公开(公告)号：US20080253635A1

公开(公告)日：2008-10-16

申请号：US10597566

申请日：2005-01-24

申请人： Lothar Spies ,  Celine Saint Olive ,  Michael Kaus ,  Vladimir Pekar ,  Himanshu P. Shukla

发明人： Lothar Spies ,  Celine Saint Olive ,  Michael Kaus ,  Vladimir Pekar ,  Himanshu P. Shukla

IPC分类号： G06T11/00

CPC分类号： G06T11/008 ,  G06T2211/424

摘要： A reconstruction processor (34) reconstructs acquired projection data (S) into an uncorrected reconstructed image (T). A classifying algorithm (66) classifies pixels of the uncorrected reconstructed image (T) at least into metal, bone, tissue, and air pixel classes. A clustering algorithm (60) iteratively assigns pixels to best fit classes. A pixel replacement algorithm (70) replaces metal class pixels of the uncorrected reconstructed image (T) with pixel values of the bone density class to generate a metal free image. A morphological algorithm (80) applies prior knowledge of the subject's anatomy to the metal free image to correct the shapes of the class regions to generate a model tomogram image. A forward projector (88) forward projects the model tomogram image to generate model projection data (Smodel). A corrupted rays identifying algorithm (100) identifies the rays in the original projection data (S) which lie through the regions containing metal objects. A corrupted rays replacement algorithm (102) replaces the corrupted regions with corresponding regions of the model projection data to generate corrected projection data (S). The reconstruction processor (34) reconstructs the corrected projection data (S) into a corrected reconstructed 3D image (T′).

摘要翻译： 重建处理器（34）将所获取的投影数据（S）重建成未校正的重建图像（T）。 分类算法（66）至少将未校正的重建图像（T）的像素分类为金属，骨骼，组织和空气像素类。 聚类算法（60）迭代地将像素分配给最佳拟合类。 像素替换算法（70）用未被校正的重建图像（T）的金属类像素替换骨密度类别的像素值，以产生无金属图像。 形态学算法（80）将受试者解剖学的先验知识应用于无金属图像，以校正类别区域的形状以产生模型断层图像。 前向投影仪（88）向前投影模型断层图像以产生模型投影数据（S 模型）。 损坏的光线识别算法（100）识别穿过包含金属物体的区域的原始投影数据（S）中的光线。 损坏的光线替换算法（102）将损坏的区域替换为模型投影数据的相应区域，以产生校正的投影数据（S）。 重构处理器（34）将经校正的投影数据（S）重建为经校正的重建3D图像（T'）。

公开(公告)号：US20060149511A1

公开(公告)日：2006-07-06

申请号：US10537883

申请日：2003-12-05

申请人： Michael Kaus ,  Holger Timinger ,  Vladimir Pekar

发明人： Michael Kaus ,  Holger Timinger ,  Vladimir Pekar

IPC分类号： G06F17/10

CPC分类号： G06T7/149 ,  G06T7/12 ,  G06T2207/10081 ,  G06T2207/20092 ,  G06T2207/30012

摘要： The invention relates to a method of segmenting a three-dimensional structure from a three-dimensional, and in particular medical, data set while making allowance for user corrections. The method is performed with the help of a deformable three-dimensional model whose surface is formed by a network of nodes and mashes that connect these nodes. Once the model has been positioned at the point in the three-dimensional data set at which the structure to be segmented is situated and positions of nodes have, if necessary, been changed by known methods of segmentation, any desired nodes can be displaced manually. The nodes of the model are recalculated by making weighted allowance for the nodes that have been displaced manually.

