公开(公告)号：US12023193B2

公开(公告)日：2024-07-02

申请号：US17692087

申请日：2022-03-10

Applicant: Jianqiang Liu ,  Manat Maolinbay ,  Chwen-yuan Ku ,  Linbo Yang

Inventor： Jianqiang Liu ,  Manat Maolinbay ,  Chwen-yuan Ku ,  Linbo Yang

IPC: A61B6/50 ,  A61B6/00 ,  A61B6/02 ,  A61B6/03 ,  A61B6/04 ,  A61B6/06 ,  A61B6/08 ,  A61B6/40 ,  A61B6/42 ,  A61B6/46 ,  A61B6/58 ,  G01N23/044 ,  G01N23/083 ,  G01N23/18 ,  G06T7/00 ,  G06T7/11 ,  G06T11/00 ,  G06T17/00 ,  G06V10/25 ,  G06V10/62 ,  G16H10/60 ,  G16H30/20 ,  G16H50/20

CPC classification number: A61B6/541 ,  A61B6/025 ,  A61B6/032 ,  A61B6/035 ,  A61B6/0407 ,  A61B6/06 ,  A61B6/08 ,  A61B6/4007 ,  A61B6/4014 ,  A61B6/4021 ,  A61B6/405 ,  A61B6/4208 ,  A61B6/4283 ,  A61B6/4405 ,  A61B6/4441 ,  A61B6/4452 ,  A61B6/4476 ,  A61B6/4482 ,  A61B6/467 ,  A61B6/482 ,  A61B6/54 ,  A61B6/542 ,  A61B6/56 ,  A61B6/583 ,  G01N23/044 ,  G01N23/083 ,  G01N23/18 ,  G06T7/0012 ,  G06T7/0016 ,  G06T7/11 ,  G06T11/003 ,  G06T11/006 ,  G06T17/00 ,  G06V10/25 ,  G06V10/62 ,  G16H10/60 ,  G16H30/20 ,  G16H50/20 ,  A61B6/4275 ,  A61B6/502 ,  G01N2223/401 ,  G06T2200/24 ,  G06T2207/10076 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30064 ,  G06T2207/30096 ,  G06T2207/30168 ,  G06T2210/41 ,  G06V2201/032

Abstract: An X-ray imaging system using multiple pulsed X-ray source pairs in-motion to perform highly efficient and ultrafast 3D radiography is presented. The sources move simultaneously on arc trajectory at a constant speed as a group. Each individual source also moves rapidly around its static position in a small distance, but one moves in opposite direction to the other to cancel out linear momentum. Trajectory can also be arranged at a ring structure horizontally. In X-ray source pairs each moves in opposite angular direction to another to cancel out angular momentum. When an individual X-ray source has a speed that equals to group speed but an opposite linear or angular direction, the individual X-ray source is triggered through an external exposure control unit. This allows the source to stay relatively standstill during activation. 3D data can be acquired with wider view in shorter time and image analysis is real-time.

公开(公告)号：US11857359B2

公开(公告)日：2024-01-02

申请号：US18124472

申请日：2023-03-21

Applicant: Jianqiang Liu ,  Manat Maolinbay ,  Chwen-yuan Ku ,  Linbo Yang

Inventor： Jianqiang Liu ,  Manat Maolinbay ,  Chwen-yuan Ku ,  Linbo Yang

IPC: A61B6/00 ,  A61B6/02 ,  G06T17/00 ,  G01N23/044 ,  A61B6/03 ,  A61B6/06 ,  G01N23/083 ,  G01N23/18 ,  G06T7/00 ,  G06T11/00 ,  A61B6/04 ,  G06T7/11 ,  G16H10/60 ,  G16H30/20 ,  G16H50/20 ,  G06V10/25 ,  G06V10/62 ,  A61B6/08

CPC classification number: A61B6/541 ,  A61B6/025 ,  A61B6/032 ,  A61B6/035 ,  A61B6/0407 ,  A61B6/06 ,  A61B6/08 ,  A61B6/405 ,  A61B6/4007 ,  A61B6/4014 ,  A61B6/4021 ,  A61B6/4208 ,  A61B6/4283 ,  A61B6/4405 ,  A61B6/4441 ,  A61B6/4452 ,  A61B6/4476 ,  A61B6/4482 ,  A61B6/467 ,  A61B6/482 ,  A61B6/54 ,  A61B6/542 ,  A61B6/56 ,  A61B6/583 ,  G01N23/044 ,  G01N23/083 ,  G01N23/18 ,  G06T7/0012 ,  G06T7/0016 ,  G06T7/11 ,  G06T11/003 ,  G06T11/006 ,  G06T17/00 ,  G06V10/25 ,  G06V10/62 ,  G16H10/60 ,  G16H30/20 ,  G16H50/20 ,  A61B6/4275 ,  A61B6/502 ,  G01N2223/401 ,  G06T2200/24 ,  G06T2207/10076 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30064 ,  G06T2207/30096 ,  G06T2207/30168 ,  G06T2210/41 ,  G06V2201/032

