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公开(公告)号：US20160371833A1
公开(公告)日：2016-12-22
申请号：US14742233
申请日：2015-06-17
申请人： Xerox Corporation
IPC分类号： G06T7/00 , A61B5/11 , A61B5/113 , G06T5/00 , G06K9/48 , G06K9/62 , G06K9/20 , G06T5/20 , A61B5/08 , A61B5/00
CPC分类号： G06T7/0012 , A61B5/0013 , A61B5/0816 , A61B5/0826 , A61B5/1128 , A61B5/1135 , A61B5/4818 , A61B5/746 , G06K9/00362 , G06K9/2054 , G06K9/481 , G06K9/6223 , G06T5/002 , G06T5/20 , G06T5/50 , G06T7/0016 , G06T2207/10016 , G06T2207/30061 , G06T2207/30076
摘要： What is disclosed is a system and method for determining a subject's respiratory pattern from a video of that subject. One embodiment involves receiving a video comprising N≧2 time-sequential image frames of a region of interest (ROI) of a subject where a signal corresponding to the subject's respiratory function can be registered by at least one imaging channel of a video imaging device. The ROI comprises P pixels. Time-series signals of duration N are generated from pixels isolated in the ROI. Features are extracted from the time-series signals and formed into P-number of M-dimensional vectors. The feature vectors are clustered into K clusters. The time-series signals corresponding to pixels represented by the feature vectors in each cluster are averaged along a temporal direction to obtain a representative signal for each cluster. One of the clusters is selected. A respiratory pattern is determined for the subject based on the representative signal.
摘要翻译： 公开的是用于从该受试者的视频确定受检者的呼吸模式的系统和方法。 一个实施例涉及接收包括受检者的感兴趣区域（ROI）的N≥2个时间顺序的图像帧的视频，其中与被摄体的呼吸功能相对应的信号可由视频成像设备的至少一个成像通道注册。 ROI包括P像素。 持续时间N的时间序列信号是从ROI中分离的像素生成的。 从时间序列信号中提取特征，形成M维向量的P数。 特征向量聚类成K个簇。 对应于每个簇中由特征向量表示的像素的时间序列信号沿着时间方向被平均，以获得每个簇的代表信号。 选择其中一个群集。 基于代表性信号确定对象的呼吸模式。
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公开(公告)号：US20170169307A1
公开(公告)日：2017-06-15
申请号：US14969147
申请日：2015-12-15
申请人： Xerox Corporation
CPC分类号： G06K9/4647 , A61B5/0013 , A61B5/0077 , A61B5/08 , A61B5/1128 , A61B5/1135 , A61B2576/00 , G06K9/0053 , G06K9/00751 , G06K9/40 , G06K9/4661 , G06K2209/05 , G06T7/0012 , G06T7/20
摘要： A video is received of a region of a subject where a signal corresponding to respiratory function can be registered by a video device. Pixels in the region in each of the image frames are processed to identify a respiratory pattern with peak/valley pairs. A peak/valley pair of interest is selected. An array of optical flow vectors is determined between a window of groups of pixel locations in a reference image frame corresponding to a peak of the pair/valley pair and a window in each of a number of image frames corresponding to the respiratory signal between the peak and ending at a valley point. Optical flow vectors have a direction and a magnitude. A ratio is determined between upwardly pointing optical flow vectors and downwardly pointing optical flow vectors. Based on the ratio, a determination is made whether the respiration phase for that peak/valley pair is inspiration or expiration.
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公开(公告)号：US20180122066A1
公开(公告)日：2018-05-03
申请号：US15336475
申请日：2016-10-27
申请人： Xerox Corporation
发明人： Prathosh A. PRASAD , Sanjay BHARADWAJ , Pragathi PRAVEENA , Tejaskumar Dipaklal BENGALI , Satish Prasad RATH , Himanshu Jayantkumar MADHU
CPC分类号： G06T7/0012 , A61B5/0022 , A61B5/0077 , A61B5/024 , A61B5/08 , A61B5/1102 , A61B5/1128 , A61B5/113 , A61B5/742 , G06T5/002 , G06T7/246 , G06T2207/10016 , G06T2207/20024 , G06T2207/30048
摘要： What is disclosed is a system and method for processing a video to extract a periodic signal which was captured by the video imaging device. One embodiment involves the following. First, a video of a subject in a scene is received. The video is acquired by a video imaging device. There is an underlying motion signal in the scene corresponding to cardiac or respiratory function. A time-series signal is generated for each pixel or for each group of pixels in a temporal direction across a plurality of image frames. Time-series signals of interest are selected. The selected time-series signals of interest are then processed to obtain a periodic signal corresponding to cardiac or respiratory function. The present method has a low computational complexity, is robust in the presence of noise, and finds its uses in applications requiring real-time motion quantification of a signal in a video.
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公开(公告)号：US20170055920A1
公开(公告)日：2017-03-02
申请号：US14837898
申请日：2015-08-27
申请人： Xerox Corporation
发明人： Lalit Keshav MESTHA , Sanjay BHARADWAJ , Prathosh A. PRASAD , Tejaskumar D. BENGALI , Himanshu J. MADHU , Suresh KUPPUSWAMY
CPC分类号： A61B5/7285 , A61B5/0013 , A61B5/0075 , A61B5/0077 , A61B5/1128 , A61B5/113 , A61B5/1135 , A61B5/4836 , A61B5/725 , A61B5/7264 , A61B5/7292 , A61B6/00 , A61B6/025 , A61B6/032 , A61B6/037 , A61B6/541 , A61B2576/02 , G06T7/246 , G06T2207/20076 , G06T2207/30004
摘要： What is disclosed is a system and method for generating a respiration gating signal from a video of a subject for gating diagnostic imaging and therapeutic delivery applications which require respiration phase and/or respiration amplitude gating. One embodiment involves receiving a video of a subject and generating a plurality of time-series signals from the video image frames. A set of features are extracted from the time-series signals and multi-dimensional feature vectors are formed. The feature vectors are clustered. Time-series signals corresponding in each of the clusters are averaged in a temporal direction to obtain a representative signal for each cluster. One cluster is selected and a respiration gating signal is generated from that cluster's representative signal. Thereafter, the respiration gating signal is used to gate diagnostic imaging and therapeutic delivery applications which requires gating based on a threshold set with respect to either respiration phase or respiration amplitude.
摘要翻译： 公开的是用于从需要呼吸相位和/或呼吸振幅选通的门诊诊断成像和治疗递送应用的对象视频产生呼吸门控信号的系统和方法。 一个实施例涉及接收对象的视频并从视频图像帧产生多个时间序列信号。 从时间序列信号中提取一组特征，形成多维特征向量。 特征向量是聚类的。 在每个簇中对应的时间序列信号在时间方向上被平均以获得每个簇的代表信号。 选择一个群集，并从该群集的代表信号中生成呼吸门控信号。 此后，呼吸门控信号用于门诊诊断成像和治疗递送应用，其需要基于相对于呼吸相位或呼吸振幅设定的阈值进行门控。
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