摘要翻译： 本发明涉及一种从三维特别医疗数据集中分割三维结构同时允许用户校正的方法。 该方法借助于可变形的三维模型来执行，该模型的表面由连接这些节点的节点和捣碎网络形成。 一旦模型已经被定位在要被分割的结构位于的三维数据集中的位置，并且如果需要，节点的位置已经被已知的分割方法改变，任何期望的节点可以手动移位。 通过对已经手动移位的节点进行加权限制来重新计算模型的节点。

公开(公告)号：US08554573B2

公开(公告)日：2013-10-08

申请号：US12670541

申请日：2008-07-11

申请人： Vladimir Pekar ,  Torbjoern Vik ,  Heinrich Schulz ,  David Jaffray

发明人： Vladimir Pekar ,  Torbjoern Vik ,  Heinrich Schulz ,  David Jaffray

IPC分类号： G06Q10/00

CPC分类号： G06Q50/22 ,  G06F19/00 ,  G06T7/12 ,  G06T7/149 ,  G06T7/33 ,  G06T19/00 ,  G06T2200/24 ,  G06T2207/20101 ,  G06T2207/30004 ,  G06T2210/41

摘要： When modeling anatomical structures in a patient for diagnosis or therapeutic planning, an atlas (26) of predesigned anatomical structure models can be accessed, and model of one or more such structures can be selected and overlaid on an a 3D image of corresponding structure(s) in a clinic image of a patient. A user can click and drag a cursor on the model to deform the model to align with the clinical image. Additionally, a processor (16) can generate a volumetric deformation function using splines, parametric techniques, or the like, and can deform the model to fit the image in real time, in response to user manipulation of the model.

摘要翻译： 当对病人的解剖结构进行建模以进行诊断或治疗计划时，可以访问预先设计的解剖结构模型的图集（26），并且可以选择一个或多个这样的结构的模型并覆盖在对应结构的3D图像上 ）在患者的诊所图像中。 用户可以单击并拖动模型上的光标，使模型变形以与临床图像对齐。 另外，处理器（16）可以使用样条曲线，参数技术等来产生体积变形函数，并且可以响应于模型的用户操纵而实时变形模型以适合图像。

公开(公告)号：US08094895B2

公开(公告)日：2012-01-10

申请号：US11915752

申请日：2006-05-31

申请人： Michael Kaus ,  Todd McNutt ,  Vladimir Pekar

发明人： Michael Kaus ,  Todd McNutt ,  Vladimir Pekar

IPC分类号： G06K9/00 ,  G06K9/62 ,  G06K9/32

CPC分类号： G06T7/30

摘要： A method for selecting vertices for performing deformable registration of imaged objects is provided. The selected vertices form corresponding pairs, each pair including a vertex from a first imaged object and a vertex from a second imaged object. The corresponding vertex pairs are sorted in order of distance between the vertices making up the corresponding vertex pair. The corresponding vertex pair with the greatest distance is given top priority. Corresponding vertex pairs that lie within a selected distance from the selected corresponding vertex pair are discarded. In this manner, the number of vertex pairs used for deformable registration of the imaged objects is reduced and therefore allows for processing times that are clinically acceptable.

摘要翻译： 提供了一种用于选择用于执行成像对象的变形登记的顶点的方法。 所选择的顶点形成对应的对，每对包括来自第一成像对象的顶点和来自第二成像对象的顶点。 对应的顶点对按照构成相应顶点对的顶点之间的距离的顺序进行排序。 具有最大距离的相应顶点对被赋予最高优先级。 位于距所选择的对应顶点对的选定距离内的相应顶点对被丢弃。 以这种方式，用于成像对象的可变形登记的顶点对的数量减少，因此允许临床可接受的处理时间。

公开(公告)号：US20110007959A1

公开(公告)日：2011-01-13

申请号：US12920332

申请日：2009-02-25

申请人： Heinrich Schulz ,  Michael Kaus ,  Vladimir Pekar ,  Torbjoern Vik

发明人： Heinrich Schulz ,  Michael Kaus ,  Vladimir Pekar ,  Torbjoern Vik

IPC分类号： G06K9/00

CPC分类号： A61N5/103 ,  A61B5/055 ,  A61B6/032 ,  A61B6/037 ,  A61B6/4417 ,  A61B6/5247 ,  G06T7/33 ,  G06T7/38

摘要： When modeling anatomical structures in a patient for diagnosis or therapeutic planning, an atlas (26) of segmented co-registered CT and MRI anatomical structure reference images can be accessed, and an image of one or more such structures can be selected and overlaid with an MRI image of corresponding structure(s) in a clinical image of a patient. A user can click and drag landmarks or segment edges on the reference MRI image to deform the reference MRI image to align with the patient MRI image. Registration of a landmark in the patient MRI image to the reference MRI image also registers the patient MRI image landmark with a corresponding landmark in the co-registered reference CT image, and electron density information from the reference CT image landmark is automatically attributed to the corresponding registered patient MRI landmark.

