Xiaoxiao Liu resumes & CV records
Resumes
Medical Image Researcher
Location:
Albany, New York Area
Industry:
Research
Xiaoxiao Liu
Location:
United States
Xiaoxiao LiuBellevue, WA
Xiaoxiao Liu Phones & Addresses
Bellevue, WA
Clifton Park, NY
Chapel Hill, NC
Carrboro, NC
116 Shadowood Dr APT A, Chapel Hill, NC 27514
Mentions for Xiaoxiao Liu
Publications & IP owners
Us Patents
Method And Device For Automatically Predicting Ffr Based On Images Of Vessel
US Patent:
2021008, Mar 18, 2021
Filed:
Nov 30, 2020
Appl. No.:
17/107881
Inventors:
- Shenzhen, CN
Ying Xuan Zhi - Seattle WA, US
Xiaoxiao Liu - Bellevue WA, US
Xin Wang - Seattle WA, US
Youbing Yin - Kenmore WA, US
Qi Song - Seattle WA, US
Ying Xuan Zhi - Seattle WA, US
Xiaoxiao Liu - Bellevue WA, US
Xin Wang - Seattle WA, US
Youbing Yin - Kenmore WA, US
Qi Song - Seattle WA, US
Assignee:
SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION - Shenzhen
International Classification:
G16H 50/50
A61B 5/0275
A61B 5/026
A61B 6/00
A61B 5/0275
A61B 5/026
A61B 6/00
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.
Methods And Devices For Performing Three-Dimensional Blood Vessel Reconstruction Using Angiographic Images
US Patent:
2020029, Sep 24, 2020
Filed:
Jun 8, 2020
Appl. No.:
16/895573
Inventors:
- Shenzhen, CN
Youbing Yin - Kenmore WA, US
Shubao Liu - College Park MD, US
Xiaoxiao Liu - Bellevue WA, US
Youbing Yin - Kenmore WA, US
Shubao Liu - College Park MD, US
Xiaoxiao Liu - Bellevue WA, US
Assignee:
SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION - Shenzhen
International Classification:
A61B 6/00
G06T 7/00
G06T 7/00
Abstract:
The disclosure provides a method and device for performing three-dimensional blood vessel reconstruction using projection images of a patient. The computer-implemented method includes receiving a first two-dimensional image of a blood vessel in a first projection direction and a three-dimensional model of the blood vessel. The method further includes determining, by a processor, a first optical path length at a selected position of the blood vessel based on the first two-dimensional image. The method also includes determining, by the processor, a second optical path length at the selected position of the blood vessel in the three-dimensional model. The method additional includes adjusting the three-dimensional model of the blood vessel, based on a comparison of the first optical path length and the second optical path length.
Method, Storage Medium, And System For Analyzing Image Sequences Of Periodic Physiological Activities
US Patent:
2020008, Mar 19, 2020
Filed:
Nov 19, 2019
Appl. No.:
16/689048
Inventors:
- Shenzhen, CN
Ying Xuan ZHI - Seattle WA, US
Xiaoxiao LIU - Bellevue WA, US
Shubao LIU - College Park MD, US
Youbing YIN - Kenmore WA, US
Yuwei LI - Bellevue WA, US
Kunlin CAO - Kenmore WA, US
Ying Xuan ZHI - Seattle WA, US
Xiaoxiao LIU - Bellevue WA, US
Shubao LIU - College Park MD, US
Youbing YIN - Kenmore WA, US
Yuwei LI - Bellevue WA, US
Kunlin CAO - Kenmore WA, US
International Classification:
A61B 6/00
G06T 7/20
G06T 7/269
G06T 7/00
G06T 7/277
G06T 7/20
G06T 7/269
G06T 7/00
G06T 7/277
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.
