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1. 发明授权

US09785858B2 Method and system for hierarchical parsing and semantic navigation of full body computed tomography data 有权
公开(公告)号：US09785858B2
公开(公告)日：2017-10-10
申请号：US12567197
申请日：2009-09-25
申请人： Sascha Seifert , Adrian Barbu , Shaohua Kevin Zhou , David Liu , Johannes Feulner , Martin Huber , Michael Suehling , Alexander Cavallaro , Dorin Comaniciu
发明人： Sascha Seifert , Adrian Barbu , Shaohua Kevin Zhou , David Liu , Johannes Feulner , Martin Huber , Michael Suehling , Alexander Cavallaro , Dorin Comaniciu
IPC分类号： G06K9/00 , G06K9/46 , G06T7/11 , G06T7/143
CPC分类号： G06K9/4638 , G06K2209/05 , G06T7/11 , G06T7/143 , G06T2207/10081 , G06T2207/20081 , G06T2207/20128 , G06T2207/30048 , G06T2207/30056
摘要： A method and apparatus for hierarchical parsing and semantic navigation of a full or partial body computed tomography CT scan is disclosed. In particular, organs are segmented and anatomic landmarks are detected in a full or partial body CT volume. One or more predetermined slices of the CT volume are detected. A plurality of anatomic landmarks and organ centers are then detected in the CT volume using a discriminative anatomical network, each detected in a portion of the CT volume constrained by at least one of the detected slices. A plurality of organs, such as heart, liver, kidneys, spleen, bladder, and prostate, are detected in a sense of a bounding box and segmented in the CT volume, detection of each organ bounding box constrained by the detected organ centers and anatomic landmarks. Organ segmentation is via a database-guided segmentation method.

2. 发明申请

US20100080434A1 Method and System for Hierarchical Parsing and Semantic Navigation of Full Body Computed Tomography Data 有权
标题翻译：全身计算机断层扫描数据的分层解析和语义导航方法与系统
公开(公告)号：US20100080434A1
公开(公告)日：2010-04-01
申请号：US12567197
申请日：2009-09-25
申请人： Sascha Seifert , Adrian Barbu , Shaohua Kevin Zhou , David Liu , Johannes Feulner , Martin Huber , Michael Suehling , Alexander Cavallaro , Dorin Comaniciu
发明人： Sascha Seifert , Adrian Barbu , Shaohua Kevin Zhou , David Liu , Johannes Feulner , Martin Huber , Michael Suehling , Alexander Cavallaro , Dorin Comaniciu
IPC分类号： G06K9/00
CPC分类号： G06K9/4638 , G06K2209/05 , G06T7/11 , G06T7/143 , G06T2207/10081 , G06T2207/20081 , G06T2207/20128 , G06T2207/30048 , G06T2207/30056
摘要： A method and apparatus for hierarchical parsing and semantic navigation of a full or partial body computed tomography CT scan is disclosed. In particular, organs are segmented and anatomic landmarks are detected in a full or partial body CT volume. One or more predetermined slices of the CT volume are detected. A plurality of anatomic landmarks and organ centers are then detected in the CT volume using a discriminative anatomical network, each detected in a portion of the CT volume constrained by at least one of the detected slices. A plurality of organs, such as heart, liver, kidneys, spleen, bladder, and prostate, are detected in a sense of a bounding box and segmented in the CT volume, detection of each organ bounding box constrained by the detected organ centers and anatomic landmarks. Organ segmentation is via a database-guided segmentation method.
摘要翻译：公开了一种用于全身或部分身体计算机断层摄影CT扫描的分层解析和语义导航的方法和装置。特别地，器官被分割，并且在全身或部分体CT体积中检测解剖标志物。检测CT体积的一个或多个预定切片。然后使用辨别性解剖网络在CT体积中检测多个解剖标志和器官中心，每个解剖学网络在CT体积的一部分中被至少一个检测到的切片所约束。检测多个器官，如心脏，肝脏，肾脏，脾脏，膀胱和前列腺，并在CT体积中被分割，并在被检测到的器官中枢和解剖学上受到限制的每个器官界限盒的检测地标器官分割是通过数据库引导的分割方法。

