公开(公告)号：US11847809B2

公开(公告)日：2023-12-19

申请号：US17373541

申请日：2021-07-12

Applicant: Mazor Robotics Ltd.

Inventor： Ido Zucker ,  Avi Turgeman

IPC: A61B34/20 ,  G06T7/73 ,  G06V10/25 ,  A61B34/30 ,  G06T7/246 ,  A61B90/00

CPC classification number: G06V10/25 ,  A61B34/20 ,  A61B34/30 ,  G06T7/246 ,  G06T7/73 ,  A61B2034/2057 ,  A61B2034/2065 ,  A61B2090/363 ,  G06T2207/10028 ,  G06T2207/30012 ,  G06T2207/30196 ,  G06T2207/30204 ,  G06V2201/033

Abstract: Systems, devices, and methods for identifying a region of interest are provided. A plurality of skeletal landmarks may be identified from an image received from an imaging device. A pose of a patient may be determined based on the plurality of skeletal landmarks. A region of interest may be identified on the patient based on the determined pose. Instructions may be automatically provided to the controller to adjust a pose of a surgical instrument relative to the region of interest. The plurality of skeletal landmarks may be tracked for movement. The region of interest may be updated when movement of the plurality of skeletal landmarks is detected.

公开(公告)号：US20230368373A1

公开(公告)日：2023-11-16

申请号：US17310311

申请日：2021-05-06

Applicant: MEDICALIP CO., LTD.

Inventor： Hyuk Hee Lee ,  Soon Ho Yoon ,  Doo Hee Lee

IPC: G06T7/00 ,  G06V10/774 ,  G06T7/62 ,  G06T7/11 ,  G16H30/40 ,  G16H50/20

CPC classification number: G06T7/0012 ,  G06V10/774 ,  G06T7/62 ,  G06T7/11 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/30012 ,  G06T2207/30101 ,  G06T2207/30088 ,  G06V2201/033 ,  G06T2207/10081

Abstract: Provided are a method and an apparatus for analyzing a body composition by using a medical image. The apparatus for analyzing the body composition trains a first artificial intelligence model by using training data labelling a body tissue region, such as muscle or fat, in a medical image for training, and then, segments a body tissue from an examination medical image by using the first artificial intelligence model and outputs body composition information based on a region, a volume, or a weight of the body tissue of the examination medical image. The disclosure is a technique developed through the Seoul Business Agency's 2020 support project for artificial intelligence (AI) technology industrialization (CY20053), “AI Verification and Industrialization of Computed Tomography (CT) Image-based Opportunistic Screening of Metabolic Syndrome, Osteoporosis, and Muscle Reduction.”

公开(公告)号：US20230274426A1

公开(公告)日：2023-08-31

申请号：US18175415

申请日：2023-02-27

Applicant: FUJIFILM Corporation

Inventor： Tomoko TAKI

IPC: G06T7/00 ,  A61B6/00 ,  G06T7/70 ,  G06T3/60 ,  G06V10/22 ,  G06V20/50

CPC classification number: G06T7/0012 ,  A61B6/505 ,  G06T7/70 ,  G06T3/60 ,  G06V10/22 ,  G06V20/50 ,  G06T2207/10116 ,  G06T2207/30008 ,  G06V2201/033

Abstract: The radiation image analysis device acquires an X-ray image obtained by performing X-ray radiography on a subject including a bone part, acquires a rotation angle from a reference position of the bone part on the basis of the X-ray image, and acquires bone quantity information of the bone part by correcting pre-correction bone quantity information of the bone part obtained by converting a pixel value for each pixel of the X-ray image on the basis of the rotation angle.

公开(公告)号：US11704796B2

公开(公告)日：2023-07-18

申请号：US17142187

申请日：2021-01-05

Applicant: Ping An Technology (Shenzhen) Co., Ltd.

