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1. 发明申请

US20140161337A1 Adaptive Anatomical Region Prediction 有权
标题翻译：自适应解剖区域预测
公开(公告)号：US20140161337A1
公开(公告)日：2014-06-12
申请号：US14096206
申请日：2013-12-04
申请人： Vikas C. Raykar , Yiqiang Zhan , Maneesh Dewan , Gerardo Hermosillo Valadez , Zhigang Peng , Xiang Sean Zhou
发明人： Vikas C. Raykar , Yiqiang Zhan , Maneesh Dewan , Gerardo Hermosillo Valadez , Zhigang Peng , Xiang Sean Zhou
IPC分类号： G06K9/62 , G06T7/00
CPC分类号： G06K9/6202 , G06K9/6211 , G06K9/629 , G06T7/33 , G06T2207/10072 , G06T2207/30016 , G06T2207/30096
摘要： Disclosed herein is a framework for facilitating adaptive anatomical region prediction. In accordance with one aspect, a set of exemplar images including annotated first landmarks is received. User definitions of first anatomical regions in the exemplar images are obtained. The framework may detect second landmarks in a subject image. It may further compute anatomical similarity scores between the subject image and the exemplar images based on the first and second landmarks, and predict a second anatomical region in the subject image by adaptively combining the first anatomical regions based on the anatomical similarity scores.
摘要翻译：本文公开了一种用于促进适应性解剖区域预测的框架。根据一个方面，接收包括注释的第一地标的一组示例图像。获得示例图像中的第一解剖区域的用户定义。框架可以检测主题图像中的第二地标。它还可以基于第一和第二界标进一步计算对象图像和样本图像之间的解剖学相似性得分，并且基于解剖学相似性得分来自适应地组合第一解剖区域来预测对象图像中的第二解剖区域。

2. 发明申请

US20100303314A1 SYSTEMS AND METHODS FOR DETECTING AND VISUALIZING CORRESPONDENCE CORRIDORS ON TWO-DIMENSIONAL AND VOLUMETRIC MEDICAL IMAGES 有权
标题翻译：用于检测和观察二维和体积医学图像中的相关检测器的系统和方法
公开(公告)号：US20100303314A1
公开(公告)日：2010-12-02
申请号：US12789535
申请日：2010-05-28
申请人： Yuanhsi (Tony) Chen , Zhigang Peng , Venkat Raghavan Ramamurthy , Xiang Sean Zhou
发明人： Yuanhsi (Tony) Chen , Zhigang Peng , Venkat Raghavan Ramamurthy , Xiang Sean Zhou
IPC分类号： G06K9/00
CPC分类号： G06T7/0028 , G06T7/33 , G06T2207/10072 , G06T2207/30004
摘要： A method is provided for detecting a corresponding region of interest in digital medical images, the method including receiving a plurality of digital images including a primary image, at least one of the images being a projective image, identifying anatomical landmarks and structures within each of the images and correlating the images based on the identified anatomical landmarks and structures identifying a location of interest in the primary image, and automatically identifying a region of interest in the rest of the images, the region of interest corresponding to the identified location of interest in the primary image.
摘要翻译：提供了一种用于检测数字医学图像中的对应的感兴趣区域的方法，所述方法包括接收包括主图像的多个数字图像，所述图像中的至少一个是投影图像，识别每个图像内的解剖标志和结构图像并且基于所识别的解剖学标记和识别主要图像中感兴趣的位置的结构对图像进行关联，并且自动识别其余图像中的感兴趣区域，与所识别的感兴趣的位置相对应的感兴趣区域在主要形象

