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    System and method for prototyping by learning from examples wherein a prototype is calculated for each shape class cluster
    3.
    发明授权
    System and method for prototyping by learning from examples wherein a prototype is calculated for each shape class cluster 失效
    通过从示例中学习的原型设计的系统和方法，其中为每个形状类簇计算原型

    公开(公告)号：US08380644B2

    公开(公告)日：2013-02-19

    申请号：US12702362

    申请日：2010-02-09

    申请人： Alexander Zouhar ,  Sajjad Hussain Baloch ,  Sergei Azernikov ,  Claus Bahlmann ,  Tong Fang ,  Gozde Unal ,  Siegfried Fuchs

    发明人： Alexander Zouhar ,  Sajjad Hussain Baloch ,  Sergei Azernikov ,  Claus Bahlmann ,  Tong Fang ,  Gozde Unal ,  Siegfried Fuchs

    IPC分类号： G06F15/18

    CPC分类号： G06F17/5009 ,  G06F2217/06

    摘要： A method for specifying design rules for a manufacturing process includes providing a training set of 3D point meshes that represent an anatomical structure, for each 3D point mesh, finding groupings of points that define clusters for each shape class of the anatomical structure, calculating a prototype for each shape class cluster, and associating one or more manufacturing design rules with each shape class prototype. The method includes providing a new 3D point mesh that represents an anatomical structure, calculating a correspondence function that maps the new 3D point mesh to a candidate shape class prototype by minimizing a cost function, calculating a transformation that aligns points in the new 3D point mesh with points in the candidate shape class prototype, and using the rules associated with the shape class prototype, if the candidate shape class prototype is successfully aligned with the new 3D point mesh.

    摘要翻译： 用于指定制造过程的设计规则的方法包括：为每个3D点网格提供代表解剖结构的3D点网格的训练集合，找到为解剖结构的每个形状类定义簇的点的分组，计算原型 对于每个形状类集群，并将一个或多个制造设计规则与每个形状类原型相关联。 该方法包括提供表示解剖结构的新3D点网格，计算通过最小化成本函数将新的3D点网格映射到候选形状类原型的对应函数，计算在新的3D点网格中对齐点的变换 使用候选形状类原型中的点，并使用与形状类原型相关联的规则，如果候选形状类原型与新的3D点网格成功对齐。

    Shape Based Conditional Random Fields for Segmenting Intracranial Aneurysms
    4.
    发明申请
    Shape Based Conditional Random Fields for Segmenting Intracranial Aneurysms 有权
    基于形状的条件随机场分割颅内动脉瘤

    公开(公告)号：US20120321169A1

    公开(公告)日：2012-12-20

    申请号：US13456542

    申请日：2012-05-30

    申请人： Sajjad Hussain Baloch ,  Erkang Cheng ,  Tong Fang ,  Ying Zhu

    发明人： Sajjad Hussain Baloch ,  Erkang Cheng ,  Tong Fang ,  Ying Zhu

    IPC分类号： G06K9/34

    CPC分类号： G06T7/0083 ,  G06K9/4638 ,  G06K9/468 ,  G06K2209/05 ,  G06T7/12 ,  G06T7/143 ,  G06T7/149 ,  G06T2207/10072 ,  G06T2207/20076 ,  G06T2207/20124 ,  G06T2207/30101

    摘要： A method for segmenting intracranial aneurysms in digital medical images includes extracting a mesh representing a vessel surface from a volumetric digital image, the mesh comprising a set of points {pi} and edges {eij} respective points, and finding a set of binary labelings that minimizes an energy functional of the labelings and of shape descriptors of each point in the mesh, where the binary labelings segments an aneurysm from the surface by associating one of two labels with each point pi, where a label indicates whether an associated point is on a vessel or on an aneurysm, where the energy functional includes a unary potential term summed over all points that represent a posterior distribution of the labels over the points, and a pairwise potential term summed over all edges that represents neighborhood labeling relationships.