Inventor： Kang Zheng ,  Yirui Wang ,  Shun Miao ,  Changfu Kuo ,  Chen-I Hsieh

IPC: G06T7/00 ,  G06T7/73 ,  G06N3/08 ,  A61B6/00 ,  G06T7/11 ,  G06N3/04 ,  G16H30/40 ,  G16H50/30 ,  G06F18/213 ,  G06V10/764 ,  G06V10/82 ,  G06V10/44

CPC classification number: G06T7/0012 ,  A61B6/469 ,  A61B6/505 ,  A61B6/5217 ,  G06F18/213 ,  G06N3/04 ,  G06N3/08 ,  G06T7/11 ,  G06T7/73 ,  G06V10/44 ,  G06V10/764 ,  G06V10/82 ,  G16H30/40 ,  G16H50/30 ,  G06T2207/10116 ,  G06T2207/20072 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30012 ,  G06T2207/30052 ,  G06T2207/30168 ,  G06V2201/033

Abstract: The present disclosure provides a computer-implemented method, a device, and a computer program product for radiographic bone mineral density (BMD) estimation. The method includes receiving a plain radiograph, detecting landmarks for a bone structure included in the plain radiograph, extracting an ROI from the plain radiograph based on the detected landmarks, estimating the BMD for the ROI extracted from the plain radiograph by using a deep neural network.

公开(公告)号：US20230177684A1

公开(公告)日：2023-06-08

申请号：US18057422

申请日：2022-11-21

Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

Inventor： Jung Won LEE ,  Yang Gon KIM ,  Su Bin BAE ,  Hyeon Woong JANG

IPC: G06T7/00 ,  G06T7/33 ,  G06T7/68 ,  G06V10/26

CPC classification number: G06T7/0012 ,  G06T7/33 ,  G06T7/68 ,  G06V10/26 ,  G06T2207/30012 ,  G06T2207/30061 ,  G06V2201/033 ,  G06V2201/031 ,  G06T2207/10116

Abstract: The present invention relates to a method and apparatus for evaluating inspiration-level quality of a chest radiographic image, wherein the method includes extracting a lung region from a chest radiographic image, detecting a rib cage from the extracted lung region, analyzing a degree of inspiration when the chest radiographic image is captured, and evaluating quality of the chest radiographic image. It is possible for the present invention to be applied to other embodiments.

公开(公告)号：US20230141392A1

公开(公告)日：2023-05-11

申请号：US18095857

申请日：2023-01-11

Applicant: Shanghai United Imaging Intelligence Co., Ltd.

Inventor： Ziyan Wu ,  Srikrishna Karanam ,  Changjiang Cai ,  Georgios Georgakis

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

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

Abstract: 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.

公开(公告)号：US20240355479A1

公开(公告)日：2024-10-24

申请号：US18580973

申请日：2022-01-24

Applicant: HITACHI HIGH-TECH CORPORATION

Inventor： Hiromitsu NAKAGAWA ,  Takeshi TANAKA ,  Daisuke FUKUI

IPC: G16H50/30 ,  G06T7/00 ,  G06T7/70 ,  G06V40/20 ,  G16H30/40

CPC classification number: G16H50/30 ,  G06T7/0016 ,  G06T7/70 ,  G06V40/25 ,  G16H30/40 ,  G06T2207/20081 ,  G06V2201/033

Abstract: A measurement apparatus includes: a measurement data acquisition unit configured to acquire measurement data of a target; and a processing unit configured to process the measurement data. The processing unit estimates a skeleton of a living body that is the target based on the measurement data, estimates a measurement condition related to the measurement data using an estimation result of the skeleton, obtains a similarity between the measurement condition and an assumed condition assumed in advance, and selects measurement data related to evaluation of a state of the target based on the similarity. With the configuration and operations,, it is possible to efficiently collect data related to evaluation of a state of a target while considering a restriction of a location where measurement data is acquired, without collecting a large amount of data.