3. 发明申请

US20090226081A1 System and Method for Detecting and Matching Anatomical Structures Using Appearance and Shape 有权
标题翻译：使用外观和形状检测和匹配解剖结构的系统和方法
公开(公告)号：US20090226081A1
公开(公告)日：2009-09-10
申请号：US12401899
申请日：2009-03-11
申请人： Xiang Sean Zhou , Bogdan Georgescu , Dorin Comaniciu , R. Bharat Rao , Alok Gupta
发明人： Xiang Sean Zhou , Bogdan Georgescu , Dorin Comaniciu , R. Bharat Rao , Alok Gupta
IPC分类号： G06K9/62
CPC分类号： G06K9/6206 , G06K9/6256 , G06T7/12 , G06T7/149 , G06T7/251 , G06T2207/10132 , G06T2207/30048
摘要： A detection framework that matches anatomical structures using appearance and shape is disclosed. A training set of images are used in which object shapes or structures are annotated in the images. A second training set of images represents negative examples for such shapes and structures, i.e., images containing no such objects or structures. A classification algorithm trained on the training sets is used to detect a structure at its location. The structure is matched to a counterpart in the training set that can provide details about the structure's shape and appearance.
摘要翻译：公开了一种使用外观和形状匹配解剖结构的检测框架。使用图像的训练集，其中在图像中注释对象形状或结构。图像的第二训练集表示这种形状和结构的负面例子，即不包含这样的对象或结构的图像。训练集训练的分类算法用于检测其位置的结构。该结构与训练集中的对应物匹配，可以提供关于结构形状和外观的细节。

4. 发明申请

US20090226040A1 SYSTEM AND METHOD FOR DETECTING AND MATCHING ANATOMICAL STRUCTURES USING APPEARANCE AND SHAPE 有权
标题翻译：使用外观和形状检测和匹配解剖结构的系统和方法
公开(公告)号：US20090226040A1
公开(公告)日：2009-09-10
申请号：US12401909
申请日：2009-03-11
申请人： Xiang Sean Zhou , Bogdan Georgescu , Dorin Comaniciu , R. Bharat Rao , Alok Gupta
发明人： Xiang Sean Zhou , Bogdan Georgescu , Dorin Comaniciu , R. Bharat Rao , Alok Gupta
IPC分类号： G06T7/20
CPC分类号： G06K9/6206 , G06K9/6256 , G06T7/12 , G06T7/149 , G06T7/251 , G06T2207/10132 , G06T2207/30048
摘要： A detection framework that matches anatomical structures using appearance and shape is disclosed. A training set of images are used in which object shapes or structures are annotated in the images. A second training set of images represents negative examples for such shapes and structures, i.e., images containing no such objects or structures. A classification algorithm trained on the training sets is used to detect a structure at its location. The structure is matched to a counterpart in the training set that can provide details about the structure's shape and appearance.
摘要翻译：公开了一种使用外观和形状匹配解剖结构的检测框架。使用图像的训练集，其中在图像中注释对象形状或结构。图像的第二训练集表示这种形状和结构的负面例子，即不包含这样的对象或结构的图像。训练集训练的分类算法用于检测其位置的结构。该结构与训练集中的对应物匹配，可以提供关于结构形状和外观的细节。

5. 发明申请

US20050147303A1 System and method for detecting and matching anatomical stuctures using appearance and shape 有权
标题翻译：使用外观和形状检测和匹配解剖结构的系统和方法
公开(公告)号：US20050147303A1
公开(公告)日：2005-07-07
申请号：US10991933
申请日：2004-11-18
申请人： Xiang Sean Zhou , Bogdan Georgescu , Dorin Comaniciu , R. Bharat Rao , Alok Gupta
发明人： Xiang Sean Zhou , Bogdan Georgescu , Dorin Comaniciu , R. Bharat Rao , Alok Gupta
IPC分类号： G06K9/62 , G06K9/64 , G06T7/00 , G06K9/00 , G06K9/46
CPC分类号： G06K9/6206 , G06K9/6256 , G06T7/12 , G06T7/149 , G06T7/251 , G06T2207/10132 , G06T2207/30048
摘要： A detection framework that matches anatomical structures using appearance and shape is disclosed. A training set of images are used in which object shapes or structures are annotated in the images. A second training set of images represents negative examples for such shapes and structures, i.e., images containing no such objects or structures. A classification algorithm trained on the training sets is used to detect a structure at its location. The structure is matched to a counterpart in the training set that can provide details about the structure's shape and appearance.
摘要翻译：公开了一种使用外观和形状匹配解剖结构的检测框架。使用图像的训练集，其中在图像中注释对象形状或结构。图像的第二训练集表示这种形状和结构的负面例子，即不包含这样的对象或结构的图像。训练集训练的分类算法用于检测其位置的结构。该结构与训练集中的对应物匹配，可以提供关于结构形状和外观的细节。

