公开(公告)号：US09256951B2

公开(公告)日：2016-02-09

申请号：US13514713

申请日：2010-11-17

申请人： Lyubomir Georgiev Zagorchev ,  Elizabeth Anne Morre ,  Matthew A. Garlinghouse ,  Robert M. Roth ,  Thomas W. McAllister ,  Dieter Geller ,  Jochen Peters ,  Juergen Weese ,  Yuechen Qian

发明人： Lyubomir Georgiev Zagorchev ,  Elizabeth Anne Morre ,  Matthew A. Garlinghouse ,  Robert M. Roth ,  Thomas W. McAllister ,  Reinhard Kneser ,  Dieter Geller ,  Jochen Peters ,  Juergen Weese ,  Yuechen Qian

IPC分类号： G06T7/00 ,  G06T17/30 ,  G06T19/20

CPC分类号： G06T7/0089 ,  G06T7/0012 ,  G06T7/149 ,  G06T2200/24 ,  G06T2207/10081 ,  G06T2207/30016

摘要： A system and method for automatic segmentation, performed by selecting a deformable model of an anatomical structure of interest imaged in a volumetric image, the deformable model formed of a plurality of polygons including vertices and edges, displaying the deformable model on a display, detecting a feature point of the anatomical structure of interest corresponding to each of the plurality of polygons and adapting the deformable model by moving each of the vertices toward the corresponding feature points until the deformable model morphs to a boundary of the anatomical structure of interest, forming a segmentation of the anatomical structure of interest.

摘要翻译： 一种用于自动分割的系统和方法，通过选择在体积图像中成像的感兴趣的解剖结构的可变形模型来执行，所述可变形模型由包括顶点和边缘的多个多边形形成，在显示器上显示可变形模型， 感兴趣的解剖结构的特征点对应于多个多边形中的每一个，并且通过将每个顶点朝向对应的特征点移动来适配可变形模型，直到可变形模型变形为感兴趣的解剖结构的边界，形成分割 的感兴趣的解剖结构。

公开(公告)号：US20120327075A1

公开(公告)日：2012-12-27

申请号：US13514713

申请日：2010-11-17

申请人： Lyubomir Georgiev Zagorchev ,  Elizabeth Anne Morre ,  Matthew A. Garlinghouse ,  Robert M. Roth ,  Thomas W. McAllister ,  Reinhard Kneser ,  Dieter Geller ,  Jochen Peters ,  Juergen Weese ,  Yuechen Qian

发明人： Lyubomir Georgiev Zagorchev ,  Elizabeth Anne Morre ,  Matthew A. Garlinghouse ,  Robert M. Roth ,  Thomas W. McAllister ,  Reinhard Kneser ,  Dieter Geller ,  Jochen Peters ,  Juergen Weese ,  Yuechen Qian

IPC分类号： G06T7/00

CPC分类号： G06T7/0089 ,  G06T7/0012 ,  G06T7/149 ,  G06T2200/24 ,  G06T2207/10081 ,  G06T2207/30016

摘要： A system and method for automatic segmentation, performed by selecting a deformable model of an anatomical structure of interest imaged in a volumetric image, the deformable model formed of a plurality of polygons including vertices and edges, displaying the deformable model on a display, detecting a feature point of the anatomical structure of interest corresponding to each of the plurality of polygons and adapting the deformable model by moving each of the vertices toward the corresponding feature points until the deformable model morphs to a boundary of the anatomical structure of interest, forming a segmentation of the anatomical structure of interest.

摘要翻译： 一种用于自动分割的系统和方法，通过选择在体积图像中成像的感兴趣的解剖结构的可变形模型来执行，所述可变形模型由包括顶点和边缘的多个多边形形成，在显示器上显示可变形模型， 感兴趣的解剖结构的特征点对应于多个多边形中的每一个，并且通过将每个顶点朝向对应的特征点移动来适配可变形模型，直到可变形模型变形为感兴趣的解剖结构的边界，形成分割 的感兴趣的解剖结构。

公开(公告)号：US20130066189A1

公开(公告)日：2013-03-14

申请号：US13580390

申请日：2011-02-02

申请人： Lyubomir Georgiev Zagorchev ,  Reinhard Kneser ,  Dieter Geller ,  Yuechen Qian ,  Juergen Weese ,  Matthew A. Garlinghouse ,  Robert M. Roth ,  Thomas W. McAllister