Abstract: An X-ray imaging system using multiple pulsed X-ray sources to perform highly efficient and ultrafast 3D radiography is presented. There are multiple pulsed X-ray sources mounted on a structure in motion to form an array of sources. The multiple X-ray sources move simultaneously relative to an object on a pre-defined arc track at a constant speed as a group. Electron beam inside each individual X-ray tube is deflected by magnetic or electrical field to move focal spot a small distance. When focal spot of an X-ray tube beam has a speed that is equal to group speed but with opposite moving direction, the X-ray source and X-ray flat panel detector are activated through an external exposure control unit so that source tube stay momentarily standstill equivalently. 3D scan can cover much wider sweep angle in much shorter time and image analysis can also be done in real-time.

公开(公告)号：US11836925B2

公开(公告)日：2023-12-05

申请号：US17664422

申请日：2022-05-22

Applicant: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.

Inventor： Miaofei Han ,  Yaozong Gao ,  Yu Zhang ,  Yiqiang Zhan

IPC: G06T7/11 ,  G06T7/62 ,  G06T7/149 ,  A61B5/107 ,  G06V30/24

CPC classification number: G06T7/11 ,  A61B5/1073 ,  G06T7/149 ,  G06T7/62 ,  G06V30/2504 ,  A61B2576/02 ,  G06T2207/30084 ,  G06V2201/031 ,  G06V2201/032

Abstract: A system for image segmentation is provided. The system may obtain a target image including an ROI, and segment a preliminary region representative of the ROI from the target image using a first ROI segmentation model corresponding to a first image resolution. The system may segment a target region representative of the ROI from the preliminary region using a second ROI segmentation model corresponding to a second image resolution. At least one model of the first and second ROI segmentation models may at least include a first convolutional layer and a second convolutional layer downstream to the first convolutional layer. A count of input channels of the first convolutional layer may be greater than a count of output channels of the first convolutional layer, and a count of input channels of the second convolutional layer may be smaller than a count of output channels of the second convolutional layer.

公开(公告)号：US20230309836A1

公开(公告)日：2023-10-05

申请号：US17981913

申请日：2022-11-07

Applicant: GE Precision Healthcare LLC

Inventor： Souyma Ghose ,  Zhanpan Zhang ,  Sanghee Cho ,  Fiona Ginty ,  Cynthia Elizabeth Landberg Davis ,  Jhimli Mitra ,  Sunil S. Badve ,  Yesim Gokmen-Polar ,  Elizabeth Mary McDonough

IPC: A61B5/00 ,  G06K9/62 ,  G06T7/00 ,  G16H50/20

CPC classification number: A61B5/0091 ,  A61B5/004 ,  A61B5/4312 ,  A61B5/7275 ,  A61B5/742 ,  G06K9/6223 ,  G06V2201/032 ,  G16H50/20 ,  A61B2576/02 ,  G06T2207/10116 ,  G06T2207/30068 ,  G06T2207/30096 ,  G06T7/0012

Abstract: A method for determining a recurrence of a disease in a patient is presented. The method includes generating a plurality of medical images of an organ of the patient and determining a plurality of recurrence probabilities from the plurality of medical images. A recurrence of the disease is determined based on the plurality of recurrence probabilities and clinicopathological data of the patient using a Bayesian network.

公开(公告)号：US20240346655A1

公开(公告)日：2024-10-17

申请号：US18754966

申请日：2024-06-26

Applicant: IMIDEX, INC.

Inventor： Richard Vlasimsky

IPC: G06T7/00 ,  A61B6/00 ,  A61B6/50 ,  G06N3/045 ,  G06T3/40 ,  G06T7/11 ,  G06V10/764 ,  G06V10/82 ,  G16H30/40 ,  G16H50/20

CPC classification number: G06T7/0012 ,  A61B6/50 ,  A61B6/5217 ,  G06N3/045 ,  G06T3/40 ,  G06T7/11 ,  G06V10/764 ,  G06V10/82 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10116 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30061 ,  G06T2207/30096 ,  G06T2207/30168 ,  G06V2201/032

Abstract: The present system provides methods and systems of detecting lung abnormalities in chest x-ray images using at least two neural networks.

