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1. 发明授权

US09042620B2 Method and system for multi-organ segmentation using learning-based segmentation and level set optimization 有权
标题翻译：使用基于学习的分割和水平集优化的多器官分割的方法和系统
公开(公告)号：US09042620B2
公开(公告)日：2015-05-26
申请号：US13416508
申请日：2012-03-09
申请人： Timo Kohlberger , Michal Sofka , Jens Wetzl , Jingdan Zhang , Shaohua Kevin Zhou , Neil Birkbeck , Jerome Declerck , Jens Kaftan
发明人： Timo Kohlberger , Michal Sofka , Jens Wetzl , Jingdan Zhang , Shaohua Kevin Zhou , Neil Birkbeck , Jerome Declerck , Jens Kaftan
IPC分类号： G06K9/00 , G06T7/00 , G06K9/62
CPC分类号： G06T7/0083 , G06K9/6209 , G06T7/12 , G06T2207/10081 , G06T2207/20081 , G06T2207/20161 , G06T2207/30048 , G06T2207/30084
摘要： A method and system for automatic multi-organ segmentation in a 3D image, such as a 3D computed tomography (CT) volume using learning-base segmentation and level set optimization is disclosed. A plurality of meshes are segmented in a 3D medical image, each mesh corresponding to one of a plurality of organs. A level set in initialized by converting each of the plurality of meshes to a respective signed distance map. The level set optimized by refining the signed distance map corresponding to each one of the plurality of organs to minimize an energy function.
摘要翻译：公开了一种3D图像自动多器官分割的方法和系统，例如使用学习型基础分割和级别集优化的3D计算机断层摄影（CT）体积。在3D医学图像中分割多个网格，每个网格对应于多个器官中的一个。通过将多个网格中的每一个转换为相应的带符号距离图来初始化的级别。通过精化对应于多个器官中的每一个的有符号距离图来最优化能量函数来优化的级别集合。

2. 发明申请

US20120230572A1 Method and System for Multi-Organ Segmentation Using Learning-Based Segmentation and Level Set Optimization 有权
标题翻译：使用基于学习的分割和级别集优化的多器官分割的方法和系统
公开(公告)号：US20120230572A1
公开(公告)日：2012-09-13
申请号：US13416508
申请日：2012-03-09
申请人： Timo Kohlberger , Michal Sofka , Jens Wetzl , Jingdan Zhang , Shaohua Kevin Zhou , Neil Birkbeck , Jerome Declerck , Jens Kaftan
发明人： Timo Kohlberger , Michal Sofka , Jens Wetzl , Jingdan Zhang , Shaohua Kevin Zhou , Neil Birkbeck , Jerome Declerck , Jens Kaftan
IPC分类号： G06K9/34
CPC分类号： G06T7/0083 , G06K9/6209 , G06T7/12 , G06T2207/10081 , G06T2207/20081 , G06T2207/20161 , G06T2207/30048 , G06T2207/30084
摘要： A method and system for automatic multi-organ segmentation in a 3D image, such as a 3D computed tomography (CT) volume using learning-base segmentation and level set optimization is disclosed. A plurality of meshes are segmented in a 3D medical image, each mesh corresponding to one of a plurality of organs. A level set in initialized by converting each of the plurality of meshes to a respective signed distance map. The level set optimized by refining the signed distance map corresponding to each one of the plurality of organs to minimize an energy function.
摘要翻译：公开了一种3D图像自动多器官分割的方法和系统，例如使用学习型基础分割和级别集优化的3D计算机断层摄影（CT）体积。在3D医学图像中分割多个网格，每个网格对应于多个器官中的一个。通过将多个网格中的每一个转换为相应的带符号距离图来初始化的级别。通过精化对应于多个器官中的每一个的有符号距离图来最优化能量函数来优化的级别集合。

