-
公开(公告)号：US12124538B2
公开(公告)日：2024-10-22
申请号：US17187851
申请日：2021-02-28
发明人： Kris Dickie , Parisa Asgharzadeh
CPC分类号： G06F18/2178 , A61B8/08 , A61B8/085 , A61B8/0875 , A61B8/461 , A61B8/5207 , G06T7/10 , G06T2207/10132 , G06T2207/20081 , G06T2207/30008 , G06T2207/30096
摘要： Post-scan ultrasound images are masked and labeled with anatomical features identified in the images. Masks corresponding to the features are transformed into the coordinate system of the pre-scan, raw ultrasound data frames corresponding to the images. The masks and their respective raw ultrasound data frames are used to train an artificial intelligence model. The model is then used to predict the presence of anatomical features of the same type in other pre-scan ultrasound data. Once predicted, the raw data is scan converted for display as segmented ultrasound images that identify the predicted anatomical features. Deployment of the model on pre-scan data avoids the need to account for different levels of processing that may be applied to post-scan images, while the labeling for training the model may be done on the post-scan images.
-
公开(公告)号：US20240249823A1
公开(公告)日：2024-07-25
申请号：US18587883
申请日：2024-02-26
CPC分类号： G16H30/20 , A61B8/465 , G06F16/51 , G06F21/6245 , G16H40/20
摘要： The present embodiments relate generally to a system and method for creation of a patient account on a medical imaging system during a medical imaging examination. The method may involve operating a processor to: acquire a set of medical imaging data during the medical imaging examination, the set of medical imaging data being acquired in association with a logged-in medical professional account on the medical imaging system; display a new patient account prompt to initiate creation of the patient account; receive a patient identifier to initiate the creation of the patient account; and use the patient identifier to initiate the creation of the patient account, the patient account to be used for accessing at least a portion of the set of medical imaging data acquired during the medical imaging examination.
-
公开(公告)号：US11986347B2
公开(公告)日：2024-05-21
申请号：US17576988
申请日：2022-01-16
发明人： Daniel Rahardja , Binda Zhang
IPC分类号： A61B8/00
CPC分类号： A61B8/4433 , A61B8/4472 , A61B8/546 , A61B8/56
摘要： An ultrasound imaging system comprises an ultrasound imaging apparatus operable to acquire ultrasound image data and comprising a power accepting interface; and a dual function charging and cooling unit configured to detachably couple to the ultrasound imaging apparatus; wherein the dual function charging and cooling unit comprises i) a power conveying element to convey power to the ultrasound imaging apparatus and ii) an active cooling element for removing heat from the ultrasound imaging apparatus.
-
公开(公告)号：US20230380814A1
公开(公告)日：2023-11-30
申请号：US18231159
申请日：2023-08-07
CPC分类号： A61B8/565 , A61B8/462 , A61B8/4438 , G06F2211/005 , G06K7/1413 , G06K7/10237 , G06F3/1454 , G06K19/06028
摘要： The present embodiments relate generally to methods for providing viewing access to an ultrasound image feed generated at an ultrasound imaging machine. A multi-use display device may form a first link-layer connection with the ultrasound image machine for transmitting commands that control imaging parameters of the ultrasound image feed. The multi-use display device may then: determine link-layer connection parameters that allow the ultrasound imaging machine to form a second link-layer connection with a receiving device (the receiving device having no link-layer connection with the ultrasound imaging machine), and provide the connection parameters to the receiving device. The ultrasound imaging machine forms a second link-layer connection with the receiving device, based the connection parameters. The second link-layer connection is then used for receiving, at the receiving device, the ultrasound image feed controlled by the multi-use display device.
-
公开(公告)号：US11804020B2
公开(公告)日：2023-10-31
申请号：US17553541
申请日：2021-12-16
发明人： Laurent Pelissier , Kris Dickie
CPC分类号： G06T19/20 , A61B34/10 , G06T7/0012 , G06T17/00 , G16H30/20 , A61B2034/105 , G06T2200/24 , G06T2207/30004 , G06T2219/2012
摘要： A method of creating a 3D model, which is a visual representation of at least one physiological parameter, the method comprises deploying an AI model to execute on a computing device communicably connected to a medical imaging device, said medical imaging device acquiring medical imaging data, wherein the AI model is trained so that when it is deployed, the computing device identifies at least one physiological parameter from medical imaging data; acquiring, at the computing device, new medical imaging data; processing, using the AI model, the new medical imaging data to identify at least one physiological parameter (the “at least one identified physiological parameter”); employing the at least one identified physiological parameter to select a corresponding 3D model; and modifying the corresponding 3D model to alter one or more model parameters therein, to match the at least one identified physiological parameter, thereby customizing the visual appearance of the corresponding 3D model.