6. 发明授权

US09082231B2 Symmetry-based visualization for enhancing anomaly detection 有权
标题翻译：基于对称的可视化，用于增强异常检测
公开(公告)号：US09082231B2
公开(公告)日：2015-07-14
申请号：US13737987
申请日：2013-01-10
申请人： Xiang Sean Zhou , Gerardo Hermosillo Valadez
发明人： Xiang Sean Zhou , Gerardo Hermosillo Valadez
IPC分类号： G06K9/32 , G06K9/00 , G06T11/60 , G06T11/00 , G06T7/00 , G06T3/00
CPC分类号： G06T11/60 , G06T3/0068 , G06T7/0014 , G06T11/00 , G06T2200/24 , G06T2207/10072 , G06T2207/10116 , G06T2207/10136 , G06T2207/30004
摘要： Disclosed herein is a framework for facilitating symmetry-based visualization. In accordance with one aspect of the framework, one or more medical images are received. The medical images include first and second regions, wherein the first region is substantially symmetric to the second region. A transformation is performed on at least the second region to generate a transformed second region. The transformed second region is registered with the first region to generate an aligned second region. The aligned second region and the first region are then alternately displayed to assist anomaly detection.
摘要翻译：这里公开的是用于促进基于对称的可视化的框架。根据框架的一个方面，接收一个或多个医学图像。医学图像包括第一和第二区域，其中第一区域与第二区域基本对称。至少在第二区域进行变换以产生变换的第二区域。变换的第二区域与第一区域对齐以产生对准的第二区域。然后交替地显示排列的第二区域和第一区域以辅助异常检测。

7. 发明申请

US20140294263A1 Synchronized Navigation of Medical Images 有权
标题翻译：医学图像同步导航
公开(公告)号：US20140294263A1
公开(公告)日：2014-10-02
申请号：US13853174
申请日：2013-03-29
申请人： Gerardo Hermosillo Valadez , Marcos Salganicoff , Matthias Wolf , Xiang Sean Zhou , Yiqiang Zhan
发明人： Gerardo Hermosillo Valadez , Marcos Salganicoff , Matthias Wolf , Xiang Sean Zhou , Yiqiang Zhan
IPC分类号： G06T7/00
CPC分类号： G06T7/0028 , G06T7/33 , G06T2207/30004
摘要： Disclosed herein is a framework for facilitating synchronized image navigation. In accordance with one aspect, at least first and second medical images are received. A non-linear mapping between the first and second medical images is generated. A selection of a given location in the first medical image is received in response to a user's navigational operation. Without deforming the second medical image, a target location in the second medical image is determined by using the non-linear mapping. The target location corresponds to the given location in the first medical image. An optimized deformation-free view of the second medical image is generated based at least in part on the target location. While the user performs navigational operations on the first medical image, the framework repeatedly receives the selection of the given location, determines the target location using the non-linear mapping, and generates the optimized deformation-free view of the second medical image based at least in part on the target location.
摘要翻译：这里公开了一种促进同步图像导航的框架。根据一个方面，至少接收第一和第二医学图像。产生第一和第二医学图像之间的非线性映射。响应于用户的导航操作接收对第一医疗图像中的给定位置的选择。在不使第二医用图像变形的情况下，通过使用非线性映射来确定第二医用图像中的目标位置。目标位置对应于第一医疗图像中的给定位置。至少部分地基于目标位置产生第二医疗图像的优化的无变形视图。当用户在第一医学图像上执行导航操作时，框架重复地接收对给定位置的选择，使用非线性映射确定目标位置，并且至少基于第二医学图像生成优化的无变形视图部分在目标位置。

