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公开(公告)号：US11948250B2
公开(公告)日：2024-04-02
申请号：US17513534
申请日：2021-10-28
发明人： Srikrishna Karanam , Meng Zheng , Ziyan Wu
CPC分类号： G06T17/20 , A61B34/10 , A61B90/361 , G06T7/70 , A61B2034/105 , A61B2034/107 , A61B2090/367 , G06T2207/30196
摘要： Systems, methods, and instrumentalities are described herein for constructing a multi-view patient model (e.g., a 3D human mesh model) based on multiple single-view models of the patient. Each of the single-view models may be generated based on images captured by a sensing device and, dependent on the field of the view of the sensing device, may depict some keypoints of the patient's body with a higher accuracy and other keypoints of the patient's body with a lower accuracy. The multi-view patient model may be constructed using respective portions of the single-view models that correspond to accurately depicted keypoints. This way, a comprehensive and accurate depiction of the patient's body shape and pose may be obtained via the multi-view model even if some keypoints of the patient's body are blocked from a specific sensing device.
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公开(公告)号：US11941732B2
公开(公告)日：2024-03-26
申请号：US17513320
申请日：2021-10-28
发明人： Xiao Chen , Zhang Chen , Shanhui Sun , Terrence Chen
CPC分类号： G06T11/008 , A61B5/055 , A61B5/7267 , G06T7/0012 , G06T2207/10088 , G06T2207/20081 , G06T2207/20084 , G06T2207/30016 , G06T2207/30048
摘要： Disclosed herein are systems, methods, and instrumentalities associated with reconstructing magnetic resonance (MR) images based on multi-slice, under-sampled MRI data (e.g., k-space data). The multi-slice MRI data may be acquired using a simultaneous multi-slice (SMS) technique and MRI information associated with multiple MRI slices may be entangled in the multi-slice MRI data. A neural network may be trained and used to disentangle the MRI information and reconstruct MRI images for the different slices. A data consistency component may be used to estimate k-space data based on estimates made by the neural network, from which respective MRI images associated with multiple MRI slices may be obtained by applying a Fourier transform to the k-space data.
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公开(公告)号：US20240074811A1
公开(公告)日：2024-03-07
申请号：US17930058
申请日：2022-09-06
发明人： Ziyan WU , Benjamin PLANCHE , Meng ZHENG , Arun INNANJE , Terrence CHEN
CPC分类号： A61B34/10 , A61B90/361 , G06T7/337 , G06T7/70 , G06T11/00 , A61B2034/105 , A61B2034/107 , A61B2090/373 , G06T2207/20212 , G06T2207/30004 , G06T2207/30201 , G06T2210/41
摘要： A system and method for visualizing anatomical structure of a patient during a surgery are provided. An anatomical image and a first optical image of a patient may be obtained. The anatomical image may be captured by performing a medical scan on the patient before a surgery of the patient, and the first optical image may be captured during the surgery. A target image may be generated by combining the anatomical image and the first optical image. The target image may be rendered based on a viewpoint of a target operator of the surgery. A display device may be directed to display the rendered target image.
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公开(公告)号：US20240065799A1
公开(公告)日：2024-02-29
申请号：US17823953
申请日：2022-08-31
发明人： Terrence CHEN , Ziyan WU , Shanhui SUN , Arun INNANJE , Benjamin PLANCHE , Abhishek SHARMA , Meng ZHENG
CPC分类号： A61B90/36 , G06T7/0012 , G06T7/30 , G06T7/50 , G06T7/70 , A61B2090/366 , G06T2207/30004
摘要： The present disclosure provides systems and methods for medical assistant. The systems may obtain position information of a target inside a subject during an operation. The systems may also determine depth information of the target with respect to an operational region of the subject based on the position information. The systems may further direct an optical projection device to project an optical signal representing the depth information on a surface of the subject.
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公开(公告)号：US20240062857A1
公开(公告)日：2024-02-22
申请号：US17891625
申请日：2022-08-19
发明人： Benjamin Planche , Ziyan Wu , Meng Zheng
摘要： A two-dimensional (2D) or three-dimensional (3D) representation of a patient may be provided (e.g., as part of a user interface) to enable interactive viewing of the patient's medical records. A user may select one or more areas of the patient representation. In response to the selection, at least one anatomical structure of the patient that corresponds to the selected areas may be identified based on the user selection. Medical records associated with the at least one anatomical structure of the patient may be determined based on one or more machine-learning models trained for detecting textual or graphical information associated with the at least one anatomical structure in the one or more medical records. The one or more medical records may then be presented, e.g., together with the 2D or 3D representation of the patient.
