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21. 发明申请

US20080031404A1 FOUR-DIMENSIONAL (4D) IMAGE VERIFICATION IN RESPIRATORY GATED RADIATION THERAPY 有权
标题翻译：呼吸道放射治疗中的四维（4D）图像验证
公开(公告)号：US20080031404A1
公开(公告)日：2008-02-07
申请号：US11831090
申请日：2007-07-31
申请人： Ali Khamene , Charles Florin , Juan Celi , Barbara Ofstad , Mikael Rousson , Frank Sauer , Christian Schaller
发明人： Ali Khamene , Charles Florin , Juan Celi , Barbara Ofstad , Mikael Rousson , Frank Sauer , Christian Schaller
IPC分类号： A61B6/00
CPC分类号： A61N5/1049 , A61B5/113 , A61B5/1135 , A61B6/032 , A61B6/541 , A61N5/1037 , A61N5/1064 , A61N5/1068 , A61N2005/1059 , A61N2005/1061 , A61N2005/1062
摘要： A method for four-dimensional (4D) image verification in respiratory gated radiation therapy, includes: acquiring 4D computed tomography (CT) images, each of the 4D CT images representing a breathing phase of a patient and tagged with a corresponding time point of a first surrogate signal; acquiring fluoroscopic images of the patient under free breathing, each of the fluoroscopic images tagged with a corresponding time point of a second surrogate signal; generating digitally reconstructed radiographs (DRRs) for each breathing phase represented by the 4D CT images; generating a similarity matrix to assess a degree of resemblance in a region of interest between the DRRs and the fluoroscopic images; computing a compounded similarity matrix by averaging values of the similarity matrix across different time points of the breathing phase during a breathing period of the patient; determining an optimal time point synchronization between the DRRs and the fluoroscopic images by using the compounded similarity matrix; and acquiring a third surrogate signal and turning a treatment beam on or off according to the optimal time point synchronization.
摘要翻译：呼吸门控放射治疗中四维（4D）图像验证的方法包括：获取4D计算机断层摄影（CT）图像，每个4D CT图像代表患者的呼吸阶段，并用相应的时间点标记第一替代信号; 在自由呼吸下获取患者的透视图像，每个透视图像标记有第二替代信号的相应时间点; 为由4D CT图像表示的每个呼吸阶段生成数字重建X射线照片（DRR）; 生成相似性矩阵以评估DRR和荧光透视图像之间的感兴趣区域中的相似程度; 通过在患者的呼吸期间在呼吸阶段的不同时间点平均相似性矩阵的值来计算复合相似性矩阵; 通过使用复合相似度矩阵确定DRR和荧光透视图像之间的最佳时间点同步; 并根据最佳时间点同步获取第三替代信号并打开或关闭治疗束。

22. 发明授权

US07200269B2 Non-rigid image registration using distance functions 有权
标题翻译：使用距离函数的非刚性图像配准
公开(公告)号：US07200269B2
公开(公告)日：2007-04-03
申请号：US10356055
申请日：2003-01-31
申请人： Nikolaos Paragios , Mikael Rousson , Visvanathan Ramesh
发明人： Nikolaos Paragios , Mikael Rousson , Visvanathan Ramesh
IPC分类号： G06K9/62 , G06F7/60
CPC分类号： G06K9/00362 , G06T7/12 , G06T7/149 , G06T2207/10012
摘要： A system and method for non-rigid image registration using distance functions includes portions for receiving a source shape into an image space, integrating a global linear registration model with local deformations to assess the source shape, optimizing a functional defined on a parameter or feature space where the functional quantifies the similarity between the source shape and a target shape in terms of distance functions, creating an augmented registration space including a plurality of target shape clones coherently positioned in the image space, tracking moving interfaces between the source shape and the target shapes and clones through a level set method, and registering the source shape by seeking mutual correspondences between the source shape, the target shape and the target shape clones.
摘要翻译：用于使用距离函数的非刚性图像配准的系统和方法包括用于将源形状接收到图像空间中的部分，将全局线性对准模型与局部变形集成以评估源形状，优化在参数或特征空间上定义的功能其中功能量化距离函数在源形状和目标形状之间的相似性，创建包括相干地定位在图像空间中的多个目标形状克隆的增强对准空间，跟踪源形状和目标形状之间的移动界面并通过水平集方法进行克隆，并通过寻找源形状，目标形状和目标形状克隆之间的相互对应来记录源形状。