    摘要翻译： 用于在数字医学图像中分割颅内动脉瘤的方法包括从体积数字图像中提取表示血管表面的网格，所述网格包括一组点{pi}和边缘{eij}各自的点，并且找到一组二进制标记， 最小化网格中每个点的标签和形状描述符的能量功能，其中二进制标签通过将两个标签中的一个与每个点pi相关联来从表面分割动脉瘤，其中标签指示关联点是否在 血管或动脉瘤，其中能量功能包括表示标记在点上的后验分布的所有点上的一元潜在项，以及表示邻域标记关系的所有边缘上的成对潜在项。

    SYSTEM AND METHOD FOR PROTOTYPING BY LEARNING FROM EXAMPLES
    5.
    发明申请
    SYSTEM AND METHOD FOR PROTOTYPING BY LEARNING FROM EXAMPLES 失效
    通过实例学习的系统和方法

    公开(公告)号：US20100217417A1

    公开(公告)日：2010-08-26

    申请号：US12702362

    申请日：2010-02-09

    申请人： Alexander Zouhar ,  Sajjad Hussain Baloch ,  Sergei Azernikov ,  Claus Bahlmann ,  Tong Fang ,  Gozde Unal ,  Siegfried Fuchs

    发明人： Alexander Zouhar ,  Sajjad Hussain Baloch ,  Sergei Azernikov ,  Claus Bahlmann ,  Tong Fang ,  Gozde Unal ,  Siegfried Fuchs

    IPC分类号： G06F17/50 ,  G06N5/02 ,  G06F15/18

    CPC分类号： G06F17/5009 ,  G06F2217/06

    摘要： A method for specifying design rules for a manufacturing process includes providing a training set of 3D point meshes that represent an anatomical structure, for each 3D point mesh, finding groupings of points that define clusters for each shape class of the anatomical structure, calculating a prototype for each shape class cluster, and associating one or more manufacturing design rules with each shape class prototype. The method includes providing a new 3D point mesh that represents an anatomical structure, calculating a correspondence function that maps the new 3D point mesh to a candidate shape class prototype by minimizing a cost function, calculating a transformation that aligns points in the new 3D point mesh with points in the candidate shape class prototype, and using the rules associated with the shape class prototype, if the candidate shape class prototype is successfully aligned with the new 3D point mesh.

    摘要翻译： 用于指定制造过程的设计规则的方法包括：为每个3D点网格提供代表解剖结构的3D点网格的训练集合，找到为解剖结构的每个形状类定义簇的点的分组，计算原型 对于每个形状类集群，并将一个或多个制造设计规则与每个形状类原型相关联。 该方法包括提供表示解剖结构的新3D点网格，计算通过最小化成本函数将新的3D点网格映射到候选形状类原型的对应函数，计算在新的3D点网格中对齐点的变换 使用候选形状类原型中的点，并使用与形状类原型相关联的规则，如果候选形状类原型与新的3D点网格成功对齐。

    System and method for automatic detection of anatomical features on 3D ear impressions
    6.
    发明授权
    System and method for automatic detection of anatomical features on 3D ear impressions 失效
    用于自动检测3D耳朵印象的解剖特征的系统和方法

    公开(公告)号：US08229180B2

    公开(公告)日：2012-07-24

    申请号：US12603928

    申请日：2009-10-22

    申请人： Sajjad Hussain Baloch ,  Rupen Melkisetoglu ,  Sergei Azernikov ,  Alexander Zouhar ,  Tong Fang

    发明人： Sajjad Hussain Baloch ,  Rupen Melkisetoglu ,  Sergei Azernikov ,  Alexander Zouhar ,  Tong Fang

    IPC分类号： G06K9/00

    CPC分类号： H04R25/658 ,  G06K9/00201 ,  H04R25/652 ,  H04R2225/77

    摘要： A method for detecting anatomical features in 3D ear impressions includes receiving a 3D digital image of a 3D ear impression, obtaining a surface of the ear impression from the 3D image, analyzing the surface with one or more feature detectors, the detectors adapted to detecting generic features, including peak features, concavity features, elbow features, ridge features, and bump features, and derived features that depend on generic features or other derived features, and forming a canonical ear signature from results of the detectors, where the canonical ear signature characterizes the 3D ear impression.

