公开(公告)号：US20220301154A1

公开(公告)日：2022-09-22

申请号：US17408321

申请日：2021-08-20

Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION

Inventor： Ruoping LI ,  Pengfei ZHAO ,  Junhuan LI ,  Bin OUYANG ,  Yuwei LI ,  Kunlin CAO ,  Qi SONG

IPC: G06T7/00 ,  G06K9/46 ,  G06K9/62 ,  G06F40/20 ,  G16H30/20 ,  G16H10/60 ,  G06N3/08

Abstract: The present disclosure relates to a medical image analysis method, a medical image analysis device, and a computer-readable storage medium. The medical image analysis method includes receiving a medical image acquired by a medical imaging device; determining a navigation trajectory by performing navigation processing on the medical image based on an analysis requirement, the analysis requirement indicating a disease to be analyzed; extracting an image block set along the navigation trajectory; extracting image features using a first learning network based on the image block set; and determining an analysis result using a second learning network based on the image features and the navigation trajectory.

公开(公告)号：US20190304592A1

公开(公告)日：2019-10-03

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

IPC: G16H30/40 ,  G06T7/246 ,  A61B6/00 ,  G06T17/00 ,  G16H50/50

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.

公开(公告)号：US20200085395A1

公开(公告)日：2020-03-19

申请号：US16689048

申请日：2019-11-19

Applicant: Shenzhen Keya Medical Technology Corporation

Inventor： Qi SONG ,  Ying Xuan ZHI ,  Xiaoxiao LIU ,  Shubao LIU ,  Youbing YIN ,  Yuwei LI ,  Kunlin CAO

IPC: A61B6/00 ,  G06T7/20 ,  G06T7/269 ,  G06T7/00 ,  G06T7/277

Abstract: 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.

公开(公告)号：US20190209113A1

公开(公告)日：2019-07-11

申请号：US15864398

申请日：2018-01-08

Applicant: Shenzhen Keya Medical Technology Corporation

Inventor： Xiaoxiao LIU ,  Shubao LIU ,  Bin MA ,  Kunlin CAO ,  Youbing YIN ,  Yuwei LI ,  Qian ZHAO ,  Qi SONG

IPC: A61B6/00 ,  G06T7/20

CPC classification number: A61B6/504 ,  G06F16/50 ,  G06T7/20 ,  G06T2207/30004

Abstract: 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 determining local motions for pixels in each frame of the image sequence. The local motion for a pixel may be determined using corresponding pixels in frames adjacent to the frame to which the pixel belongs. The method further includes determining principal motions for the plurality of frames based on the local motions; determining a motion magnitude profile based on the principal motions; and determining the phase of each frame in the image sequence based on the motion magnitude profile.