3. 发明授权

US09025841B2 Method and system for segmentation of the prostate in 3D magnetic resonance images 有权
标题翻译： 3D磁共振图像前列腺分割方法与系统
公开(公告)号：US09025841B2
公开(公告)日：2015-05-05
申请号：US12946909
申请日：2010-11-16
申请人： Michael Wels , Michael Suehling , Michael Kelm , Sascha Seifert , Maria Jimena Costa , Alexander Cavallaro , Martin Huber , Dorin Comaniciu
发明人： Michael Wels , Michael Suehling , Michael Kelm , Sascha Seifert , Maria Jimena Costa , Alexander Cavallaro , Martin Huber , Dorin Comaniciu
IPC分类号： G06K9/00 , G06K9/62 , G06T7/00
CPC分类号： G06K9/6207 , G06T7/0012 , G06T7/12 , G06T7/149 , G06T2207/10081 , G06T2207/10088 , G06T2207/30081
摘要： A method and system for fully automatic segmentation the prostate in multi-spectral 3D magnetic resonance (MR) image data having one or more scalar intensity values per voxel is disclosed. After intensity standardization of multi-spectral 3D MR image data, a prostate boundary is detected in the multi-spectral 3D MR image data using marginal space learning (MSL). The detected prostate boundary is refined using one or more trained boundary detectors. The detected prostate boundary can be split into patches corresponding to anatomical regions of the prostate and the detected prostate boundary can be refined using trained boundary detectors corresponding to the patches.
摘要翻译：公开了一种用于在具有每个体素具有一个或多个标量强度值的多光谱3D磁共振（MR）图像数据中全息自动分割前列腺的方法和系统。在多光谱3D MR图像数据的强度标准化之后，使用边缘空间学习（MSL）在多光谱3D MR图像数据中检测前列腺边界。使用一个或多个训练有素的边界检测器来精确检测前列腺边界。检测到的前列腺边界可以分裂成对应于前列腺的解剖区域的斑块，并且可以使用对应于斑块的训练边界检测器来精细检测检测到的前列腺边界。

4. 发明申请

US20110116698A1 Method and System for Segmentation of the Prostate in 3D Magnetic Resonance Images 有权
标题翻译：三维磁共振图像前列腺分割方法与系统
公开(公告)号：US20110116698A1
公开(公告)日：2011-05-19
申请号：US12946909
申请日：2010-11-16
申请人： Michael Weis , Michael Suehling , Michael Kelm , Sascha Seifert , Maria Jimena Costa , Alexander Cavallaro , Martin Huber , Dorin Comaniciu
发明人： Michael Weis , Michael Suehling , Michael Kelm , Sascha Seifert , Maria Jimena Costa , Alexander Cavallaro , Martin Huber , Dorin Comaniciu
IPC分类号： G06K9/00
CPC分类号： G06K9/6207 , G06T7/0012 , G06T7/12 , G06T7/149 , G06T2207/10081 , G06T2207/10088 , G06T2207/30081
摘要： A method and system for fully automatic segmentation the prostate in multi-spectral 3D magnetic resonance (MR) image data having one or more scalar intensity values per voxel is disclosed. After intensity standardization of multi-spectral 3D MR image data, a prostate boundary is detected in the multi-spectral 3D MR image data using marginal space learning (MSL). The detected prostate boundary is refined using one or more trained boundary detectors. The detected prostate boundary can be split into patches corresponding to anatomical regions of the prostate and the detected prostate boundary can be refined using trained boundary detectors corresponding to the patches.
摘要翻译：公开了一种用于在具有每个体素具有一个或多个标量强度值的多光谱3D磁共振（MR）图像数据中全息自动分割前列腺的方法和系统。在多光谱3D MR图像数据的强度标准化之后，使用边缘空间学习（MSL）在多光谱3D MR图像数据中检测前列腺边界。使用一个或多个训练有素的边界检测器来精确检测前列腺边界。检测到的前列腺边界可以分裂成对应于前列腺的解剖区域的斑块，并且可以使用对应于斑块的训练边界检测器来精细检测检测到的前列腺边界。