    摘要翻译： 用于检测3D耳朵曝光中的解剖特征的方法包括接收3D耳朵印象的3D数字图像，从3D图像获得耳朵印象的表面，用一个或多个特征检测器分析表面，适用于检测通用 特征，包括峰特征，凹陷特征，肘部特征，脊特征和凸起特征，以及取决于一般特征或其他衍生特征的导出特征，以及由检测器的结果形成规范耳朵签名，其中规范耳朵特征表征 3D耳朵的印象。

    SYSTEM AND METHOD FOR AUTOMATIC DETECTION OF ANATOMICAL FEATURES ON 3D EAR IMPRESSIONS
    7.
    发明申请
    SYSTEM AND METHOD FOR AUTOMATIC DETECTION OF ANATOMICAL FEATURES ON 3D EAR IMPRESSIONS 失效
    用于自动检测3D眼图的解剖特征的系统和方法

    公开(公告)号：US20100103170A1

    公开(公告)日：2010-04-29

    申请号：US12603928

    申请日：2009-10-22

    申请人： Sajjad Hussain Baloch ,  Rupen Melkisetoglu ,  Sergei Azernikov ,  Alexander Zouhar ,  Tong Fang

    发明人： Sajjad Hussain Baloch ,  Rupen Melkisetoglu ,  Sergei Azernikov ,  Alexander Zouhar ,  Tong Fang

    IPC分类号： G06T17/00 ,  G06K9/00

    CPC分类号： H04R25/658 ,  G06K9/00201 ,  H04R25/652 ,  H04R2225/77

    摘要： A method for detecting anatomical features in 3D ear impressions includes receiving a 3D digital image of a 3D ear impression, obtaining a surface of the ear impression from the 3D image, analyzing the surface with one or more feature detectors, the detectors adapted to detecting generic features, including peak features, concavity features, elbow features, ridge features, and bump features, and derived features that depend on generic features or other derived features, and forming a canonical ear signature from results of the detectors, where the canonical ear signature characterizes the 3D ear impression.

    摘要翻译： 用于检测3D耳朵曝光中的解剖特征的方法包括接收3D耳朵印象的3D数字图像，从3D图像获得耳朵印象的表面，用一个或多个特征检测器分析表面，适用于检测通用 特征，包括峰特征，凹陷特征，肘部特征，脊特征和凸起特征，以及取决于一般特征或其他衍生特征的导出特征，以及由检测器的结果形成规范耳朵签名，其中规范耳朵特征表征 3D耳朵的印象。

    Shape based conditional random fields for segmenting intracranial aneurysms
    8.
    发明授权
    Shape based conditional random fields for segmenting intracranial aneurysms 有权
    基于形状的条件随机场分割颅内动脉瘤

    公开(公告)号：US08831308B2

    公开(公告)日：2014-09-09

    申请号：US13456542

    申请日：2012-05-30

    申请人： Sajjad Hussain Baloch ,  Erkang Cheng ,  Tong Fang ,  Ying Zhu

    发明人： Sajjad Hussain Baloch ,  Erkang Cheng ,  Tong Fang ,  Ying Zhu

    IPC分类号： G06K9/00 ,  G06T7/00 ,  G06K9/46

    CPC分类号： G06T7/0083 ,  G06K9/4638 ,  G06K9/468 ,  G06K2209/05 ,  G06T7/12 ,  G06T7/143 ,  G06T7/149 ,  G06T2207/10072 ,  G06T2207/20076 ,  G06T2207/20124 ,  G06T2207/30101

    摘要： A method for segmenting intracranial aneurysms in digital medical images includes extracting a mesh representing a vessel surface from a volumetric digital image, the mesh comprising a set of points {pi} and edges {eij} respective points, and finding a set of binary labelings that minimizes an energy functional of the labelings and of shape descriptors of each point in the mesh, where the binary labelings segments an aneurysm from the surface by associating one of two labels with each point pi, where a label indicates whether an associated point is on a vessel or on an aneurysm, where the energy functional includes a unary potential term summed over all points that represent a posterior distribution of the labels over the points, and a pairwise potential term summed over all edges that represents neighborhood labeling relationships.

