公开(公告)号：US20240169745A1

公开(公告)日：2024-05-23

申请号：US18514637

申请日：2023-11-20

申请人： CLARIPI INC.

发明人： Jong Hyo KIM ,  Chang Won KIM ,  Je Myoung LEE ,  Tae Jin KIM

IPC分类号： G06V20/60 ,  G06T5/00 ,  G06T7/11 ,  G06T15/10 ,  G06V10/77 ,  G06V20/50 ,  G16H30/40

CPC分类号： G06V20/60 ,  G06T5/002 ,  G06T7/11 ,  G06T15/10 ,  G06V10/77 ,  G06V20/50 ,  G16H30/40 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10104 ,  G06T2207/20021 ,  G06T2207/20081 ,  G06T2207/30012 ,  G06T2210/12 ,  G06T2210/41 ,  G06V2201/033

摘要： The present disclosure provides an apparatus of identifying a vertebral body from a medical image, and the apparatus includes a vertebral bone identification module configured to identify the vertebral body based on a multi-slice medical image provided from an outside, in which the vertebral identification module reconstructs the multi-slice medical image to create a three-dimensional medical image, obtains a coronal projection image for the three-dimensional medical image by projecting the three-dimensional medical image in a coronal plane direction, divides the coronal projection image into a selection area including at least one of a lumbar and a thoracic, obtains area information corresponding to the selection area in the three-dimensional medical image based on the divided selection area, and performs numbering on the vertebral body based on the area information and the three-dimensional medical image.

公开(公告)号：US11935283B2

公开(公告)日：2024-03-19

申请号：US17299685

申请日：2019-11-14

申请人： Union Strong (Beijing) Technology Co. Ltd.

发明人： Hailan Jin ,  Ling Song ,  Yin Yin ,  Guangming Yang ,  Yangyang Yao ,  Pengxiang Li ,  Lan Qin

IPC分类号： G06T7/00 ,  G06V10/764 ,  G06V10/82

CPC分类号： G06V10/82 ,  G06T7/0014 ,  G06V10/764 ,  G06T2207/10081 ,  G06T2207/30016 ,  G06T2207/30168 ,  G06V2201/031 ,  G06V2201/033

摘要： Disclosed are a cranial CT-based grading method and a corresponding system, which relate to the field of medical imaging. The cranial CT-based grading method as disclosed solves the problems of relatively great subjective disparities and poor operability in eye-balling ASPECTS assessment. The grading method includes: determining frames where target image slices are located from to-be-processed multi-frame cranial CT data; extracting target areas; performing infarct judgment on each target area included in the target areas to output an infarct judgment outcome regarding the target area; and outputting a grading outcome based on infarct judgment outcomes regarding all target areas. The grading method and system as disclosed may eliminate or mitigate the diagnosis disparities caused by human factors and imaging deviations due to different imaging devices, and shorten the time taken by human observation, consideration, and bared-eye grading, thereby serving as a computer-aided method to provide reference for medical studies on stoke.

公开(公告)号：US20240029415A1

公开(公告)日：2024-01-25

申请号：US17814746

申请日：2022-07-25

申请人： GE Precision Healthcare LLC

发明人： Dattesh Dayanand Shanbhag ,  Chitresh Bhushan ,  Soumya Ghose ,  Deepa Anand

IPC分类号： G06V10/774 ,  G06V10/77 ,  G06T19/20 ,  G06T15/08 ,  G06T7/00 ,  G16H30/40 ,  G16H50/50

CPC分类号： G06V10/7747 ,  G06V10/7715 ,  G06T19/20 ,  G06T15/08 ,  G06T7/0014 ,  G16H30/40 ,  G16H50/50 ,  G06T2207/20081 ,  G06T2207/30096 ,  G06T2207/30012 ,  G06V2201/033 ,  G06T2219/2021 ,  G06T2210/41

摘要： Systems and methods are provided for an image processing system. In an example, a method includes acquiring a pathology dataset, acquiring a reference dataset, generating a deformation field by mapping points of a reference case of the reference dataset to points of a patient image of the pathology dataset, manipulating the deformation field, applying the deformation field to the reference case to generate a simulated pathology image including a simulated deformation pathology, and outputting the simulated pathology image.

公开(公告)号：US20240281986A1

公开(公告)日：2024-08-22

申请号：US18439840

申请日：2024-02-13

申请人： CANON KABUSHIKI KAISHA

发明人： Kazuhiro MIYASA ,  Toru TANAKA

IPC分类号： G06T7/33 ,  G06T7/00 ,  G06T7/246 ,  G06V10/764 ,  G06V20/60

CPC分类号： G06T7/337 ,  G06T7/0016 ,  G06T7/248 ,  G06V10/764 ,  G06V20/60 ,  G06T2200/04 ,  G06T2207/10081 ,  G06T2207/30008 ,  G06V2201/033

摘要： An image processing apparatus includes: an obtaining unit configured to obtain at least one of first identification information and second identification information; a classification unit configured to classify, using the at least one piece of identification information, the plurality of first bones and the plurality of second bones into a first bone group including a bone that moves in association with a motion of a first part of the subject and a second bone group including a bone that moves in association with a motion of a second part different from the first part; and a registration unit configured to perform first registration between the plurality of first bones and the plurality of second bones classified into the first bone group and second registration between the plurality of first bones and the plurality of second bones classified into the second bone group.

