公开(公告)号：US08014581B2

公开(公告)日：2011-09-06

申请号：US12026002

申请日：2008-02-05

申请人： Zhen Qian ,  Matthias Wolf ,  Luca Bogoni

发明人： Zhen Qian ,  Matthias Wolf ,  Luca Bogoni

IPC分类号： G06K9/00

CPC分类号： G06T7/0012 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/10088 ,  G06T2207/20101 ,  G06T2207/20116 ,  G06T2207/20168 ,  G06T2207/30032 ,  Y10S128/922

摘要： A method for segmenting a tubular structure includes providing a three-dimensional image containing the tubular structure, providing at least one seed point within the tubular structure, fitting an initial cylinder into the tubular structure at the seed point, adding cylinder segments to the initial cylinder in forward and backward directions within the three-dimensional image of the tubular structure by tracking the cylinder model over the tubular structure, modeling each cylinder segment using parameters to account for a three-dimensional orientation, a radius, a length and a curvature, describing an intensity image of the tubular structure using a second model to represent an edge and intensity distribution of the tubular structure, fitting the parameters as the cylinder segment is added to the intensity image, and outputting cylinder segments as a segmentation of the tube.

摘要翻译： 用于分割管状结构的方法包括提供包含管状结构的三维图像，在管状结构内提供至少一个种子点，将初始圆柱体在种子点处装配到管状结构中，将圆柱体段添加到初始圆柱体 在管状结构的三维图像内沿向前和向后的方向，通过在管状结构上跟踪圆柱模型，使用参数建模每个气缸段以考虑三维取向，半径，长度和曲率，描述 使用第二模型来表示管状结构的边缘和强度分布的管状结构的强度图像，将作为气缸段的参数拟合到强度图像中，并且作为管的分割输出气缸段。

公开(公告)号：US07876947B2

公开(公告)日：2011-01-25

申请号：US12244428

申请日：2008-10-02

申请人： Tin Man Lee ,  Sarang Lakare ,  Matthias Wolf

发明人： Tin Man Lee ,  Sarang Lakare ,  Matthias Wolf

IPC分类号： G06K9/00 ,  A61B6/00

CPC分类号： G06T7/155 ,  G06T7/11 ,  G06T7/143 ,  G06T2207/10081 ,  G06T2207/30032 ,  G06T2207/30096

摘要： A method for computer-aided object classification, soft segmentation and layer extraction in computed tomographic colonography includes providing a contrast enhanced computed tomography (CT) digital image of the colon, finding a foreground region of voxels with an intensity higher than a pre-defined foreground threshold, creating a 3D trimap of the colon where the image is segmented into the foreground region, a background region, and an unknown region between the foreground and background, starting from the background, extracting successive layers of the unknown region until the foreground region is reached, and classifying each extracted layer as background or foreground, and generating a foreground matte, a background matte, and an alpha matte, where alpha indicates a mixing ration of foreground and background voxels.

摘要翻译： 计算机辅助对象分类，计算机断层造影中的软分割和层提取的方法包括提供冒号的对比度增强计算机断层摄影（CT）数字图像，找到具有高于预定义前景的体素的前景区域 阈值，从背景开始，将图像分割成前景区域，背景区域和前景和背景之间的未知区域，从而提取未知区域的连续层，直到前景区域为 达到并将每个提取的层分类为背景或前景，并生成前景无光泽，背景无光泽和阿尔法无光泽，其中alpha表示前景和背景体素的混合比。

公开(公告)号：US20090112449A1

公开(公告)日：2009-04-30

申请号：US12157335

申请日：2008-06-09

申请人： Simon Binder ,  Yuriy Bogachik ,  Alfred Frommelt ,  Kristina Hellstroem ,  Frank Kirschbaum ,  Michael Klier ,  Lorenzo Matassini ,  Michael Mladek ,  Heiko Moeckel-Lherbier ,  Gerhard Muenkel ,  Rudiger Pfaff ,  Karsten Scheible ,  Martin Schnabel ,  Jurgen Schorr ,  Bernd Windisch ,  Matthias Wolf