公开(公告)号：US20240122568A1

公开(公告)日：2024-04-18

申请号：US18514345

申请日：2023-11-20

Applicant: Jianqiang Liu ,  Manat Maolinbay ,  Chwen-yuan Ku ,  Linbo Yang

Inventor： Jianqiang Liu ,  Manat Maolinbay ,  Chwen-yuan Ku ,  Linbo Yang

IPC: A61B6/00 ,  A61B6/02 ,  A61B6/03 ,  A61B6/04 ,  A61B6/06 ,  A61B6/08 ,  A61B6/40 ,  A61B6/42 ,  A61B6/46 ,  A61B6/58 ,  G01N23/044 ,  G01N23/083 ,  G01N23/18 ,  G06T7/00 ,  G06T7/11 ,  G06T11/00 ,  G06T17/00 ,  G06V10/25 ,  G06V10/62 ,  G16H10/60 ,  G16H30/20 ,  G16H50/20

CPC classification number: A61B6/541 ,  A61B6/025 ,  A61B6/032 ,  A61B6/035 ,  A61B6/0407 ,  A61B6/06 ,  A61B6/08 ,  A61B6/4007 ,  A61B6/4014 ,  A61B6/4021 ,  A61B6/405 ,  A61B6/4208 ,  A61B6/4283 ,  A61B6/4405 ,  A61B6/4441 ,  A61B6/4452 ,  A61B6/4476 ,  A61B6/4482 ,  A61B6/467 ,  A61B6/482 ,  A61B6/54 ,  A61B6/542 ,  A61B6/56 ,  A61B6/583 ,  G01N23/044 ,  G01N23/083 ,  G01N23/18 ,  G06T7/0012 ,  G06T7/0016 ,  G06T7/11 ,  G06T11/003 ,  G06T11/006 ,  G06T17/00 ,  G06V10/25 ,  G06V10/62 ,  G16H10/60 ,  G16H30/20 ,  G16H50/20 ,  A61B6/4275 ,  A61B6/502 ,  G01N2223/401 ,  G06T2200/24 ,  G06T2207/10076 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30064 ,  G06T2207/30096 ,  G06T2207/30168 ,  G06T2210/41 ,  G06V2201/032

Abstract: An X-ray imaging system using multiple pulsed X-ray sources to perform highly efficient and ultrafast 3D radiography is presented. There are multiple pulsed X-ray sources mounted on a structure in motion to form an array of sources. The multiple X-ray sources move simultaneously relative to an object on a pre-defined arc track at a constant speed as a group. Electron beam inside each individual X-ray tube is deflected by magnetic or electrical field to move focal spot a small distance. When focal spot of an X-ray tube beam has a speed that is equal to group speed but with opposite moving direction, the X-ray source and X-ray flat panel detector are activated through an external exposure control unit so that source tube stay momentarily standstill equivalently. 3D scan can cover much wider sweep angle in much shorter time and image analysis can also be done in real-time.

公开(公告)号：US20240038388A1

公开(公告)日：2024-02-01

申请号：US17876713

申请日：2022-07-29

Applicant: Rakuten Group, Inc.

Inventor： Shreya SHARMA ,  Srikanth RAGOTHAMAN ,  Shantanu MAJUMDAR

IPC: G16H50/20 ,  G16H30/40 ,  G06V10/22 ,  G06V10/82 ,  G06T7/00 ,  G06V10/40 ,  G06V10/764

CPC classification number: G16H50/20 ,  G16H30/40 ,  G06V10/22 ,  G06V10/82 ,  G06T7/0014 ,  G06V10/40 ,  G06V10/764 ,  G06T2207/20084 ,  G06T2207/20081 ,  G06V2201/032 ,  G06T2207/30096

Abstract: A method, apparatus, and non-transitory computer-readable medium are provided for image processing of medical images. The method may include receiving one or more medical images. Tissue regions may be identified in each of the one or more medical images. The method may include generating patches associated with respective identified tissue regions. A patch tumor burden (TMB) score may be predicted for each of the patches based on a neural network model, wherein the neural network model is trained using a distribution smoother and a weighted loss function. The method may also include a tumor burden score being generated for each of the one or more medical images based on the patch tumor burden score for patches associated with the respective identified tissue regions in respective medical images from the one or more medical images.

公开(公告)号：US11869187B2

公开(公告)日：2024-01-09

申请号：US18181764

申请日：2023-03-10

Applicant: Johnson & Johnson Enterprise Innovation Inc.

