公开(公告)号：US20190392261A1

公开(公告)日：2019-12-26

申请号：US16099140

申请日：2017-02-21

Applicant: SHANDONG UNIVERSITY

Inventor： Zhi LIU ,  Mingyu NIE ,  Qingchen QIU ,  Yulin SUN

IPC: G06K9/62 ,  G06F17/16

Abstract: The present invention discloses an end-member extraction method based on segmented VCA, comprising: conducting rough segmentation on a hyperspectral image by using an unsupervised classification method to partition image elements having a similar substance into the same block; conducting end-member extraction on an area in each partitioned block by using VCA, inverting the abundance by using a least square method after the end-member extraction, and determining one main end-member for each block according to the abundance value; and extracting the main end-members in all blocks and forming an end-member matrix of a global image. In the present invention, the VCA end-member extraction method is used in relatively simple partitioned environment blocks, and the main end-members in the blocks are then controlled by using the abundance inversion result feedback in the blocks, so as to prevent missing main end-members.

公开(公告)号：US20230128130A1

公开(公告)日：2023-04-27

申请号：US17911292

申请日：2021-12-14

Applicant: SHANDONG UNIVERSITY

Inventor： Zhi LIU ,  Yankun CAO

IPC: G06T17/00 ,  G06T5/50 ,  G06T7/11 ,  G06T7/33 ,  G06T7/66 ,  G06V10/764

Abstract: A method and system for 3D reconstruction of coronary artery based on vascular branch registration. The method includes: classifying bifurcated vessels and normal vessels of an intravascular ultrasound image and segmenting intima and adventitia of the bifurcated vessels and normal vessels separately; extracting a 3D centerline of a CAG image; locating vascular branches and automatically matching key points of the CAG image; and registering the intima and adventitia segmentation images to the 3D centerline of the CAG image according to the key points of the CAG image and performing 3D reconstruction of the coronary artery. The method uses automatic matching of vascular branches to fuse CAG and IVUS images and reconstruct them in 3D, which is more helpful for intuitive judgment of doctors on the premise of improving speed and accuracy, and is of great significance for auxiliary diagnosis of diseases.

公开(公告)号：US20230129990A1

公开(公告)日：2023-04-27

申请号：US17910466

申请日：2021-07-16

Applicant: SHANDONG UNIVERSITY

Inventor： Zhi LIU ,  Yankun CAO

IPC: B25J11/00 ,  G05D1/02 ,  B25J9/16 ,  B25J19/02

Abstract: An omni-bearing intelligent nursing system and method for a high-infectious isolation ward, including: a nursing robot, including a robot body and a controller; a plurality of collectors, arranged in the isolation ward and used for detecting the physiological index of the user and transmitting the physiological index to a remote control system; a communication network, in a star topology structure and including a plurality of communication modules, and configured to realize the communication of each the nursing robot, the collector and the remote control system; and the remote control system, receiving the information of the collector, performing feature extraction on the collect multi-element physiological signals, combining the basic information of the user, perform learning by a decision tree model, dynamically adjusting the corresponding nursing level, and sending an instruction to the corresponding nursing robot.

公开(公告)号：US20250078279A1

公开(公告)日：2025-03-06

申请号：US18279316

申请日：2022-12-29

Applicant: SHANDONG UNIVERSITY

Inventor： Zhi LIU ,  Mujun AN ,  Kemeng TAO ,  Yankun CAO

IPC: G06T7/10 ,  G06T7/33 ,  G06T17/20

Abstract: The present disclosure provides a method and a system for fully automatically segmenting a cerebral cortex surface based on a graph network, belongs to the field of medical image technology and devices, and solves the problem that space mapping noise is easily introduced in the mapping process in the related art, and a lot of time is cost for mapping to a sphere surface space to finish segmentation and then mapping back to an original space. The method includes: registering a cerebral magnetic resonance image to a standard template space; performing cerebral cortex surface reconstruction on the registered cerebral magnetic resonance image based on a deep neural network; calculating adjacency matrices among the vertexes of the reconstructed cerebral cortex; acquiring corresponding distinguishing features of each grid vertex of the cerebral cortex surface as corresponding feature vectors of the point so as to obtain a cerebral cortex surface segmentation result; and mapping the cerebral cortex surface segmentation result back to the original coordinate space from the standard template space. According to the present disclosure, graph structure modeling is performed on the reconstructed cerebral cortex surface, and the global topological structure features are learned based on the graph network, thus realizing the accurate segmentation of the cerebral cortex surface.

公开(公告)号：US20240203599A1

公开(公告)日：2024-06-20

申请号：US17910556

申请日：2021-07-16

Applicant: SHANDONG UNIVERSITY

Inventor： Zhi LIU ,  Yujun LI ,  Xifeng HU ,  Weifeng HU

IPC: G16H50/30 ,  G16H10/60

CPC classification number: G16H50/30 ,  G16H10/60

Abstract: A method and system of predicting disease risk based on multimodal fusion, the method comprises: obtaining electronic health record (EHR) data of the patient, inputting the EHR data into the disease risk prediction model to obtain the disease risk prediction result; and outputting the disease risk prediction result; wherein, the disease risk prediction model performing steps of: identifying the EHR data as the structured data and the unstructured data; performing the data cleaning on the structure data and the unstructured data; extracting structured data features and unstructured data features; extracting fusion features, wherein the fusion features are features fusing the unstructured data feature and the structured data feature; and, performing the disease risk prediction on the fusion features.

公开(公告)号：US20230270404A1

公开(公告)日：2023-08-31

申请号：US18024320

申请日：2022-09-05

Applicant: SHANDONG UNIVERSITY

Inventor： Zhi LIU ,  Yankun CAO

IPC: A61B8/08 ,  A61B8/06

CPC classification number: A61B8/0891 ,  A61B8/06 ,  A61B8/488 ,  A61B8/5223

Abstract: A carotid artery ultrasonic examination report generation system which includes an ultrasonic device which acquires multi-modal information of a to-be-examined carotid artery; the processor is connected with the ultrasonic device, and includes: a plaque type recognition module that inputs multi-modal information into a plaque type recognition model to obtain the carotid artery's plaque type; an image division module inputs an ultrasonic image into different division models according to plaque type to obtain a divided image set; an abnormity detection module calculates image parameter set based on divided image set and input image parameter set into a carotid artery abnormity detection model to obtain a result indicating whether the carotid artery is abnormal; and a carotid artery ultrasonic examination report generation module generates a report based on the image parameter set, plaque type, blood flow spectrum pattern, blood flow kinetic parameters and result indicates whether the carotid artery is abnormal.