3. 发明申请

US20140233822A1 METHOD FOR COMBINING MULTIPLE IMAGE DATA SETS INTO ONE MULTI-FUSED IMAGE 有权
标题翻译：将多个图像数据组合成一个多重图像的方法
公开(公告)号：US20140233822A1
公开(公告)日：2014-08-21
申请号：US14185437
申请日：2014-02-20
申请人： Jens Kaftan , Matthew David Kelly
发明人： Jens Kaftan , Matthew David Kelly
IPC分类号： G06T11/60
CPC分类号： A61B5/055 , A61B5/0035
摘要： In a method and an apparatus to visualize nuclear medicine data from different modalities in a single image, image data sets acquired with different modalities are aligned with a data set representing corresponding anatomical data. The image data in each data set are segmented into separate regions, representing respective structures of interest, with reference to a segmentation derived from anatomical data. For each region, a corresponding segment of image data is selected from a selected image data set. The selected segments of the image data set are combined to generate a multi-fused image of the regions, by applying spatially dependent look-up tables to the multiple image data sets, thereby to determine whether each data set is hidden or displayed in each region.
摘要翻译：在用于在单个图像中从不同模态可视化核医学数据的方法和装置中，用不同模态获取的图像数据集与表示对应解剖数据的数据集对齐。参考从解剖数据导出的分割，将每个数据集中的图像数据分割成分开的区域，表示感兴趣的相应结构。对于每个区域，从所选择的图像数据集中选择相应的图像数据段。通过对多个图像数据集应用空间相关的查找表，组合图像数据集的所选择的段以产生该区域的多融合图像，从而确定每个数据集是否被隐藏或显示在每个区域中。

4. 发明申请

US20130332868A1 FACILITATING USER-INTERACTIVE NAVIGATION OF MEDICAL IMAGE DATA 审中-公开
标题翻译：促进医学图像数据的用户交互导航
公开(公告)号：US20130332868A1
公开(公告)日：2013-12-12
申请号：US13913842
申请日：2013-06-10
申请人： Jens Kaftan
发明人： Jens Kaftan
IPC分类号： G06F3/0481
CPC分类号： G06F3/0481 , G06F19/321 , G06T19/00 , G06T2200/24 , G06T2210/41 , G06T2219/028
摘要： In a method and system for facilitating user-interactive navigation of medical image data, a set of medical imaging data of a subject is obtained and, from the medical imaging data an image volume reviewable by a user is generated. From the imaging data, a navigation map is generated that is a user-interactive image that shows the image volume. The navigation map is displayed alongside an image representing a region of the image volume. A selected part of the image volume is identified for review in response to a user selection of a location on the navigation map corresponding to the part.
摘要翻译：在促进医学图像数据的用户交互导航的方法和系统中，获得对象的一组医学成像数据，并且从医学成像数据获得用户可以查看的图像容量。从成像数据中，生成作为显示图像体积的用户交互图像的导航图。导航地图与表示图像体积的区域的图像一起显示。响应于用户选择对应于该部分的导航地图上的位置，识别图像卷的选定部分以进行审查。

5. 发明授权

US09697586B2 Method and apparatus for generating an enhanced image from medical imaging data 有权
公开(公告)号：US09697586B2
公开(公告)日：2017-07-04
申请号：US13650284
申请日：2012-10-12
申请人： Jens Kaftan , Matthew David Kelly , Guenther Platsch
发明人： Jens Kaftan , Matthew David Kelly , Guenther Platsch
IPC分类号： G06K9/00 , G06T5/00 , G06T7/00
CPC分类号： G06T5/00 , G06T7/0012 , G06T2207/10104 , G06T2207/30008 , G06T2207/30172
摘要： In a method and apparatus for generating an enhanced image for display from medical imaging data of a subject, a feature of interest in the imaging data elongated in at least one dimension is determined. A location of a line through the imaging data along the feature of interest is obtained, and a projection image along the line is generated from the imaging data.