公开(公告)号：US20240242528A1

公开(公告)日：2024-07-18

申请号：US18361961

申请日：2023-07-31

申请人： WENZEL SPINE, INC.

发明人： Seyfettin KULGU

IPC分类号： G06V40/10 ,  G06V10/764 ,  G06V10/82 ,  G16H15/00 ,  G16H20/40

CPC分类号： G06V40/10 ,  G06V10/764 ,  G06V10/82 ,  G16H15/00 ,  G16H20/40 ,  G06V2201/033

摘要： A system and method that includes storing a software application on a memory associated with a computer, which when executed by a processor causes the software application to develop a model of at least a portion of a spine, process images of the spine, recognize the vertebral bodies in the image, map the vertebral bodies, and display the images of the spine on a user interface associated with the computer. The mapped images can be use to develop a prediction model and/or a surgical plan.

公开(公告)号：US20240020823A1

公开(公告)日：2024-01-18

申请号：US17293250

申请日：2021-03-22

申请人： DEEPNOID CO., LTD. ,  GIMHAE BIOMEDICAL CENTER ,  JEONGSEOK RESEARCH FOUNDATION

发明人： Tae-Gyu KIM ,  Hyun-Ju CHOI ,  Hwa-Pyung KIM ,  Hao LI ,  Dae-Woo SEOK ,  Seung-Hoon LEE ,  Woo-Sik CHOI ,  Seung-Hwan LEE

IPC分类号： G06T7/00 ,  G06T7/194 ,  G06T7/11 ,  G06V20/50 ,  G06V10/764 ,  G06V10/774 ,  G16H50/20 ,  G16H30/40 ,  G16H50/50

CPC分类号： G06T7/0012 ,  G06T7/194 ,  G06T7/11 ,  G06V20/50 ,  G06V10/764 ,  G06V10/774 ,  G16H50/20 ,  G16H30/40 ,  G16H50/50 ,  G06T2207/30008 ,  G06T2207/30096 ,  G06T2207/30061 ,  G06T2207/20081 ,  G06V2201/031 ,  G06V2201/033 ,  G06T2207/30204 ,  G06T2207/10116

摘要： A deep learning-based lung disease diagnosis assistance system according to an embodiment of the present disclosure includes an image input unit inputting a diagnosis target image obtained by capturing a lung image; a bone area removal unit removing a bone area from the diagnosis target image to output a soft tissue image from which the bone area is removed, on the basis of the bone binary model; a lung area extraction unit extracting a lung area from the soft tissue image to output a lung image of the lung area on the basis of a lung segmentation model; and a lung disease diagnosis unit diagnosing whether lung disease is present in the lung image on the basis of a lung disease detection model.

公开(公告)号：US20230281842A1

公开(公告)日：2023-09-07

申请号：US18177459

申请日：2023-03-02

申请人： PEEK HEALTH S.A.

发明人： João Pedro de Araújo RIBEIRO ,  Sara Isabel Azevedo DA SILVA ,  Jaime Frederico Bastos DE CAMPOS

IPC分类号： G06T7/37 ,  G06V20/64 ,  G06V10/774 ,  G06V10/772 ,  G06V10/26 ,  G06T7/00

CPC分类号： G06T7/37 ,  G06V20/64 ,  G06V10/7747 ,  G06V10/772 ,  G06V10/26 ,  G06T7/0014 ,  G06T2207/10116 ,  G06V2201/033 ,  G06T2207/30008

摘要： The present disclosure relates generally to the generation of 3D models of anatomical structures from 2D radiographs. For example, a computer-implemented method for generating 3D models of anatomical structures from 2D radiographs of a patient can include receiving a 2D radiograph of at least one anatomical structure of interest, pre-processing the 2D radiograph to generate a pre-processed 2D radiograph, and generating, using an AI model, a 3D representation of the at least one anatomical structure of interest.

公开(公告)号：US11657600B2

公开(公告)日：2023-05-23

申请号：US17765795

申请日：2020-10-01

申请人： Adent ApS

发明人： Richard Bundsgaard ,  Thøger Bundsgaard

IPC分类号： G06V10/776 ,  G16H50/30 ,  G16H30/40 ,  G06V10/56 ,  G06V10/77 ,  G06V10/778 ,  G06V10/82 ,  G06V10/764 ,  G06T7/00

CPC分类号： G06V10/776 ,  G06T7/0012 ,  G06V10/56 ,  G06V10/764 ,  G06V10/7715 ,  G06V10/7796 ,  G06V10/82 ,  G16H30/40 ,  G16H50/30 ,  G06T2207/30036 ,  G06V2201/033

摘要： A method for remotely assessing oral health of a user of a mobile device by obtaining, using the mobile device (40), at least one digital image (1) of said user's (30) oral cavity (31) and additional non-image data (2) comprising anamnestic information about the user (30). The digital image (1) is processed both using a statistical object detection algorithm (20) to extract at least one local visual feature (3) corresponding to a medical finding related to a sub-region of said user's oral cavity (31); and also using a statistical image recognition algorithm (21) to extract at least one global classification label (4) corresponding to a medical finding related to said user's oral cavity (31) as a whole. An assessment (10) of the oral health of said user (30) is determined based on the local visual feature(s) (3), the global classification label(s) (4) and the non-image data (2).