摘要翻译： 当对用于诊断或治疗计划的患者中的解剖结构进行建模时，可以访问分段共同登记的CT和MRI解剖结构参考图像的图集（26），并且可以选择并覆盖一个或多个这样的结构的图像 患者临床图像中相应结构的MRI图像。 用户可以点击并拖动参考MRI图像上的地标或段边缘，以使参考MRI图像变形以与患者MRI图像对准。 将患者MRI图像中的地标注册到参考MRI图像还将共同登记的参考CT图像中的患者MRI图像标记与相应的标记进行登记，并且来自参考CT图像标记的电子密度信息被自动归因于相应的 注册患者MRI地标。

公开(公告)号：US20090074264A1

公开(公告)日：2009-03-19

申请号：US11719781

申请日：2005-11-04

申请人： Vladimir Pekar ,  Michael Kaus ,  Ingwer C. Carlsen ,  Todd R. McNutt ,  R. Keith Tipton

发明人： Vladimir Pekar ,  Michael Kaus ,  Ingwer C. Carlsen ,  Todd R. McNutt ,  R. Keith Tipton

IPC分类号： G06K9/00

CPC分类号： A61B6/032 ,  A61B6/4417 ,  A61B6/5235 ,  A61B8/13 ,  A61B8/4416 ,  A61N5/103 ,  A61N5/1039 ,  G01T1/1611 ,  G06T7/33 ,  G06T2207/30004

摘要： An imaging system (10) includes imaging modalities such as a PET imaging system (12) and a CT scanner (14). The CT scanner (14) is used to produce a first image (62) which is used for primary contouring. The PET system (12) is used to provide a second image (56), which provides complementary information about the same or overlapping anatomical region. After first and second images (62, 56) are registered with one another the first and second images (62, 56) are concurrently segmented to outline a keyhole (76). The keyhole portion of the second image (56) is inserted into the keyhole (76) of the first image (62). The user can observe the composite image and deform a boundary (78) of the keyhole (76) by a mouse (52) to better focus on the region of interest within previously defined keyhole.

摘要翻译： 成像系统（10）包括诸如PET成像系统（12）和CT扫描仪（14）之类的成像模式。 CT扫描器（14）用于产生用于初级轮廓的第一图像（62）。 PET系统（12）用于提供第二图像（56），其提供关于相同或重叠解剖区域的补充信息。 在第一和第二图像（62,56）之间彼此对准之后，第一和第二图像（62,56）被同时分割以勾勒一个键孔（76）。 第二图像（56）的锁孔部分插入第一图像（62）的键孔（76）中。 用户可以观察合成图像并且通过鼠标（52）使键孔（76）的边界（78）变形以更好地聚焦在先前定义的键孔内的感兴趣区域上。

公开(公告)号：US07489313B2

公开(公告)日：2009-02-10

申请号：US10537883

申请日：2003-12-05

申请人： Michael Kaus ,  Holger Timinger ,  Vladimir Pekar

发明人： Michael Kaus ,  Holger Timinger ,  Vladimir Pekar

IPC分类号： G06T15/00

CPC分类号： G06T7/149 ,  G06T7/12 ,  G06T2207/10081 ,  G06T2207/20092 ,  G06T2207/30012

摘要： The invention relates to a method of segmenting a three-dimensional structure from a three-dimensional, and in particular medical, data set while making allowance for user corrections. The method is performed with the help of a deformable three-dimensional model whose surface is formed by a network of nodes and mashes that connect these nodes. Once the model has been positioned at the point in the three-dimensional data set at which the structure to be segmented is situated and positions of nodes have, if necessary, been changed by known methods of segmentation, any desired nodes can be displaced manually. The nodes of the model are re-calculated by making weighted allowance for the nodes that have been displaced manually.

