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公开(公告)号：US20220215534A1
公开(公告)日：2022-07-07
申请号：US17557449
申请日：2021-12-21
Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION
Inventor： Junjie Bai , Hao-Yu Yang , Youbing Yin , Qi Song
Abstract: Embodiments of the disclosure provide systems and methods for analyzing a medical image containing a vessel structure using a sequential model. An exemplary system includes a communication interface configured to receive the medical image and the sequential model. The sequential model includes a vessel extraction sub-model and a lesion analysis sub-model. The vessel extraction sub-model and the lesion analysis sub-model are independently or jointly trained. The exemplary system also includes at least one processor configured to apply the vessel extraction sub-model on the received medical image to extract location information of the vessel structure. The at least one processor also applies the lesion analysis sub-model on the received medical image and the location information extracted by the vessel extraction sub-model to obtain a lesion analysis result of the vessel structure. The at least one processor further outputs the lesion analysis result of the vessel structure.
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62.发明授权公开(公告)号：US11361440B2
公开(公告)日：2022-06-14
申请号：US17317989
申请日：2021-05-12
Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION
Inventor： Xin Wang , Youbing Yin , Bin Kong , Yi Lu , Junjie Bai , Zhenghan Fang , Qi Song
IPC: G06T7/00 , A61B6/00 , A61B5/00 , A61B6/03 , G16H50/20 , G16H10/60 , G06N3/04 , G06N3/08 , G16H30/40 , A61B6/02
Abstract: Embodiments of the disclosure provide methods and systems for disease condition prediction from images of a patient. The system may include a communication interface configured to receive a sequence of images acquired of the patient by an image acquisition device. The sequence of images are acquired at a sequence of prior time points during progression of a disease. The system may include a processor, configured to determine regions of interest based on the sequence of images. The processor applies a progressive condition prediction network to the regions of interest to predict a level of disease progression at a future time point during the progression of the disease. The progressive condition prediction network predicts the level of disease progression based on the regions of interest and disease conditions at the sequence of prior time points. The processor further provides a diagnostic output based on the predicted level of disease progression.
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63.发明申请公开(公告)号：US20220036646A1
公开(公告)日：2022-02-03
申请号：US17497980
申请日：2021-10-11
Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION
Inventor： Qi Song , Youbing Yin , Shubao Liu , Xiaoxiao Liu , Junjie Bai , Feng Gao , Yue Pan
Abstract: The disclosure provides a method, device and a computer-readable medium for performing three-dimensional blood vessel reconstruction. The computer-implemented method includes receiving a first two-dimensional image of a blood vessel of a patient, where the first two-dimensional image is a projection image acquired in a first projection direction. The method further includes reconstructing, by a processor, a three-dimensional model of the blood vessel based on at least the first two-dimensional image. The method additional includes adjusting the three-dimensional model of the blood vessel, based on a comparison of a first optical path length determined from a second two-dimensional image of the blood vessel of the patient and a second optical path length determined from the three-dimensional model.
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64.发明授权公开(公告)号：US11141122B2
公开(公告)日：2021-10-12
申请号：US16895573
申请日：2020-06-08
Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION
Inventor： Qi Song , Youbing Yin , Shubao Liu , Xiaoxiao Liu
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.
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65.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
Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION
Inventor： Youbing Yin , Shubao Liu , Qi Song , Ying Xuan Zhi
Abstract: 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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Patent Agency Ranking
66.发明授权公开(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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67.发明申请公开(公告)号：US20200065374A1
公开(公告)日：2020-02-27
申请号：US16544837
申请日：2019-08-19
Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION
Inventor： Feng Gao , Changsheng Liu , Yue Pan , Youbing Yin , Kunlin Cao , Qi Song
Abstract: Embodiments of the disclosure provide systems and methods for processing unstructured texts in a medical record. A disclosed system includes at least one processor configured to determine a plurality of word representations of an unstructured text and tag entities in the unstructured text by performing a named entity recognition task on the plurality of word representations. The at least one processor is further configured to determine position embeddings based on positions of words in the unstructured text relative to positions of the tagged entities and concatenate the plurality of word representations with the position embeddings. The at least one processor is also configured to determine relation labels between pairs of tagged entities by performing a relationship extraction task on the concatenated word representations and position embeddings.
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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
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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69.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：US20190114770A1
公开(公告)日：2019-04-18
申请号：US16049809
申请日：2018-07-31
Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION
Inventor： Qi Song , Bin Kong , Shanhui Sun
Abstract: Embodiments of the disclosure provide systems and methods for detecting cancer metastasis in a whole-slide image. The system may include a communication interface configured to receive the whole-slide image and a learning model. The whole-slide image is acquired by an image acquisition device. The system may also include a memory configured to store a plurality of tiles derived from the whole-slide image in a queue. The system may further include at least one processor, configured to apply the learning model to at least two tiles stored in the queue in parallel to obtain detection maps each corresponding to a tile, and detect the cancer metastasis based on the detection maps.
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