发明人： Lyubomir Georgiev Zagorchev ,  Reinhard Kneser ,  Dieter Geller ,  Yuechen Qian ,  Juergen Weese ,  Matthew A. Garlinghouse ,  Robert M. Roth ,  Thomas W. McAllister

IPC分类号： A61B6/00

CPC分类号： G06T7/0012 ,  G06T2207/10081 ,  G06T2207/10132 ,  G06T2207/30016

摘要： A system and method for identifying an abnormality of an anatomical structure. The system and method segments, using a processor, the anatomical structure imaged in a volumetric image of a plurality of control patients to produce a control segmentation of the anatomical structures of each of the control patients, obtains a normative dataset by extracting a statistical representation of a morphology of the control segmentations, segments the anatomical structure of a patient being analyzed for abnormalities to produce a patient segmentation and compares the patient segmentation to the normative dataset obtained from the control segmentations.

摘要翻译： 用于识别解剖结构异常的系统和方法。 使用处理器的系统和方法段在多个控制患者的体积图像中成像的解剖结构以产生每个控制患者的解剖结构的控制分割，通过提取规范数据集来提取统计学表示 控制分割的形态，分割被分析异常的患者的解剖结构以产生患者分割，并将患者分割与从控制分割获得的规范数据集进行比较。

公开(公告)号：US10426430B2

公开(公告)日：2019-10-01

申请号：US13818042

申请日：2011-08-24

申请人： Lyubomir Georgiev Zagorchev ,  Michael Cardinale ,  Scott Holland Settlemier ,  Kevin CamHong Quan ,  Sabine Mollus ,  Juergen Weese ,  Ivan Salgo

发明人： Lyubomir Georgiev Zagorchev ,  Michael Cardinale ,  Scott Holland Settlemier ,  Kevin CamHong Quan ,  Sabine Mollus ,  Juergen Weese ,  Ivan Salgo

IPC分类号： A61B8/00 ,  A61B8/08 ,  A61B8/14 ,  G06T7/12 ,  G06T7/149 ,  G06T7/62 ,  G06T7/66 ,  A61B5/107 ,  A61B34/10

摘要： An ultrasound system for planning a surgical implantation of a prosthetic aortic valve produces three dimensional images of the aortic root region of a patient. An electronic model of an aortic root is accessed and fitted to the aortic root in a three dimensional ultrasound image. Preferably the aortic root model exhibits closed contour cross-sections which are fitted to the endothelial lining of the aortic root in the ultrasound image. A medial axis of the fitted model is identified and radii measured from the medical axis to the border of the fitted model. The radii are joined to identify a surface forming a mesh model fitted to the aortic root anatomy of the patient. The shape and dimensions of the fitted model may be used to fabricate a custom prosthetic valve for aortic valve replacement.

公开(公告)号：US20130231564A1

公开(公告)日：2013-09-05

申请号：US13818042

申请日：2011-08-24

申请人： Lyubomir Georgiev Zagorchev ,  Michael Daniel Cardinale ,  Scott Holland Settlemier ,  Kevin CamHong Quan ,  Sabine Mollus ,  Juergen Weese ,  Ivan Salgo

发明人： Lyubomir Georgiev Zagorchev ,  Michael Daniel Cardinale ,  Scott Holland Settlemier ,  Kevin CamHong Quan ,  Sabine Mollus ,  Juergen Weese ,  Ivan Salgo

IPC分类号： A61B8/08 ,  A61B8/14 ,  A61B8/00

CPC分类号： A61B8/0891 ,  A61B5/1075 ,  A61B8/0883 ,  A61B8/145 ,  A61B8/466 ,  A61B8/483 ,  A61B8/5207 ,  A61B8/5223 ,  A61B8/543 ,  A61B34/10 ,  A61B2034/105 ,  G06T7/12 ,  G06T7/149 ,  G06T7/62 ,  G06T7/66 ,  G06T2207/10136 ,  G06T2207/30101 ,  G06T2207/30172

摘要： An ultrasound system for planning a surgical implantation of a prosthetic aortic valve produces three dimensional images of the aortic root region of a patient. An electronic model of an aortic root is accessed and fitted to the aortic root in a three dimensional ultrasound image. Preferably the aortic root model exhibits closed contour cross-sections which are fitted to the endothelial lining of the aortic root in the ultrasound image. A medial axis of the fitted model is identified and radii measured from the medical axis to the border of the fitted model. The radii are joined to identify a surface forming a mesh model fitted to the aortic root anatomy of the patient. The shape and dimensions of the fitted model may be used to fabricate a custom prosthetic valve for aortic valve replacement.

