-
公开(公告)号：US12094596B2
公开(公告)日：2024-09-17
申请号：US17726039
申请日：2022-04-21
Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION
Inventor： Xin Wang , Youbing Yin , Bin Kong , Yi Lu , Xinyu Guo , Hao-Yu Yang , Junjie Bai , Qi Song
Abstract: The present disclosure relates to a method and a system for generating anatomical labels of an anatomical structure. The method includes receiving an anatomical structure with an extracted centerline, or a medical image containing the anatomical structure with the extracted centerline; and predicting the anatomical labels of the anatomical structure based on the centerline of the anatomical structure, by utilizing a trained deep learning network. The deep learning network includes a branched network, a Graph Neural Network, a Recurrent Neural Network and a Probability Graph Model, which are connected sequentially in series. The branched network includes at least two branch networks in parallel. The method in the disclosure can automatically generate the anatomical labels of the whole anatomical structure in medical image end to end and provide high prediction accuracy and reliability.
-
公开(公告)号：US12086981B2
公开(公告)日：2024-09-10
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
CPC classification number: G06T7/0012 , G06T7/11 , G06T2207/20092 , G06T2207/30096 , G06T2207/30101 , G06T2207/30172
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.
-
43.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
Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION
Inventor： Youbing Yin , Shubao Liu , Qi Song , Ying Xuan Zhi
CPC classification number: 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
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.
-
公开(公告)号：US20230099284A1
公开(公告)日：2023-03-30
申请号：US17501041
申请日：2021-10-14
Applicant: Shenzhen Keya Medical Technology Corporation
Inventor： Feng Gao , Hao-Yu Yang , Yue Pan , Youbing Yin , Qi Song
IPC: G16H30/20 , G16H50/30 , G16H50/50 , G16H30/40 , G16H10/60 , G16H50/20 , G06N20/00 , G06T7/00 , A61B5/00 , A61B5/021
Abstract: The disclosure relates to a method, a system, and a computer-readable medium for prognosis management based on medical information of a patient. The method may include receiving the medical information including at least a medical image of the patient reflecting a morphology of an object associated with the patient at a first time, The method may further include predicting a progression condition of the object at a second time based on the medical information of the first time, where the progression condition is indicative of a prognosis risk, and the second time is after the first time. The method may also include generating a prognosis image at the second time reflecting the morphology of the object at the second time based on the medical information of the first time. The method may additionally include providing the progression condition of the object at the second time and the prognosis image at the second time to an information management system for presentation to a user.
-
公开(公告)号：US11538161B2
公开(公告)日：2022-12-27
申请号：US17015070
申请日：2020-09-08
Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION
Inventor： Xin Wang , Youbing Yin , Kunlin Cao , Yuwei Li , Junjie Bai , Xiaoyang Xu
Abstract: The disclosure relates to systems and methods for evaluating a blood vessel. The method includes receiving image data of the blood vessel acquired by an image acquisition device, and predicting, by a processor, blood vessel condition parameters of the blood vessel by applying a deep learning model to the acquired image data of the blood vessel. The deep learning model maps a sequence of image patches on the blood vessel to blood vessel condition parameters on the blood vessel, where in the mapping the entire sequence of image patches contribute to the blood vessel condition parameters. The method further includes providing the blood vessel condition parameters of the blood vessel for evaluating the blood vessel.
-
Patent Agency Ranking
46.发明申请公开(公告)号：US20220215535A1
公开(公告)日：2022-07-07
申请号：US17567458
申请日：2022-01-03
Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION
Inventor： Bin Kong , Youbing Yin , Xin Wang , Yi Lu , Haoyu Yang , Junjie Bai , Qi Song
Abstract: Embodiments of the disclosure provide methods and systems for joint abnormality detection and physiological condition estimation from a medical image. The exemplary method may include receiving, by at least one processor, the medical image acquired by an image acquisition device. The medical image includes an anatomical structure. The method may further include applying, by the at least one processor, a joint learning model to determine an abnormality condition and a physiological parameter of the anatomical structure jointly based on the medical image. The joint learning model satisfies a predetermined constraint relationship between the abnormality condition and the physiological parameter.
-
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.
-
48.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.
-
49.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.
-
50.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.
-
-
-
-
-
-
-
-
-
Search Results
53
records
(took 0.025 seconds)
