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公开(公告)号：US20210082580A1
公开(公告)日：2021-03-18
申请号：US17107881
申请日：2020-11-30
发明人： Bin Ma , Ying Xuan Zhi , Xiaoxiao Liu , Xin Wang , Youbing Yin , Qi Song
IPC分类号： G16H50/50 , A61B5/0275 , A61B5/026 , A61B6/00
摘要： The present disclosure is directed to a method and system for automatically predicting a physiological parameter based on images of vessel. The method includes receiving the images of a vessel acquired by an imaging device. The method further includes determining a sequence of temporal features at a sequence of positions on a centerline of the vessel based on the images of the vessel, and determining a sequence of structure-related features at the sequence of positions on the centerline of the vessel. The method also includes fusing the sequence of structure-related features and the sequence of temporal features at the sequence of positions respectively. The method additionally includes determining the physiological parameter for the vessel at the sequence of positions, by using a sequence-to-sequence neural network configured to capture sequential dependencies among the sequence of fused features.
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公开(公告)号：US10937549B2
公开(公告)日：2021-03-02
申请号：US16048272
申请日：2018-07-28
发明人： Bin Ma , Ying Xuan Zhi , Xiaoxiao Liu , Xin Wang , Youbing Yin , Qi Song
摘要： The present disclosure is directed to a method and device for automatically predicting FFR based on images of vessel. The method for automatically predicting FFR based on images of a vessel. The method comprises a step of receiving the images of a vessel acquired by an imaging device. Then, a sequence of flow speeds at a sequence of positions on a centerline of the vessel is acquired by a processor. A sequence of first features at the sequence of positions on a centerline of the vessel are acquired by the processor, by fusing structure-related features and flow speeds and using a convolutional neural network. Then, a sequence of FFR at the sequence of positions is determined by the processor through using a sequence-to-sequence neural network on the basis of the sequence of first features.
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公开(公告)号：US11495357B2
公开(公告)日：2022-11-08
申请号：US17107881
申请日：2020-11-30
发明人： Bin Ma , Ying Xuan Zhi , Xiaoxiao Liu , Xin Wang , Youbing Yin , Qi Song
摘要： The present disclosure is directed to a method and system for automatically predicting a physiological parameter based on images of vessel. The method includes receiving the images of a vessel acquired by an imaging device. The method further includes determining a sequence of temporal features at a sequence of positions on a centerline of the vessel based on the images of the vessel, and determining a sequence of structure-related features at the sequence of positions on the centerline of the vessel. The method also includes fusing the sequence of structure-related features and the sequence of temporal features at the sequence of positions respectively. The method additionally includes determining the physiological parameter for the vessel at the sequence of positions, by using a sequence-to-sequence neural network configured to capture sequential dependencies among the sequence of fused features.
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公开(公告)号：US10980502B2
公开(公告)日：2021-04-20
申请号：US16689048
申请日：2019-11-19
发明人： Qi Song , Ying Xuan Zhi , Xiaoxiao Liu , Shubao Liu , Youbing Yin , Yuwei Li , Kunlin Cao
摘要： The present disclosure relates to a method, storage medium, and system for analyzing an image sequence of a periodic physiological activity. In one implementation, the method includes receiving the image sequence acquired by an imaging device, the image sequence having a plurality of frames, and identifying a feature point in a first frame. The method further includes determining motion vectors for the feature point in the frames of the image sequence. Each motion vector for the feature point is determined based on respective locations of corresponding feature points in frames adjacent to the first frame. The method also includes determining a motion magnitude profile based on the determined motion vectors and determining a phase of each frame in the image sequence based on the motion magnitude profile.
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5.发明授权公开(公告)号：US11786202B2
公开(公告)日：2023-10-17
申请号：US17219957
申请日：2021-04-01
发明人： Youbing Yin , Shubao Liu , Qi Song , Ying Xuan Zhi
CPC分类号： A61B6/504 , A61B6/5217 , G06T7/0012 , G06T7/0016 , G06T7/20 , G06T7/269 , G06T7/277 , A61B6/5264 , G06F16/50 , G06T2207/10081 , G06T2207/30004 , G06T2207/30048 , G06T2207/30101
摘要： The disclosure relates to a computer-implemented method for analyzing an image sequence of a periodic physiological activity, a system, and a medium. The method includes receiving the image sequence from an imaging device, and the image sequence has a plurality of images. The method further includes identifying at least one feature portion in a selected image, which moves responsive to the periodic physiological activity. The method also includes detecting, by a processor, the corresponding feature portions in other images of the image sequence and determining, by the processor, a phase of a the selected image in the image sequence based on the motion of the feature portion.
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6.发明申请公开(公告)号：US20210219934A1
公开(公告)日：2021-07-22
申请号：US17219957
申请日：2021-04-01
发明人： Youbing Yin , Shubao Liu , Qi Song , Ying Xuan Zhi
摘要： The disclosure relates to a computer-implemented method for analyzing an image sequence of a periodic physiological activity, a system, and a medium. The method includes receiving the image sequence from an imaging device, and the image sequence has a plurality of images. The method further includes identifying at least one feature portion in a selected image, which moves responsive to the periodic physiological activity. The method also includes detecting, by a processor, the corresponding feature portions in other images of the image sequence and determining, by the processor, a phase of a the selected image in the image sequence based on the motion of the feature portion.
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