5. 发明授权

US10489673B2 System and method for detecting landmarks in a three-dimensional image volume 有权
公开(公告)号：US10489673B2
公开(公告)日：2019-11-26
申请号：US12728315
申请日：2010-03-22
申请人： David Liu , Shaohua Kevin Zhou , Sascha Seifert , Dominik Bernhardt , Dorin Comaniciu
发明人： David Liu , Shaohua Kevin Zhou , Sascha Seifert , Dominik Bernhardt , Dorin Comaniciu
IPC分类号： G06K9/46
CPC分类号： G06K9/4638
摘要： A method and apparatus for detecting vascular landmarks in a 3D image volume, such as a CT volume, is disclosed. One or more guide slices are detected in a 3D image volume. A set of landmark candidates for multiple target vascular landmarks are then detected based on the guide slices. A node potential value for each landmark candidate is generated based on an error value determined using spatial histogram-based error regression, and edge potential values for pairs of landmark candidates are generated based on a bifurcation analysis of the image volume using vessel tracing. The optimal landmark candidate for each target landmark is then determined using a Markov random field model based on the node potential values and the edge potential values.

6. 发明申请

US20100254582A1 System and Method for Detecting Landmarks in a Three-Dimensional Image Volume 审中-公开
标题翻译：用于检测三维图像体积中的地标的系统和方法
公开(公告)号：US20100254582A1
公开(公告)日：2010-10-07
申请号：US12728315
申请日：2010-03-22
申请人： David Liu , Shaohua Kevin Zhou , Sascha Seifert , Dominik Bernhardt , Dorin Comaniciu
发明人： David Liu , Shaohua Kevin Zhou , Sascha Seifert , Dominik Bernhardt , Dorin Comaniciu
IPC分类号： G06K9/00
CPC分类号： G06K9/4638 , G06K2009/00932 , G06K2209/05 , G06T7/0012 , G06T7/46 , G06T2207/10081 , G06T2207/20016 , G06T2207/20072 , G06T2207/20081 , G06T2207/30101
摘要： A method and apparatus for detecting vascular landmarks in a 3D image volume, such as a CT volume, is disclosed. One or more guide slices are detected in a 3D image volume. A set of landmark candidates for multiple target vascular landmarks are then detected based on the guide slices. A node potential value for each landmark candidate is generated based on an error value determined using spatial histogram-based error regression, and edge potential values for pairs of landmark candidates are generated based on a bifurcation analysis of the image volume using vessel tracing. The optimal landmark candidate for each target landmark is then determined using a Markov random field model based on the node potential values and the edge potential values.
摘要翻译：公开了用于检测诸如CT体积的3D图像体积中的血管界标的方法和装置。在3D图像体积中检测到一个或多个引导切片。然后基于引导片检测一组用于多个目标血管标志的地标候选物。基于使用基于空间直方图的误差回归确定的误差值来生成每个地标候选的节点电位值，并且基于使用容器跟踪的图像体积的分岔分析来生成地标候选对的边缘电势值。然后使用基于节点电位值和边缘电位值的马尔科夫随机场模型来确定每个目标地标的最佳地标候选。