6. 发明申请

US20130101197A1 METHOD AND APPARATUS FOR GENERATING AN ENHANCED IMAGE FROM MEDICAL IMAGING DATA 有权
标题翻译：用于从医学成像数据生成增强图像的方法和装置
公开(公告)号：US20130101197A1
公开(公告)日：2013-04-25
申请号：US13650284
申请日：2012-10-12
申请人： Jens Kaftan , Matthew David Kelly , Guenther Platsch
发明人： Jens Kaftan , Matthew David Kelly , Guenther Platsch
IPC分类号： G06T5/00
CPC分类号： G06T5/00 , G06T7/0012 , G06T2207/10104 , G06T2207/30008 , G06T2207/30172
摘要： In a method and apparatus for generating an enhanced image for display from medical imaging data of a subject, a feature of interest in the imaging data elongated in at least one dimension is determined. A location of a line through the imaging data along the feature of interest is obtained, and a projection image along the line is generated from the imaging data.
摘要翻译：在用于生成用于从被摄体的医学成像数据显示的增强图像的方法和装置中，确定在至少一个维度上延长的成像数据中感兴趣的特征。获得通过沿着感兴趣特征的成像数据的线的位置，并且从成像数据生成沿着线的投影图像。

7. 发明申请

US20070001879A1 System and Method For Path Based Tree Matching 有权
标题翻译：基于路径的树匹配的系统和方法
公开(公告)号：US20070001879A1
公开(公告)日：2007-01-04
申请号：US11424948
申请日：2006-06-19
申请人： Jens Kaftan , Atilla Kiraly , Carol Novak
发明人： Jens Kaftan , Atilla Kiraly , Carol Novak
IPC分类号： H03M7/00
CPC分类号： G06T7/0012 , G06K9/6206 , G06T7/344 , G06T2207/10072 , G06T2207/20044 , G06T2207/20072 , G06T2207/20128 , G06T2207/30061 , G06T2207/30101
摘要： A system and method for tree matching are provided. The method for tree matching includes; acquiring tree-like structures representing a physical object or model; extracting a path from a first tree-like structure and a path from a second tree-like structure; comparing the paths of the first and second tree-like structures by computing a similarity measurement for the paths; and determining if the paths match based on the similarity measurement.
摘要翻译：提供了一种用于树匹配的系统和方法。树匹配的方法包括：获取表示物理对象或模型的树状结构; 从第一树状结构和从第二树状结构的路径提取路径; 通过计算路径的相似度测量来比较第一和第二树状结构的路径; 以及基于所述相似度测量来确定所述路径是否匹配。

8. 发明授权

US09220438B2 Method for combining multiple image data sets into one multi-fused image 有权
标题翻译：将多个图像数据组合成一个多融合图像的方法
公开(公告)号：US09220438B2
公开(公告)日：2015-12-29
申请号：US14185437
申请日：2014-02-20
申请人： Jens Kaftan , Matthew David Kelly
发明人： Jens Kaftan , Matthew David Kelly
IPC分类号： A61B5/055 , A61B5/00
CPC分类号： A61B5/055 , A61B5/0035
摘要： In a method and an apparatus to visualize nuclear medicine data from different modalities in a single image, image data sets acquired with different modalities are aligned with a data set representing corresponding anatomical data. The image data in each data set are segmented into separate regions, representing respective structures of interest, with reference to a segmentation derived from anatomical data. For each region, a corresponding segment of image data is selected from a selected image data set. The selected segments of the image data set are combined to generate a multi-fused image of the regions, by applying spatially dependent look-up tables to the multiple image data sets, thereby to determine whether each data set is hidden or displayed in each region.
摘要翻译：在用于在单个图像中从不同模态可视化核医学数据的方法和装置中，用不同模态获取的图像数据集与表示对应解剖数据的数据集对齐。参考从解剖数据导出的分割，将每个数据集中的图像数据分割成分开的区域，表示感兴趣的相应结构。对于每个区域，从所选择的图像数据集中选择相应的图像数据段。通过对多个图像数据集应用空间相关的查找表，组合图像数据集合的所选择的段以产生该区域的多融合图像，从而确定每个数据集是否被隐藏或显示在每个区域中。

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