摘要翻译： 用于规划假体主动脉瓣的手术植入的超声系统产生患者的主动脉根部区域的三维图像。 主动脉根部的电子模型在三维超声图像中被访问并适合于主动脉根部。 优选地，主动脉根部模型显示封闭的轮廓横截面，其被配合到超声图像中主动脉根部的内皮衬里。 识别拟合模型的中轴，并从医学轴线到拟合模型的边界测量半径。 连接半径以识别形成拟合到患者的主动脉根解剖结构的网格模型的表面。 拟合模型的形状和尺寸可用于制造用于主动脉瓣置换的定制假体瓣膜。

公开(公告)号：US09177103B2

公开(公告)日：2015-11-03

申请号：US13575772

申请日：2011-01-28

申请人： Yogish Mallya ,  Shivakumar Kunigal Ramaswamy ,  Narayanan Ayyakad Krishnan ,  Lyubomir Georgiev Zagorchev

发明人： Yogish Mallya ,  Shivakumar Kunigal Ramaswamy ,  Narayanan Ayyakad Krishnan ,  Lyubomir Georgiev Zagorchev

IPC分类号： G06F19/00

CPC分类号： G06F19/321 ,  G06F19/00 ,  G16H10/20

摘要： A system for processing multi-subject volumes comprises a volume input (1) for receiving an input volume image dataset (13) comprising a plurality of subjects scanned simultaneously. A metadata input (2) receives metadata (15) relating to individual ones of the subjects. A subject finder (3) identifies a plurality of portions of the input volume image dataset (13), each portion comprising one of the subjects. A volume image dataset generator (4) generates a plurality of separate volume image datasets (16), each separate volume image dataset (7) comprising one of the portions of the input volume image dataset. A metadata handler (5) associates the metadata (15) relating to a subject with the separate volume image dataset (7) comprising the portion comprising the subject.

摘要翻译： 一种用于处理多目标体积的系统包括用于接收包括同时扫描的多个被摄体的输入体积图像数据集（13）的体积输入（1）。 元数据输入（2）接收与个体个体有关的元数据（15）。 主体取景器（3）识别输入音量图像数据集（13）的多个部分，每个部分包括其中一个被摄体。 卷图像数据集生成器（4）生成多个单独的卷图像数据集（16），每个单独的卷图像数据集（7）包括输入卷图像数据集的部分之一。 元数据处理器（5）将与被摄体有关的元数据（15）与包括该对象的部分的单独的卷图像数据集（7）相关联。

公开(公告)号：US20120308097A1

公开(公告)日：2012-12-06

申请号：US13575772

申请日：2011-01-28

申请人： Yogish Mallya ,  Shivakumar Kunigal Ramaswamy ,  Narayanan Ayyakad Krishnan ,  Lyubomir Georgiev Zagorchev

发明人： Yogish Mallya ,  Shivakumar Kunigal Ramaswamy ,  Narayanan Ayyakad Krishnan ,  Lyubomir Georgiev Zagorchev

IPC分类号： G06K9/62

CPC分类号： G06F19/321 ,  G06F19/00 ,  G16H10/20

摘要： A system for processing multi-subject volumes comprises a volume input (1) for receiving an input volume image dataset (13) comprising a plurality of subjects scanned simultaneously. A metadata input (2) receives metadata (15) relating to individual ones of the subjects. A subject finder (3) identifies a plurality of portions of the input volume image dataset (13), each portion comprising one of the subjects. A volume image dataset generator (4) generates a plurality of separate volume image datasets (16), each separate volume image dataset (7) comprising one of the portions of the input volume image dataset. A metadata handler (5) associates the metadata (15) relating to a subject with the separate volume image dataset (7) comprising the portion comprising the subject.

摘要翻译： 一种用于处理多目标体积的系统包括用于接收包括同时扫描的多个被摄体的输入体积图像数据集（13）的体积输入（1）。 元数据输入（2）接收与个体个体有关的元数据（15）。 主体取景器（3）识别输入音量图像数据集（13）的多个部分，每个部分包括其中一个被摄体。 卷图像数据集生成器（4）生成多个单独的卷图像数据集（16），每个单独的卷图像数据集（7）包括输入卷图像数据集的部分之一。 元数据处理器（5）将与被摄体有关的元数据（15）与包括该对象的部分的单独的卷图像数据集（7）相关联。