7. 发明申请

US20110235887A1 Computer-Aided Evaluation Of An Image Dataset 有权
标题翻译：计算机辅助评估图像数据集
公开(公告)号：US20110235887A1
公开(公告)日：2011-09-29
申请号：US13053263
申请日：2011-03-22
申请人： Rüdiger Bertsch , Roland Brill , Alexander Cavallaro , Maria Jimena Costa , Martin Huber , Michael Kelm , Helmut König , Sascha Seifert , Michael Wels
发明人： Rüdiger Bertsch , Roland Brill , Alexander Cavallaro , Maria Jimena Costa , Martin Huber , Michael Kelm , Helmut König , Sascha Seifert , Michael Wels
IPC分类号： G06K9/00
CPC分类号： A61B6/5217 , A61B5/055 , A61B5/415 , A61B5/418 , A61B5/4842 , G06F19/00 , G06F19/321 , G16H50/20
摘要： A method and system for the diagnosis of 3D images are disclosed, which significantly cuts the time required for the diagnosis. The 3D images are for example an image volume dataset of a magnetic resonance tomography system which is saved in an RIS or PACS system. In at least one embodiment, the diagnostic finding are partially automatically generated, and details of the position, size and change in pathological structures are compared to previous diagnostic findings are generated automatically. As a result of this automation the diagnostic work of radiologists is significantly reduced.
摘要翻译：公开了用于诊断3D图像的方法和系统，其显着地缩短了诊断所需的时间。 3D图像例如是保存在RIS或PACS系统中的磁共振断层摄影系统的图像体积数据集。在至少一个实施例中，部分地自动生成诊断发现，并且自动地生成病理结构的位置，大小和变化的细节与先前的诊断结果进行比较。由于这种自动化，放射科医师的诊断工作显着减少。

8. 发明授权

US09545238B2 Computer-aided evaluation of an image dataset 有权
标题翻译：计算机辅助评估图像数据集
公开(公告)号：US09545238B2
公开(公告)日：2017-01-17
申请号：US13053263
申请日：2011-03-22
申请人： Rüdiger Bertsch , Roland Brill , Alexander Cavallaro , Maria Jimena Costa , Martin Huber , Michael Kelm , Helmut König , Sascha Seifert , Michael Wels
发明人： Rüdiger Bertsch , Roland Brill , Alexander Cavallaro , Maria Jimena Costa , Martin Huber , Michael Kelm , Helmut König , Sascha Seifert , Michael Wels
IPC分类号： G06F19/00 , A61B6/00 , A61B5/055 , A61B5/00
CPC分类号： A61B6/5217 , A61B5/055 , A61B5/415 , A61B5/418 , A61B5/4842 , G06F19/00 , G06F19/321 , G16H50/20
摘要： A method and system for the diagnosis of 3D images are disclosed, which significantly cuts the time required for the diagnosis. The 3D images are for example an image volume dataset of a magnetic resonance tomography system which is saved in an RIS or PACS system. In at least one embodiment, the diagnostic finding are partially automatically generated, and details of the position, size and change in pathological structures are compared to previous diagnostic findings are generated automatically. As a result of this automation the diagnostic work of radiologists is significantly reduced.
摘要翻译：公开了用于诊断3D图像的方法和系统，其显着地缩短了诊断所需的时间。 3D图像例如是保存在RIS或PACS系统中的磁共振断层摄影系统的图像体积数据集。在至少一个实施例中，部分地自动生成诊断发现，并且自动地生成病理结构的位置，大小和变化的细节与先前的诊断结果进行比较。由于这种自动化，放射科医师的诊断工作显着减少。