公开(公告)号：US20240233295A1

公开(公告)日：2024-07-11

申请号：US18388568

申请日：2023-11-10

申请人： HOWMEDICA OSTEONICS CORPORATION

发明人： Ilwhan Park ,  Charlie W. Chi ,  Venkata Surya Sarva ,  Irene Min Choi ,  Elena Pavlovskaia ,  Oleg Mishin ,  Boris E. Shpungin

IPC分类号： G06T19/20 ,  A61B5/055 ,  A61B6/03 ,  A61B17/15 ,  A61B17/16 ,  A61B17/17 ,  A61B17/70 ,  A61B34/10 ,  A61B90/00 ,  B33Y10/00 ,  B33Y50/00 ,  B33Y50/02 ,  B33Y80/00 ,  G06F30/00 ,  G06F30/20 ,  G06T7/00 ,  G06T7/12 ,  G06T7/13 ,  G06T7/70 ,  G06T17/00 ,  G06T17/20 ,  G06V10/22 ,  G06V10/46 ,  G16H50/50

CPC分类号： G06T19/20 ,  A61B5/055 ,  A61B6/032 ,  A61B17/1675 ,  A61B17/1703 ,  A61B17/7013 ,  A61B34/10 ,  A61B90/37 ,  B33Y10/00 ,  B33Y50/00 ,  B33Y50/02 ,  B33Y80/00 ,  G06F30/00 ,  G06F30/20 ,  G06T7/0012 ,  G06T7/12 ,  G06T7/13 ,  G06T17/00 ,  G06T17/20 ,  G06V10/225 ,  G06V10/46 ,  G16H50/50 ,  A61B17/155 ,  A61B17/157 ,  A61B2017/1602 ,  A61B2034/105 ,  A61B2034/107 ,  A61B2034/108 ,  A61B2090/374 ,  A61B2090/3762 ,  G06T7/70 ,  G06T2200/08 ,  G06T2207/30008 ,  G06T2210/41 ,  G06T2219/2021 ,  G06V10/471 ,  G06V2201/033 ,  Y10T29/49826

摘要： A computer-implemented method of preoperatively planning a surgical procedure on a knee of a patient including determining femoral condyle vectors and tibial plateau vectors based on image data of the knee, the femoral condyle vectors and the tibial plateau vectors corresponding to motion vectors of the femoral condyles and the tibial plateau as they move relative to each other. The method may also include modifying a bone model representative of at least one of the femur and the tibia into a modified bone model based on the femoral condyle vectors and the tibial plateau vectors. And the method may further include determining coordinate locations for a resection of the modified bone model.

公开(公告)号：US11963741B2

公开(公告)日：2024-04-23

申请号：US18095857

申请日：2023-01-11

申请人： Shanghai United Imaging Intelligence Co., Ltd.

发明人： Ziyan Wu ,  Srikrishna Karanam ,  Changjiang Cai ,  Georgios Georgakis

IPC分类号： G06F18/21 ,  A61B5/00 ,  G06F18/214 ,  G06T7/00 ,  G06T7/50 ,  G06T7/70 ,  G06T7/90 ,  G06T17/00 ,  G06T17/20 ,  G06V10/40 ,  G06V10/42 ,  G06V10/764 ,  G06V10/774 ,  G06V10/778 ,  G06V10/82 ,  G06V20/62 ,  G06V20/64 ,  G06V40/10 ,  G06V40/20 ,  G16H10/60 ,  G16H30/20 ,  G16H30/40

CPC分类号： A61B5/0077 ,  A61B5/0035 ,  A61B5/70 ,  G06F18/21 ,  G06F18/214 ,  G06F18/2193 ,  G06T7/0012 ,  G06T7/50 ,  G06T7/70 ,  G06T7/90 ,  G06T17/00 ,  G06T17/20 ,  G06V10/40 ,  G06V10/42 ,  G06V10/764 ,  G06V10/774 ,  G06V10/7796 ,  G06V10/82 ,  G06V20/62 ,  G06V20/64 ,  G06V40/10 ,  G06V40/20 ,  G16H10/60 ,  G16H30/20 ,  G16H30/40 ,  G06T2200/08 ,  G06T2207/10024 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06T2207/30196 ,  G06V2201/033

摘要： The pose and shape of a human body may be recovered based on joint location information associated with the human body. The joint location information may be derived based on an image of the human body or from an output of a human motion capture system. The recovery of the pose and shape of the human body may be performed by a computer-implemented artificial neural network (ANN) trained to perform the recovery task using training datasets that include paired joint location information and human model parameters. The training of the ANN may be conducted in accordance with multiple constraints designed to improve the accuracy of the recovery and by artificially manipulating the training data so that the ANN can learn to recover the pose and shape of the human body even with partially observed joint locations.