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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
Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION
Inventor： Bin Ma , Ying Xuan Zhi , Xiaoxiao Liu , Xin Wang , Youbing Yin , Qi Song
IPC: G16H50/50 , A61B5/0275 , A61B5/026 , A61B6/00
Abstract: 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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Patent Agency Ranking
公开(公告)号：US10937549B2
公开(公告)日：2021-03-02
申请号：US16048272
申请日：2018-07-28
Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION
Inventor： Bin Ma , Ying Xuan Zhi , Xiaoxiao Liu , Xin Wang , Youbing Yin , Qi Song
Abstract: 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：US10580526B2
公开(公告)日：2020-03-03
申请号：US15870811
申请日：2018-01-12
Applicant: Shenzhen Keya Medical Technology Corporation
Inventor： Bin Ma , Xiaoxiao Liu , Yujie Zhou , Youbing Yin , Yuwei Li , Shubao Liu , Xiaoyang Xu , Qi Song
Abstract: The present disclosure relates to a device, a system, and a computer-readable medium for calculating vessel flow parameters based on angiography. In one implementation, the device includes a processor and a memory storing computer-executable instructions that, when executed by the processor, cause the processor to perform the following operations: selecting a plurality of template frames from the angiographic images to generate a 3D model for a vessel; determining a start frame and an end frame in the plurality of angiographic images showing a contrast filling process; determining corresponding locations of front ends of the contrast in the start frame and the end frame in the 3D model of the vessel; calculating a vessel volume between the determined locations of the front ends in the 3D model; and determining an average blood flow rate based on the calculated volume, and a time interval between the start frame and the end frame.
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公开(公告)号：US10709399B2
公开(公告)日：2020-07-14
申请号：US16106077
申请日：2018-08-21
Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION
Inventor： Bin Ma , Shubao Liu , Xiaoxiao Liu , Qi Song
Abstract: The disclosure provides a method and device for performing three-dimensional blood vessel reconstruction using angiographic images. The method includes an acquisition step that acquires a first two-dimensional image of the blood vessel in the first projection direction and a corresponding reconstructed three-dimensional model of the blood vessel. The method further includes a simulated light path length determining step that determines simulated optical path length within the blood vessel at a position thereof in the first projection direction based on the three-dimensional model of the blood vessel, and a three-dimensional reconstruction adjustment step that adjusts reconstruction parameters of the three-dimensional model of the blood vessel, based on the simulated optical path length within the blood vessel at the position in the first projection direction, intensity value at the corresponding position of the blood vessel in the first two-dimensional image and a relationship between intensity values at each position of a blood vessel in a two-dimensional image and optical path length at the corresponding position. This method considers the intensity values of two-dimensional images and can calibrate the three-dimensional model of blood vessels to improve the accuracy of three-dimensional models of blood vessels.
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5.发明申请公开(公告)号：US20190159743A1
公开(公告)日：2019-05-30
申请号：US16106077
申请日：2018-08-21
Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION
Inventor： Bin Ma , Shubao Liu , Xiaoxiao Liu , Qi Song
Abstract: The disclosure provides a method and device for performing three-dimensional blood vessel reconstruction using angiographic images. The method includes an acquisition step that acquires a first two-dimensional image of the blood vessel in the first projection direction and a corresponding reconstructed three-dimensional model of the blood vessel. The method further includes a simulated light path length determining step that determines simulated optical path length within the blood vessel at a position thereof in the first projection direction based on the three-dimensional model of the blood vessel, and a three-dimensional reconstruction adjustment step that adjusts reconstruction parameters of the three-dimensional model of the blood vessel, based on the simulated optical path length within the blood vessel at the position in the first projection direction, intensity value at the corresponding position of the blood vessel in the first two-dimensional image and a relationship between intensity values at each position of a blood vessel in a two-dimensional image and optical path length at the corresponding position. This method considers the intensity values of two-dimensional images and can calibrate the three-dimensional model of blood vessels to improve the accuracy of three-dimensional models of blood vessels.
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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
Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION
Inventor： Bin Ma , Ying Xuan Zhi , Xiaoxiao Liu , Xin Wang , Youbing Yin , Qi Song
Abstract: 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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