9. 发明申请

US20110182493A1 METHOD AND A SYSTEM FOR IMAGE ANNOTATION 审中-公开
标题翻译：方法和一种用于图像注释的系统
公开(公告)号：US20110182493A1
公开(公告)日：2011-07-28
申请号：US12711363
申请日：2010-02-24
申请人： Martin HUBER , Michael Kelm , Sascha Seifert
发明人： Martin HUBER , Michael Kelm , Sascha Seifert
IPC分类号： G06K9/00 , G06K9/34 , G06F3/048
CPC分类号： G06F19/321 , G16H15/00
摘要： A method and a system are disclosed for image annotation of images, in particular two- and three-dimensional medical images. In at least one embodiment, the image annotation system includes an image parser which parses images retrieved from an image database or provided by an image acquisition apparatus and segments each image into image regions. The image can be provided by any kind of image acquisition apparatus such as a digital camera an x-ray apparatus, a computer tomograph or a magnetic resonance scanning apparatus. Each segmented image regions is annotated automatically with annotation data and stored in an annotation database. In at least one embodiment, the system includes at least one user terminal which loads at least one selected image from said image database and retrieved the corresponding annotation data of all segmented image regions of said image from said annotation database for further annotation of the image. The image annotation system, in at least one embodiment, allows for a more efficient and more reliable annotation of images which can be further processed to generate automatically reports for examples of patients in a hospital. The image annotation method and system according to at least one embodiment of the invention, can be used in a wide range of applications in particular of annotation of medical images but also in security systems as well as in the developments of prototypes of complex apparatuses such as automobiles.
摘要翻译：公开了用于图像的图像注释的方法和系统，特别是二维和三维医学图像。在至少一个实施例中，图像注释系统包括图像解析器，其解析从图像数据库检索或由图像获取装置提供的图像，并将每个图像分割成图像区域。该图像可以由诸如数字照相机，X射线设备，计算机断层摄影机或磁共振扫描设备的任何种类的图像采集设备提供。每个分割的图像区域都使用注释数据自动注释并存储在注释数据库中。在至少一个实施例中，系统包括至少一个用户终端，其从所述图像数据库加载至少一个选定的图像，并且从所述注释数据库检索所述图像的所有分割图像区域的对应注释数据，以进一步注释图像。在至少一个实施例中，图像注释系统允许图像的更有效和更可靠的注释，其可被进一步处理以自动生成报告，用于医院中患者的示例。根据本发明的至少一个实施例的图像注释方法和系统可以用于特别是医学图像的注释的广泛应用中，但也可以用于安全系统以及复杂装置的原型开发中，例如汽车

10. 发明申请

US20130036111A2 METHODS AND DEVICESFOR DATA RETRIEVAL 有权
标题翻译：方法和设备数据检索
公开(公告)号：US20130036111A2
公开(公告)日：2013-02-07
申请号：US13370363
申请日：2012-02-10
申请人： Martin Kramer , Marisa Petri , Sascha Seifert
发明人： Martin Kramer , Marisa Petri , Sascha Seifert
IPC分类号： G06F17/30
CPC分类号： G06F17/30247 , G06F17/30265 , G06F17/30277
摘要： Methods and device are disclosed for data retrieval. At first images and reports are analyzed by respective parser units to detect both structures and text passages that are related to respective structures and text passages of a knowledge database. The detected structures and text passages are stored together with a unique resource located that identifies the respective structure and/or text passage at the knowledge database in a semantic annotation database. In addition a feature extraction can be performed to provide specific features of the images and/or regions of the images, whereby the features are stored in an image feature database. Finally an input query can ask questions that are used to provide a result to the query based on the semantic annotation database and the image feature database. The methods and devices may be used for data preparation and data retrieval of medical images and associated medical reports.
摘要翻译：公开了用于数据检索的方法和装置。首先，图像和报告由相应的解析器单元进行分析，以检测与知识数据库的相应结构和文本段落相关的结构和文本段落。检测到的结构和文本段与存储在唯一资源中的唯一资源一起存储，该资源标识语义注释数据库中的知识数据库处的相应结构和/或文本段落。此外，可以执行特征提取以提供图像和/或图像的区域的特定特征，由此将特征存储在图像特征数据库中。最后，输入查询可以提出用于根据语义注释数据库和图像特征数据库向查询提供结果的问题。方法和装置可用于医学图像和相关医疗报告的数据准备和数据检索。

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