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。

公开(公告)号：US20070098221A1

公开(公告)日：2007-05-03

申请号：US11511527

申请日：2006-08-28

申请人： Charles Florin ,  Nikolaos Paragios ,  James Williams

发明人： Charles Florin ,  Nikolaos Paragios ,  James Williams

IPC分类号： G06K9/00 ,  G06K9/34 ,  G06K9/62

CPC分类号： G06K9/32 ,  G06K9/00369 ,  G06T7/251 ,  G06T2207/10016 ,  G06T2207/30196

摘要： A method is provided for segmenting a moving object immersed in a background, comprising: obtaining a time-varying autoregressive model of prior motion of the object to predict future motion of the object; predicting a subsequent contour of the object from the background using the obtaining time-varying autoregressive model comprising using the obtained time-varying autoregressive model to initialize and/or constrain segmentation of the object from the background, and segmenting the object using the predicted subsequent contour and updating the autoregressive model while tracking of the segmented object.

摘要翻译： 提供了一种用于分割浸在背景中的运动物体的方法，包括：获得物体的先前运动的时变自回归模型，以预测物体的未来运动; 使用获得的时变自回归模型从背景预测对象的后续轮廓，包括使用所获得的时变自回归模型来初始化和/或约束来自背景的对象的分割，以及使用预测的后续轮廓来分割对象 并在跟踪分段对象的同时更新自回归模型。

公开(公告)号：US20060251304A1

公开(公告)日：2006-11-09

申请号：US11374794

申请日：2006-03-14

申请人： Charles Florin ,  James Williams ,  Nikolaos Paragios

发明人： Charles Florin ,  James Williams ,  Nikolaos Paragios

IPC分类号： G06K9/00

CPC分类号： G06T7/143 ,  G06T7/12 ,  G06T2207/10072 ,  G06T2207/20101 ,  G06T2207/30101

摘要： A method of segmenting tubular structures in digital images comprises providing a digitized image, selecting a point within an object for segmenting in the image, defining an initial state of the selected point in the object, performing an initial segmentation of a 2D cross section of the object based on the initial state, predicting a new state of said object about a new point that is a translation of said selected point along the object tangent, correcting said new state prediction based on a measurement of said new point in said image, and segmenting a 2D cross section of said object based on said new state.

摘要翻译： 在数字图像中分割管状结构的方法包括提供数字化图像，选择对象内的点以在图像中分割，定义对象中所选点的初始状态，执行对象的2D截面的初始分割 基于初始状态来预测所述对象的新状态，关于作为所述选定点沿对象切线的平移的新点，基于所述图像中的所述新点的测量来校正所述新状态预测，以及分割 基于所述新状态的所述对象的2D横截面。