公开(公告)号：US12094114B2

公开(公告)日：2024-09-17

申请号：US17689208

申请日：2022-03-08

Applicant: Ping An Technology (Shenzhen) Co., Ltd. ,  Chang Gung Memorial Hospital, Linkou

Inventor： Fakai Wang ,  Chang-Fu Kuo ,  Kang Zheng ,  Shun Miao ,  Yirui Wang ,  Le Lu

IPC: G06T3/40 ,  A61B6/00 ,  A61B6/50 ,  G06T7/00 ,  G06V10/25

CPC classification number: G06T7/0012 ,  A61B6/482 ,  A61B6/505 ,  G06T3/40 ,  G06V10/25 ,  G06T2207/10116 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30008 ,  G06V2201/033

Abstract: A method of opportunistic screening of osteoporosis includes obtaining a plain film chest X-ray (CXR); extracting regions of interest (ROIs) from the plain film CXR; and providing individual bone mineral density (BMD) scores corresponding to the extracted ROIs and a joint BMD corresponding to the plain film CXR based on a multi-ROI model by performing: inputting the extracted ROIs into a backbone network to generate individual feature vectors, each individual feature vector corresponding to one of the extracted ROIs; concatenating the individual feature vectors into a joint feature vector; individually decoding the individual feature vectors by a shared fully connected (FC) layer to generate the individual BMDs, each individual BMD corresponding to one of the individual feature vectors; and decoding the joint feature vector by a separate FC layer to generate the joint BMD.

公开(公告)号：US20240169546A1

公开(公告)日：2024-05-23

申请号：US18429322

申请日：2024-01-31

Applicant: EXINI Diagnostics AB

Inventor： Jens Filip Andreas Richter ,  Kerstin Elsa Maria Johnsson ,  Erik Konrad Gjertsson ,  Aseem Undvall Anand

IPC: G06T7/11 ,  A61B6/00 ,  A61B6/03 ,  A61B6/46 ,  A61B6/50 ,  A61K51/04 ,  G06F18/214 ,  G06V20/64 ,  G06V20/69 ,  G06V30/24 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/30 ,  G16H50/50

CPC classification number: G06T7/11 ,  A61B6/032 ,  A61B6/037 ,  A61B6/463 ,  A61B6/466 ,  A61B6/481 ,  A61B6/505 ,  A61B6/507 ,  A61B6/5205 ,  A61B6/5241 ,  A61B6/5247 ,  A61K51/0455 ,  G06F18/214 ,  G06V20/64 ,  G06V20/695 ,  G06V20/698 ,  G06V30/2504 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/30 ,  G16H50/50 ,  G06V2201/031 ,  G06V2201/033

Abstract: Presented herein are systems and methods that provide for automated analysis of three-dimensional (3D) medical images of a subject in order to automatically identify specific 3D volumes within the 3D images that correspond to specific anatomical regions (e.g., organs and/or tissue). Notably, the image analysis approaches described herein are not limited to a single particular organ or portion of the body. Instead, they are robust and widely applicable, providing for consistent, efficient, and accurate detection of anatomical regions, including soft tissue organs, in the entire body. In certain embodiments, the accurate identification of one or more such volumes is used to automatically determine quantitative metrics that represent uptake of radiopharmaceuticals in particular organs and/or tissue regions. These uptake metrics can be used to assess disease state in a subject, determine a prognosis for a subject, and/or determine efficacy of a treatment modality.

公开(公告)号：US11963829B2

公开(公告)日：2024-04-23

申请号：US17068714

申请日：2020-10-12

Applicant: Patrick C. Bell ,  Leo J. Malin ,  Thomas J. Arendt

Inventor： Patrick C. Bell ,  Leo J. Malin ,  Thomas J. Arendt

IPC: A61B90/00 ,  A61B5/055 ,  A61B6/03 ,  A61B6/40 ,  A61B6/51 ,  A61C9/00 ,  A61C13/00 ,  G06V10/22 ,  G06V10/24 ,  G06V20/20

CPC classification number: A61B90/39 ,  A61C9/0046 ,  A61C13/0004 ,  G06V10/22 ,  G06V10/24 ,  G06V20/20 ,  A61B5/055 ,  A61B6/032 ,  A61B6/4085 ,  A61B6/51 ,  A61B2090/3912 ,  A61B2090/3916 ,  A61B2090/3991 ,  G06V10/245 ,  G06V2201/033

Abstract: Example fiducial markers include features that make them particularly useful in dental scanning methods for analyzing jaws of a patient, wherein the dental scanning methods involve taking multiple scans of the jaws, and/or models thereof, and then shifting the image of one scan to match that of another. Prior to scanning, the fiducial markers are attached to the patient's jaws to accurately identify and track the relative position of the jaws.