摘要翻译： 本发明涉及一种从三维特别医疗数据集中分割三维结构同时允许用户校正的方法。 该方法借助于可变形的三维模型来执行，该模型的表面由连接这些节点的节点和捣碎网络形成。 一旦模型已经被定位在要被分割的结构位于的三维数据集中的位置，并且如果需要，节点的位置已经被已知的分割方法改变，任何期望的节点可以手动移位。 通过对已经手动移位的节点进行加权限制来重新计算模型的节点。

公开(公告)号：US07440609B2

公开(公告)日：2008-10-21

申请号：US10542094

申请日：2003-12-15

申请人： Jens Von Berg ,  Vladimir Pekar ,  Michael Kaus ,  Olivier Gerard ,  Jean-Michel Rouet ,  Sherif Makram-Ebeid ,  Maxim Fradkin

发明人： Jens Von Berg ,  Vladimir Pekar ,  Michael Kaus ,  Olivier Gerard ,  Jean-Michel Rouet ,  Sherif Makram-Ebeid ,  Maxim Fradkin

IPC分类号： G06K9/00 ,  G06K9/34

CPC分类号： G06T7/0012 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/10072 ,  G06T2207/30008 ,  G06T2207/30048

摘要： The invention relates to a method for segmentation of a three-dimensional structure in a three-dimensional data set, especially a medical data set. The method uses a three-dimensional deformable model, wherein the surface of the model consists of a net of polygonal meshes. The meshes are split into groups, and a feature term is assigned to each group. After the model has been placed over the structure of interest, the deformable model is recalculated in consideration of the feature terms of each group.

摘要翻译： 本发明涉及三维数据集，特别是医学数据集中三维结构分割的方法。 该方法使用三维可变形模型，其中模型的表面由多边形网格网组成。 网格被分成组，并且将特征项分配给每个组。 在将模型放置在感兴趣的结构之后，考虑到每个组的特征项，重新计算可变形模型。

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。

公开(公告)号：US20060071932A1

公开(公告)日：2006-04-06

申请号：US10535292

申请日：2003-11-13

申请人： Jurgen Weese ,  Daniel Hempel ,  Vladimir Pekar

发明人： Jurgen Weese ,  Daniel Hempel ,  Vladimir Pekar

IPC分类号： G06T17/00

CPC分类号： G06T15/08

摘要： The invention relates to a method and to an apparatus for visualizing a sequence of volume images of a moving object. Methods and apparatus of this kind are used in cases where a sequence of three-dimensional volume images is to be rendered as a two-dimensional image, for example, for a viewer. The invention utilizes the fact that usually only the volume values of a part of the voxels are relevant for the derivation of a two-dimensional image from a volume image. In the case of a sequence of volume images of a moving object, the derivations of the two dimensional images can be accelerated by storing the voxels which are relevant for the visualization during the visualization of a first volume image and by deriving the relevant two-dimensional image during the visualization of a second volume image exclusively from the volume values of the stored voxels and from voxels neighboring such stored voxels. The selection of volume values of neighboring voxels for use is dependent on the motion of the object. The voxels of the second volume image which are relevant for the visualization are stored again and used accordingly for the visualization of a third volume image. These steps are repeated accordingly for further volume images of the sequence.

摘要翻译： 本发明涉及一种用于可视化运动物体的体积图像序列的方法和装置。 在将三维体积图像的序列作为二维图像（例如，对于观看者）进行渲染的情况下，可以使用这种方法和装置。 本发明利用通常只有一部分体素的体积值与从体积图像推导二维图像相关的事实。 在运动物体的体积图像的序列的情况下，可以通过在第一体积图像的可视化期间存储与可视化相关的体素来加速二维图像的导出，并且通过导出相关的二维 在第二体积图像可视化期间的图像专门来自存储的体素的体积值和与这样存储的体素相邻的体素。 选择要使用的相邻体元的体积值取决于对象的运动。 与可视化相关的第二卷图像的体素被再次存储并相应地用于第三卷图像的可视化。 相应地重复这些步骤用于序列的进一步体积图像。