发明人： Simon Binder ,  Yuriy Bogachik ,  Alfred Frommelt ,  Kristina Hellstroem ,  Frank Kirschbaum ,  Michael Klier ,  Lorenzo Matassini ,  Michael Mladek ,  Heiko Moeckel-Lherbier ,  Gerhard Muenkel ,  Rudiger Pfaff ,  Karsten Scheible ,  Martin Schnabel ,  Jurgen Schorr ,  Bernd Windisch ,  Matthias Wolf

IPC分类号： F02D41/30

CPC分类号： F02D41/403 ,  F02D35/02 ,  F02D35/023 ,  F02D35/027 ,  F02D35/028 ,  F02D41/005 ,  F02D41/008 ,  F02D2200/025 ,  Y02T10/44

摘要： In a method for controlling an internal combustion engine, in particular a diesel internal combustion engine, at least one variable is formed on a cylinder-specific basis, which variable characterizes a respective profile of a combustion in an associated combustion chamber, and the control of cylinder-specific fuel injection parameters is influenced as a function of said at least one variable which characterizes the combustion profile.

摘要翻译： 在用于控制内燃机，特别是柴油内燃机的方法中，至少一个变量形成在气缸特定的基础上，该变量表征相关燃烧室中的燃烧的相应轮廓，并且控制 气缸特定燃料喷射参数作为表征燃烧曲线的所述至少一个变量的函数而受到影响。

公开(公告)号：US20090092301A1

公开(公告)日：2009-04-09

申请号：US12243327

申请日：2008-10-01

申请人： Anna Jerebko ,  Matthias Wolf

发明人： Anna Jerebko ,  Matthias Wolf

IPC分类号： G06K9/00

CPC分类号： G06T17/20 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/10072 ,  G06T2207/20081 ,  G06T2207/20124 ,  G06T2207/30004

摘要： A method for segmenting organs in digitized medical images includes providing a set of segmented training images of an organ, computing a surface mesh having a plurality of mesh cells that approximates a border of the organ, extracting positive examples of all mesh cells and negative examples in the neighborhood of each mesh cell which do not belong to the organ surface, training from the positive examples and negative examples a plurality of classifiers for outputting a probability of a point being a center of a particular mesh cell, computing an active shape model using a subset of center points in the mesh cells, generating a new shape by iteratively deforming the active shape model to fit a test image, and using the classifiers to calculate a probability of each center point of the new shape being a center of a mesh cell which the classifier was trained to recognize.

摘要翻译： 用于在数字化医学图像中分割器官的方法包括提供一组器官的分割训练图像，计算具有近似器官边界的多个网格细胞的表面网格，提取所有网孔细胞的阳性实例和阴性实例 不属于器官表面的每个网格单元的邻域，从正面示例和负面示例中训练多个分类器，用于输出点是特定网格单元格的中心的概率，使用 网格单元中的中心点的子集，通过迭代地使活动形状模型变形以拟合测试图像来生成新形状，并且使用分类器来计算新形状的每个中心点是网格单元格的中心的概率， 分类器被训练认识。

公开(公告)号：US07352882B2

公开(公告)日：2008-04-01

申请号：US10916808

申请日：2004-08-12

申请人： Matthias Wolf

发明人： Matthias Wolf

IPC分类号： G06K9/00

CPC分类号： G06K9/56 ,  G06K2209/05 ,  G06T7/0012 ,  G06T7/194 ,  G06T7/70 ,  G06T2207/10081 ,  G06T2207/30064

摘要： An image processing system for recognizing image features in three dimensional images, which can be medical images, uses a mask generator for generating masks that are used by a candidate searcher to search for candidate images in the three dimensional image. The candidate searcher applies the mask to a section of a foreground region of the image to determine the presence of a structure/object by counting the number of intersections between the mask and the section of the foreground region.

摘要翻译： 用于识别可以是医学图像的三维图像中的图像特征的图像处理系统使用掩模生成器来生成由候选搜索器使用以在三维图像中搜索候选图像的掩模。 候选搜索器将掩模应用于图像的前景区域的一部分，以通过对掩模与前景区域的部分之间的交点数进行计数来确定结构/对象的存在。