Inventor： George R. Washko, Jr. ,  Christopher Scott Stevenson ,  Samuel Yoffe Ash ,  Raul San Jose Estepar ,  Matthew David Mailman

IPC: G06K9/00 ,  G06T7/00 ,  A61B6/03 ,  A61B6/00 ,  G06V10/40 ,  G16H50/50 ,  G16H50/30 ,  G16H30/40

CPC classification number: G06T7/0012 ,  A61B6/032 ,  A61B6/50 ,  A61B6/5217 ,  G06T7/0014 ,  G06V10/40 ,  G16H30/40 ,  G16H50/30 ,  G16H50/50 ,  G06T2207/10081 ,  G06T2207/10116 ,  G06T2207/20076 ,  G06T2207/30061 ,  G06T2207/30096 ,  G06V2201/032

Abstract: Risk prediction models are trained and deployed to analyze images, such as computed tomography scans, for predicting future risk of lung cancer for one or more subjects. Individual risk prediction models are separately trained on nodule-specific and non-nodule specific features such that each risk prediction model can predict future risk of lung cancer across different time periods (e.g., 1 year, 3 years, or 5 years). Such risk prediction models are useful for developing preventive therapies for lung cancer by enabling clinical trial enrichment.

公开(公告)号：US11857165B2

公开(公告)日：2024-01-02

申请号：US17351475

申请日：2021-06-18

Applicant: OLYMPUS WINTER & IBE GMBH

Inventor： Thorsten Juergens

IPC: G06T7/00 ,  A61B1/04 ,  G06V10/141 ,  G06V10/143 ,  A61B1/06 ,  G06N3/08 ,  H04N5/265 ,  A61B1/00 ,  G06F18/214 ,  H04N23/74

CPC classification number: A61B1/043 ,  A61B1/000094 ,  A61B1/044 ,  A61B1/0638 ,  A61B1/0655 ,  G06F18/214 ,  G06N3/08 ,  G06V10/141 ,  G06V10/143 ,  H04N5/265 ,  H04N23/74 ,  G06V2201/032

Abstract: A method for endoscopic imaging including: capturing white light images with a video endoscope under white light illumination; evaluating the captured white light images for a structure having a predefined characteristic, when the presence of the structure having the predefined characteristic is found in a white light image, setting a special light imaging mode in which a light source generates special light illumination using the at least one special light and one or more images of a video stream are captured under the special light illumination and subjected to image processing in the set special light processing mode; identifying a subregion of the at least one white light image that contains the structure with the predefined characteristic and reading out only the subregion of a CMOS image sensor associated with the video endoscope, and processing the image data read out from the subregion as one or more special light images.

公开(公告)号：US20230255468A1

公开(公告)日：2023-08-17

申请号：US18165180

申请日：2023-02-06

Applicant: COSMO ARTIFICIAL INTELLIGENCE-AI LIMITED

Inventor： NHAN NGO DINH ,  GIULIO EVANGELISTI ,  FLAVIO NAVARI

IPC: A61B1/31 ,  G06T7/70 ,  G16H30/20 ,  G06N3/08 ,  G06T7/00 ,  G06T11/00 ,  G06T11/60 ,  G06T11/20 ,  A61B1/00 ,  A61B5/00 ,  G06V20/40 ,  G06V10/82 ,  G06F18/214 ,  G06N3/045 ,  G06V10/25 ,  G06V10/20

CPC classification number: A61B1/31 ,  G06T7/70 ,  G16H30/20 ,  G06N3/08 ,  G06T7/0012 ,  G06T11/001 ,  G06T11/60 ,  G06T11/203 ,  A61B1/00055 ,  A61B5/7264 ,  G06V20/49 ,  A61B1/000096 ,  A61B5/7267 ,  G06V10/82 ,  A61B1/000094 ,  A61B1/000095 ,  G06F18/214 ,  G06N3/045 ,  G06V20/40 ,  G06V10/25 ,  G06V10/255 ,  G06T2207/10016 ,  G06T2207/20084 ,  G06T2207/30032 ,  G06T2207/30096 ,  G06T2207/10068 ,  G06V2201/03 ,  G06V2201/032 ,  G06T2207/30004 ,  G06T2207/30064

Abstract: The present disclosure relates to systems and methods for processing real-time video and detecting objects in the video. In one implementation, a system is provided that includes an input port for receiving real-time video obtained from a medical image device, a first bus for transferring the received real-time video, and at least one processor configured to receive the real-time video from the first bus, perform object detection by applying a trained neural network on frames of the received real-time video, and overlay a border indicating a location of at least one detected object in the frames. The system also includes a second bus for receiving the video with the overlaid border, an output port for outputting the video with the overlaid border from the second bus to an external display, and a third bus for directly transmitting the received real-time video to the output port.