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公开(公告)号：US20240061951A1
公开(公告)日：2024-02-22
申请号：US17891307
申请日：2022-08-19
发明人： Arun Innanje , Abhishek Sharma , Benjamin Planche , Meng Zheng , Shanhui Sun , Ziyan Wu , Terrence Chen
CPC分类号： G06F21/6245 , H04L9/50 , H04L9/32 , G16H10/60 , G16H50/20 , G06F2221/2141
摘要： A method and a system for managing healthcare records of a user are provided. The method includes storing an electronic medical record related to the user in form of a non-fungible token (NFT) written to a blockchain, associating a smart contract to the NFT in the blockchain, authorizing a request to access the electronic medical record related to the user based on the defined ownership of the electronic medical record stored in the blockchain, identifying one or more NFTs from the blockchain comprising one or more electronic medical records related to the user based on processing of the identifier information in associated one or more smart contracts therewith, in response to the request, and sending the one or more electronic medical records corresponding to the identified one or more NFTs to a requestor associated with the request.
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公开(公告)号：US11896408B2
公开(公告)日：2024-02-13
申请号：US17525488
申请日：2021-11-12
发明人： Meng Zheng , Abhishek Sharma , Srikrishna Karanam , Ziyan Wu
CPC分类号： A61B6/0407 , G06F18/24 , G06N20/20 , G06T7/70 , G06T2207/20084
摘要： Automated patient positioning and modelling includes a hardware processor to obtain image data from an imaging sensor, classify the image data, using a first machine learning model, as a patient pose based on one or more pre-defined protocols for patient positioning, provide a confidence score based on the classification of the image data and if the confidence score is less than a pre-determined value, re-classify the image data using a second machine learning model; or if the confidence score is greater than a pre-determined value, identify the image data as corresponding to a patient pose based on one or more pre-defined protocols for patient positioning during a scan procedure.
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公开(公告)号：US20230414132A1
公开(公告)日：2023-12-28
申请号：US17849109
申请日：2022-06-24
发明人： Abhishek Sharma , Arun Innanje , Benjamin Planche , Meng Zheng , Shanhui Sun , Ziyan Wu , Terrence Chen
CPC分类号： A61B5/1124 , A61B5/1113 , A61B5/749 , A61B5/7267 , A61B5/4848 , G09B19/003 , A61B2505/09 , G06F3/011
摘要： A system for providing rehabilitation in a virtual environment includes an extended reality (XR) headset to present a first rehabilitation therapy to a patient in a virtual environment. A sensing device is configured to track physical movements of the patient and a processor is configured to receive the sensing data to determine pose information. The processor is configured to determine a performance metric associated with the physical movements and compare the performance metric with a reference metric to determine whether the patient has successfully performed the defined physical movements. The processor is configured to change the first rehabilitation therapy to a second rehabilitation therapy based on a difference between the performance metric and the reference metric upon determining that the patient has unsuccessfully performed the defined physical movements. The system aids the patient by changing the rehabilitation therapies according to the performance of the patient.
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公开(公告)号：US20230343438A1
公开(公告)日：2023-10-26
申请号：US17726369
申请日：2022-04-21
发明人： Meng Zheng , Qin Liu , Srikrishna Karanam , Ziyan Wu
IPC分类号： G16H30/40 , G06N3/04 , G06F40/169
CPC分类号： G16H30/40 , G06N3/04 , G06F40/169
摘要： Described herein are systems, methods, and instrumentalities associated with automatic image annotation. The annotation may be performed based on one or more manually annotated first images of an object and a machine-learned (ML) model trained to extract first features from the one or more first images. To automatically annotate a second, un-annotated image of the object, the ML model may be used to extract second features from the second image, determine information that may be indicative of the characteristics of the object in the second image based on the first and second features, and generate an annotation of the object for the second image using the determined information. The images may be obtained from various sources including, for example, sensors and/or medical scanners, and the object of interest may include anatomical structures such as organs, tumors, etc. The annotated images may be used for multiple purposes including machine learning.
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公开(公告)号：US20230326043A1
公开(公告)日：2023-10-12
申请号：US18333503
申请日：2023-06-12
发明人： Shanhui SUN , Zhang CHEN , Terrence CHEN , Ziyan WU
CPC分类号： G06T7/251 , G06T7/248 , G06T7/0014 , G06T2207/20081
摘要： A system for physiological motion measurement is provided. The system may acquire a reference image corresponding to a reference motion phase of an ROI and a target image of the ROI corresponding to a target motion phase, wherein the reference motion phase may be different from the target motion phase. The system may identify one or more feature points relating to the ROI from the reference image, and determine a motion field of the feature points from the reference motion phase to the target motion phase using a motion prediction model. An input of the motion prediction model may include at least the reference image and the target image. The system may further determine a physiological condition of the ROI based on the motion field.
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