Method And Device For Automatically Predicting Ffr Based On Images Of Vessel
US Patent:
2019036, Nov 28, 2019
Filed:
Jul 28, 2018
Appl. No.:
16/048272
Inventors:
- Shenzhen, CN
Ying Xuan Zhi - Seattle WA, US
Xiaoxiao Liu - Bellevue WA, US
Xin Wang - Seattle WA, US
Youbing Yin - Kenmore WA, US
Qi Song - Seattle WA, US
Ying Xuan Zhi - Seattle WA, US
Xiaoxiao Liu - Bellevue WA, US
Xin Wang - Seattle WA, US
Youbing Yin - Kenmore WA, US
Qi Song - Seattle WA, US
Assignee:
SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION - Shenzhen
International Classification:
G16H 50/50
A61B 5/0275
A61B 5/026
A61B 6/00
A61B 5/0275
A61B 5/026
A61B 6/00
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.
System And Method For Calculating Vessel Flow Parameters Based On Angiography
US Patent:
2019030, Oct 3, 2019
Filed:
Jan 12, 2018
Appl. No.:
15/870811
Inventors:
- Shenzhen, CN
Xiaoxiao LIU - Bellevue WA, US
Yujie ZHOU - Beijing, CN
Youbing YIN - Kenmore WA, US
Yuwei LI - Bellevue WA, US
Shubao LIU - College Park MD, US
Xiaoyang XU - ShenZhen, CN
Qi SONG - Seattle WA, US
Xiaoxiao LIU - Bellevue WA, US
Yujie ZHOU - Beijing, CN
Youbing YIN - Kenmore WA, US
Yuwei LI - Bellevue WA, US
Shubao LIU - College Park MD, US
Xiaoyang XU - ShenZhen, CN
Qi SONG - Seattle WA, US
International Classification:
G16H 30/40
G06T 7/246
A61B 6/00
G06T 17/00
G16H 50/50
G06T 7/246
A61B 6/00
G06T 17/00
G16H 50/50
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.
Methods And Systems For Determining Lumen Volume And Coronary Blood Flow
US Patent:
2019015, May 30, 2019
Filed:
Nov 1, 2018
Appl. No.:
16/178574
Inventors:
- Beijing, CN
Shubao Liu - College Park MD, US
Xiaoxiao Liu - Bellevue WA, US
Bin Ouyang - Shenzhen, CN
Qi Song - Seattle WA, US
Shubao Liu - College Park MD, US
Xiaoxiao Liu - Bellevue WA, US
Bin Ouyang - Shenzhen, CN
Qi Song - Seattle WA, US
Assignee:
BEIJING CURACLOUD TECHNOLOGY CO., LTD. - Beijing
International Classification:
A61B 5/026
G16H 30/40
A61B 5/107
A61B 6/00
G16H 30/40
A61B 5/107
A61B 6/00
Abstract:
The disclosure provides a method and system for determining a lumen volume of a target blood vessel. The method may include acquiring a temporal sequence of angiography images of the target blood vessel after a contract agent is injected in the target blood vessel. The method may further include identifying a region of interest containing the target blood vessel, by a processor, in each angiography image in the temporal sequence of angiography images. The method may also include integrating, by the processor, pixel values in each region of interest, and determining the lumen volume, by the processor, based on the integrated values of the regions of interest and a predetermined correlation between the integrated values and volumes of the contrast agent.
Methods And Devices For Performing Three-Dimensional Blood Vessel Reconstruction Using Angiographic Images
US Patent:
2019015, May 30, 2019
Filed:
Aug 21, 2018
Appl. No.:
16/106077
Inventors:
- Shenzhen, CN
Shubao Liu - College Park MD, US
Xiaoxiao Liu - Bellevue WA, US
Qi Song - Seattle WA, US
Shubao Liu - College Park MD, US
Xiaoxiao Liu - Bellevue WA, US
Qi Song - Seattle WA, US
Assignee:
SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION - Shenzhen
International Classification:
A61B 6/00
G06T 7/00
G06T 7/00
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.
Possible Relatives
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