8. 发明申请

US20140003700A1 Fused-Image Visualization for Surgery Evaluation 有权
标题翻译：融合图像可视化手术评估
公开(公告)号：US20140003700A1
公开(公告)日：2014-01-02
申请号：US14017344
申请日：2013-09-04
申请人： Gerardo Hermosillo Valadez , Xiang Sean Zhou , Gerhard Kleinszig , Rainer Graumann
发明人： Gerardo Hermosillo Valadez , Xiang Sean Zhou , Gerhard Kleinszig , Rainer Graumann
IPC分类号： G06T11/00
CPC分类号： G06T11/003 , G06T7/0014 , G06T2207/30008
摘要： Disclosed herein is a framework for facilitating fused-image visualization for surgery evaluation. In accordance with one aspect of the framework, at least one pre-operative image and at least one intra-operative image of an anatomical structure are received. A region of interest may be identified in the intra-operative image. The pre-operative image may be straightened, and a symmetric region may be identified in the straightened pre-operative image. The symmetric region is substantially symmetrical to a target region in the straightened pre-operative region. The target region corresponds to the region of interest in the intra-operative image. The symmetric region may be extracted and reflected to generate a reference image. The intra-operative image may be rigidly registered with the reference image to generate registered intra-operative image, which is overlaid on the target region in the straightened pre-operative image to generate a fused image.
摘要翻译：本文公开了用于促进用于手术评估的融合图像可视化的框架。根据框架的一个方面，接收解剖结构的至少一个术前图像和至少一个手术内图像。可以在手术中的图像中识别感兴趣的区域。可以矫正术前图像，并且可以在矫正的手术前图像中识别对称区域。对称区域基本对称于矫正术前区域中的目标区域。目标区域对应于手术中图像中的感兴趣区域。对称区域可以被提取和反射以产生参考图像。可以将手术内图像与参考图像刚性地注册，以产生注册的手术中图像，其被覆盖在矫正的术前图像中的目标区域上以产生融合图像。

9. 发明申请

US20130182008A1 Symmetry-Based Visualization for Enhancing Anomaly Detection 有权
标题翻译：用于增强异常检测的基于对称的可视化
公开(公告)号：US20130182008A1
公开(公告)日：2013-07-18
申请号：US13737987
申请日：2013-01-10
申请人： Xiang Sean Zhou , Gerardo Hermosillo Valadez
发明人： Xiang Sean Zhou , Gerardo Hermosillo Valadez
IPC分类号： G06T11/60
CPC分类号： G06T11/60 , G06T3/0068 , G06T7/0014 , G06T11/00 , G06T2200/24 , G06T2207/10072 , G06T2207/10116 , G06T2207/10136 , G06T2207/30004
摘要： Disclosed herein is a framework for facilitating symmetry-based visualization. In accordance with one aspect of the framework, one or more medical images are received. The medical images include first and second regions, wherein the first region is substantially symmetric to the second region. A transformation is performed on at least the second region to generate a transformed second region. The transformed second region is registered with the first region to generate an aligned second region. The aligned second region and the first region are then alternately displayed to assist anomaly detection.
摘要翻译：这里公开的是用于促进基于对称的可视化的框架。根据框架的一个方面，接收一个或多个医学图像。医学图像包括第一和第二区域，其中第一区域与第二区域基本对称。至少在第二区域进行变换以产生变换的第二区域。变换的第二区域与第一区域对齐以产生对准的第二区域。然后交替地显示排列的第二区域和第一区域以辅助异常检测。

10. 发明申请

US20130136322A1 Image-Based Detection Using Hierarchical Learning 有权
标题翻译：基于图像的检测使用分层学习
公开(公告)号：US20130136322A1
公开(公告)日：2013-05-30
申请号：US13553860
申请日：2012-07-20
申请人： Yiqiang Zhan , Maneesh Dewan , Xiang Sean Zhou
发明人： Yiqiang Zhan , Maneesh Dewan , Xiang Sean Zhou
IPC分类号： G06K9/00
CPC分类号： G06T7/73 , G06K2209/055 , G06T2207/20081 , G06T2207/20084 , G06T2207/30012
摘要： Systems and methods are provided for detecting anatomical components in images. In accordance with one implementation, at least one anchor landmark is detected in an image. The position of the anchor landmark is used to detect at least one bundle landmark in the image. In accordance with another implementation, at least two neighboring landmarks are detected in an image, and used to detect at least one anatomical primitive in the image.
摘要翻译：提供了用于检测图像中的解剖组件的系统和方法。根据一个实施方式，在图像中检测至少一个锚地标。锚地标的位置用于检测图像中的至少一个束标记。根据另一实现方式，在图像中检测至少两个相邻的界标，并且用于检测图像中的至少一个解剖图元。

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