-
6.发明公开公开(公告)号：US20230215587A1
公开(公告)日：2023-07-06
申请号：US18114814
申请日：2023-02-27
IPC分类号： G16H80/00 , G16H10/60 , H04L67/306 , H04L67/1097 , G06F16/29
CPC分类号： G16H80/00 , G16H10/60 , H04L67/306 , H04L67/1097 , G06F16/29
摘要： The present embodiments relate generally to a system for improved storage of electronic health information, the system including: a computing device for receiving the electronic health information; and a server for communicating with the computing device, the server being accessible by the computing device at a first network location. The server can be configured to: receive a request from the computing device for a second network location, the second network location usable for storing the electronic health information, and the second network location being different from the first network location; determine the second network location; and provide the second network location to the computing device; and the computing device stores the electronic health information at the second network location.
-
公开(公告)号：US11666312B2
公开(公告)日：2023-06-06
申请号：US16721898
申请日：2019-12-19
发明人： Kris Dickie , Laurent Pelissier , Reza Zahiri , Simon Dahonick
IPC分类号： A61B8/00
CPC分类号： A61B8/546 , A61B8/4422 , A61B8/465 , A61B8/429 , A61B8/4245
摘要： Ultrasound scanners that are initialized and placed to the side in a sterile bag for use in a sterile environment may suffer overheating and cut out early, because the bag represents a poor cooling environment. The rate of increase in temperature of a scanner is monitored and a determination is made as to whether the scanner is in a regular environment or a poor cooling environment. If the scanner is in a poor cooling environment, the scanner is switched from a regular state of operation to a poor cooling state of operation. In the poor cooling state of operation, the scanner settings consume less power and generate less heat on the whole than the regular scanner settings. The scanner reverts to higher power settings as and when needed to perform the desired scan. The user interface on an associated display device also changes in response to the scanner entering the poor cooling state of operation.
-
公开(公告)号：US20230070062A1
公开(公告)日：2023-03-09
申请号：US17898272
申请日：2022-08-29
发明人： Laurent Pelissier , Kris Dickie , Nishant Uniyal , Jacob Ruben Barrera Loredo , Parisa Asgharzadeh
IPC分类号： G06V10/774 , A61B8/08 , A61B8/00 , G06T7/62 , G01S15/89
摘要： A multi-media product is created from fetal ultrasound images, during scanning of a fetus using an ultrasound scanner, and employs a specifically trained artificial intelligence (AI) model to execute on a computing device communicably connected to an ultrasound scanner, wherein the AI model is trained so that when the AI model is deployed, the computing device identifies and selects one or more fetal anatomical features, in whole or part, imaged in fetal ultrasound imaging data generated during ultrasound scanning as part of a clinical exam of the fetus, wherein the selected one or more fetal anatomical features are visually appealing for entertainment and keepsake purposes and are not part of a clinical assessment of the health or growth of the fetus and wherein after acquiring a new fetal ultrasound image during ultrasound scanning, the AI model selects the one or more fetal anatomical features, in whole or part, which are visually appealing for entertainment and keepsake purposes and are not part of a clinical assessment of the health or growth of the fetus and those selected non-clinical images are then used to generate the entertainment focused multi-media product.
-
公开(公告)号：US20220327691A1
公开(公告)日：2022-10-13
申请号：US17225090
申请日：2021-04-07
发明人： Laurent Pelissier , Kris Dickie
摘要： A method and system for assessing medical images for suitability in clinical interpretation is described herein. The method and system involve: acquiring a medical image; inputting the medical image into a machine learning model, wherein the machine learning model is configured to determine a quality value based on the medical image; determining whether the quality value meets a quality threshold associated with a target clinical application; and when the quality value meets the quality threshold associated with the target clinical application, permitting clinical interpretation of the medical image for the target clinical application.
-
公开(公告)号：US20220277175A1
公开(公告)日：2022-09-01
申请号：US17187851
申请日：2021-02-28
发明人： Kris DICKIE , Parisa Asgharzadeh
摘要： Post-scan ultrasound images are masked and labeled with anatomical features identified in the images. Masks corresponding to the features are transformed into the coordinate system of the pre-scan, raw ultrasound data frames corresponding to the images. The masks and their respective raw ultrasound data frames are used to train an artificial intelligence model. The model is then used to predict the presence of anatomical features of the same type in other pre-scan ultrasound data. Once predicted, the raw data is scan converted for display as segmented ultrasound images that identify the predicted anatomical features. Deployment of the model on pre-scan data avoids the need to account for different levels of processing that may be applied to post-scan images, while the labeling for training the model may be done on the post-scan images.
-
-
-
-
-
-
-
-
-
搜索结果
103 条记录 (耗时 0.036 秒)
