstream. In at least one embodiment, the method includes saving the CT image data record including a multiplicity of voxels defined by absorption values, determining the voxels associated with the chamber of the heart by segmenting the chambers of the heart filled with blood containing the contrast agent, removing the image information from the voxels associated with the chambers of the heart, calculating a two-dimensional virtual projection from the remaining CT image data record, and displaying the virtual two-dimensional projection.

摘要翻译： 公开了一种方法和工作站，用于通过利用存在于血流中的造影剂进行的X射线CT检查来记录具有患者心脏的多个体素的三维图像数据记录。 在至少一个实施例中，该方法包括保存包括由吸收值定义的多个体素的CT图像数据记录，通过分割填充有含有造影剂的血液的心脏室来确定与心脏腔室相关联的体素， 从与心脏室相关联的体素去除图像信息，从剩余CT图像数据记录计算二维虚拟投影，以及显示虚拟二维投影。

公开(公告)号：US20080262814A1

公开(公告)日：2008-10-23

申请号：US12082143

申请日：2008-04-09

申请人： Yefeng Zheng ,  Adrian Barbu ,  Bogdan Georgescu ,  Michael Lynch ,  Michael Scheuering ,  Dorin Comaniciu

发明人： Yefeng Zheng ,  Adrian Barbu ,  Bogdan Georgescu ,  Michael Lynch ,  Michael Scheuering ,  Dorin Comaniciu

IPC分类号： G06G7/60

CPC分类号： G06F19/3437 ,  G06F19/00 ,  G06F19/34 ,  G06T2207/30048 ,  G16H50/50

摘要： A method and system for building a statistical four-chamber heart model from 3D volumes is disclosed. In order to generate the four-chamber heart model, each chamber is modeled using an open mesh, with holes at the valves. Based on the image data in one or more 3D volumes, meshes are generated and edited for the left ventricle (LV), left atrium (LA), right ventricle (RV), and right atrium (RA). Resampling to enforce point correspondence is performed during mesh editing. Important anatomic landmarks in the heart are explicitly represented in the four-chamber heart model of the present invention.

摘要翻译： 公开了一种用于从3D体积构建统计四室心脏模型的方法和系统。 为了产生四腔心脏模型，每个腔室都使用开放的网格进行建模，在阀门处有孔。 基于一个或多个3D体积中的图像数据，为左心室（LV），左心房（LA），右心室（RV）和右心房（RA）生成并编辑网格。 在网格编辑期间执行重新采样以强制点对应。 在本发明的四腔心脏模型中明确地表示心脏中的重要解剖学标志。

公开(公告)号：US07039226B2

公开(公告)日：2006-05-02

申请号：US10119161

申请日：2002-04-09

申请人： Gerold Herold ,  Michael Scheuering

发明人： Gerold Herold ,  Michael Scheuering

IPC分类号： G06K9/00

CPC分类号： A61B8/00 ,  A61B5/055 ,  A61B5/11 ,  A61B6/00 ,  A61B8/5238 ,  G06F19/00 ,  G06F19/321 ,  G16H50/50

摘要： In an apparatus and a method for modeling momentary conditions of a medical object dependent on at least one time-variable body function, at least one further status value of the time-variable body function is calculated on the basis of the geometry of the medical object that is acquired from data obtained with a medical imaging method for at least one status value of the time-variable body function, and the geometry of the medical object is made available approximately synchronously with the currently measured status value of the time-variable body function.