    摘要翻译： 用于在数字医学图像中分割颅内动脉瘤的方法包括从体积数字图像中提取表示血管表面的网格，所述网格包括一组点{pi}和边缘{eij}各个点，并且找到一组二进制标记， 最小化网格中每个点的标签和形状描述符的能量功能，其中二进制标签通过将两个标签中的一个与每个点pi相关联来从表面分割动脉瘤，其中标签指示关联点是否在 血管或动脉瘤，其中能量功能包括表示标记在点上的后验分布的所有点上的一元潜在项，以及表示邻域标记关系的所有边缘上的成对潜在项。

    Personalized orthopedic implant CAD model generation
    9.
    发明授权
    Personalized orthopedic implant CAD model generation 有权
    个性化矫形植入CAD模型生成

    公开(公告)号：US09474582B2

    公开(公告)日：2016-10-25

    申请号：US13817272

    申请日：2011-08-16

    申请人： Suraj Ravi Musuvathy ,  Ruirui Jiang ,  Sergei Azernikov ,  Gang Li ,  Tong Fang

    发明人： Suraj Ravi Musuvathy ,  Ruirui Jiang ,  Sergei Azernikov ,  Gang Li ,  Tong Fang

    IPC分类号： G05D1/00 ,  A61B19/00 ,  G06F19/00 ,  G06T17/20 ,  G06T17/30

    CPC分类号： A61B34/10 ,  A61B2034/105 ,  A61F2/30942 ,  A61F2/38 ,  A61F2002/30948 ,  A61F2002/30952 ,  G06F19/00 ,  G06F19/321 ,  G06T17/20 ,  G06T17/30 ,  G16H50/50

    摘要： A computer assisted method creates accurate CAD/CAM models of custom orthopedic implants is provided. Information about bone geometry is acquired through medical imaging such as CT image scans. The desired bone surface region is extracted as a polygonal mesh after processing the 3D images. A smooth and accurate B-Spline surface is fitted to the polygonal mesh that is thickened to a solid CAD model. A patient-specific customized implant is manufactured from the obtained CAD model. The patient-specific customized implant is implanted in a patient by a surgeon in an operating room. A processor based system to generate a CAD/CAM file of the patient-specific customized implant and a manufacturing system enabled to manufacture the implant from the CAD/CAM file are also disclosed.

    摘要翻译： 计算机辅助方法可提供定制矫形植入物的精确CAD / CAM模型。 有关骨骼几何的信息是通过CT图像扫描等医学成像获取的。 在处理3D图像之后，期望的骨表面区域被提取为多边形网格。 平滑和准确的B样条表面适合于加厚到实体CAD模型的多边形网格。 特定于患者的定制植入物由所获得的CAD模型制造。 患者特定的定制植入物由手术室中的外科医生植入患者体内。 还公开了一种基于处理器的系统，用于生成患者特定定制植入物的CAD / CAM文件和能够从CAD / CAM文件制造植入物的制造系统。

    Semi-Automatic Customization Of Plates For Internal Fracture Fixation
    10.
    发明申请
    Semi-Automatic Customization Of Plates For Internal Fracture Fixation 有权
    半自动定制板内部断裂固定

    公开(公告)号：US20140081400A1

    公开(公告)日：2014-03-20

    申请号：US13817006

    申请日：2011-08-18

    申请人： Sergei Azernikov ,  Suraj Ravi Musuvathy ,  Tong Fang

    发明人： Sergei Azernikov ,  Suraj Ravi Musuvathy ,  Tong Fang

    IPC分类号： A61F2/30

    CPC分类号： A61F2/30942 ,  A61B34/10 ,  A61B2017/00526 ,  A61B2034/102 ,  A61B2034/105 ,  A61B2034/108 ,  G06T19/20 ,  G06T2210/41 ,  G06T2219/2021

    摘要： A method on a processor customizes a fixation plate for repairing a bone fracture. A digital CAD model of an implant contains smooth analytic geometry representations including NURBS. The CAD geometry is directly manipulated to generate a customized implant CAD model that conforms to the desired region of the bone surface of a patient. Direct manipulation of NURBS geometry is computationally fast and suitable for interactive planning. The patient specific customized implant is produced directly from the generated customized CAD model with a standard CNC machine before surgery. The patient customized implant is implanted in the patient.

    摘要翻译： 处理器上的一种方法定制用于修复骨折的固定板。 植入物的数字CAD模型包含平滑的分析几何表示，包括NURBS。 直接操纵CAD几何以产生符合患者的骨表面的期望区域的定制的植入物CAD模型。 NURBS几何的直接操纵在计算上是快速的，适用于交互式规划。 患者特定的定制植入物直接从生成的定制CAD模型与手术前的标准CNC机器生产。 将患者定制的植入物植入患者体内。