23. 发明授权

US07177471B2 Shape priors for level set representations 有权
标题翻译：形成级别表示的先验
公开(公告)号：US07177471B2
公开(公告)日：2007-02-13
申请号：US10356093
申请日：2003-01-31
申请人： Nikolaos Paraglos , Mikael Rousson
发明人： Nikolaos Paraglos , Mikael Rousson
IPC分类号： G06K9/46
CPC分类号： G06K9/00362 , G06K9/48 , G06K9/6206 , G06T7/12 , G06T7/149
摘要： This invention relates to shape priors for level set representations. An embodiment of the invention comprises a first stage and a second stage. In the first stage, a shape model can be built directly on level set space using a collection of samples. The shape model can be constructed using a variational framework to create a non-stationary pixel-wise model that accounts for shape variabilities. Then, in the second stage, the shape model can be used as basis to introduce the shape prior in an energetic form. In terms of level set representations, the shape prior aims at minimizing non-stationary distance between the evolving interface and the shape model. An embodiment according to the present invention can be integrated with an existing, data-driven variational method to perform image segmentation for physically corrupted and incomplete data.
摘要翻译：本发明涉及水平集表示的形状先验。本发明的实施例包括第一阶段和第二阶段。在第一阶段，可以使用样本集合直接在级别集空间上构建形状模型。可以使用变分框架来构建形状模型，以创建考虑到形状变异性的非平稳像素模型。然后，在第二阶段中，形状模型可以用作以能量形式引入形状的基础。在水平集表示方面，先前的形状旨在最小化不断变化的界面和形状模型之间的非固定距离。根据本发明的实施例可以与现有的数据驱动变分方法集成，以对物理损坏和不完整的数据执行图像分割。

24. 发明申请

US20060285745A1 Shape priors for level set representations 有权
标题翻译：形成级别表示的先验
公开(公告)号：US20060285745A1
公开(公告)日：2006-12-21
申请号：US11508794
申请日：2006-08-23
申请人： Nikolaos Paragios , Mikael Rousson
发明人： Nikolaos Paragios , Mikael Rousson
IPC分类号： G06K9/34
CPC分类号： G06K9/00362 , G06K9/48 , G06K9/6206 , G06T7/12 , G06T7/149
摘要： This invention relates to shape priors for level set representations. An embodiment of the invention comprises a first stage and a second stage. In the first stage, a shape model can be built directly on level set space using a collection of samples. The shape model can be constructed using a variational framework to create a non-stationary pixel-wise model that accounts for shape variabilities. Then, in the second stage, the shape model can be used as basis to introduce the shape prior in an energetic form. In terms of level set representations, the shape prior aims at minimizing non-stationary distance between the evolving interface and the shape model. An embodiment according to the present invention can be integrated with an existing, data-driven variational method to perform image segmentation for physically corrupted and incomplete data.
摘要翻译：本发明涉及水平集表示的形状先验。本发明的实施例包括第一阶段和第二阶段。在第一阶段，可以使用样本集合直接在级别集空间上构建形状模型。可以使用变分框架来构建形状模型，以创建考虑到形状变异性的非平稳像素模型。然后，在第二阶段中，形状模型可以用作以能量形式引入形状的基础。在水平集表示方面，先前的形状旨在最小化不断变化的界面和形状模型之间的非固定距离。根据本发明的实施例可以与现有的数据驱动变分方法集成，以对物理损坏和不完整的数据执行图像分割。

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