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公开(公告)号：US12178641B2
公开(公告)日：2024-12-31
申请号：US17814223
申请日：2022-07-21
Inventor： Shanhui Sun , Ziyan Wu , Xiao Chen , Zhang Chen , Yikang Liu , Arun Innanje , Terrence Chen
Abstract: The present disclosure provides a system and method for fetus monitoring. The method may include obtaining ultrasound data relating to a fetus collected by an ultrasound imaging device; generating a 4D image of the fetus based on the ultrasound data; directing a display component of a virtual reality (VR) device to display the 4D image to an operator; detecting motion of the fetus based on the ultrasound data; and directing a haptic component of the VR device to provide haptic feedback with respect to the motion to the operator.
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公开(公告)号：US20240341903A1
公开(公告)日：2024-10-17
申请号：US18134234
申请日：2023-04-13
Inventor： Abhishek Sharma , Arun Innanje , Terrence Chen
CPC classification number: A61B90/36 , A61B34/10 , A61B2034/105 , A61B2090/365
Abstract: An object or person in a medical environment may be identified based on images of the medical environment. The identification may include determining an identifier associated with the object or the person, a position of the object or the person in the medical environment, and a three-dimensional (3D) shape/pose of the object or the person. Representation information that indicates at least the determined identifier, position in the medical environment, and 3D shape/pose of the object or the person may be generated and then used (e.g., by a visualization device) together with one or more predetermined 3D models to determine a 3D model for the object or the person identified in the medical environment and generate a visual depiction of at least the object or the person in the medical environment based on the determined 3D model and the position of the object or the person in the medical environment.
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公开(公告)号：US20240296552A1
公开(公告)日：2024-09-05
申请号：US18117068
申请日：2023-03-03
Inventor： Xiao Chen , Shanhui Sun , Zhang Chen , Yikang Liu , Arun Innanje , Terrence Chen
CPC classification number: G06T7/0012 , G06T7/10 , G16H30/40 , G06T2207/30048
Abstract: Disclosed herein are systems, methods, and instrumentalities associated with cardiac motion tracking and/or analysis. In accordance with embodiments of the disclosure, the motion of a heart such as an anatomical component of the heart may be tracked through multiple medical images and a contour of the anatomical component may be outlined in the medical images and presented to a user. The user may adjust the contour in one or more of the medical images and the adjustment may trigger modifications of motion field(s) associated with the one or more medical images, re-tracking of the contour in the one or more medical images, and/or re-determination of a physiological characteristic (e.g., a myocardial strain) of the heart. The adjustment may be made selectively, for example, to a specific medical image or one or more additional medical images selected by the user, without triggering a modification of all of the medical images.
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公开(公告)号：US12045695B2
公开(公告)日：2024-07-23
申请号：US16804907
申请日：2020-02-28
Inventor： Srikrishna Karanam , Ziyan Wu , Abhishek Sharma , Arun Innanje , Terrence Chen
Abstract: Data samples are transmitted from a central server to at least one local server apparatus. The central server receives a set of predictions from the at least one local server apparatus that are based on the transmitted set of data samples. The central server trains a central model based on the received set of predictions. The central model, or a portion of the central model corresponding to a task of interest, can then be sent to the at least one local server apparatus. Neither local data from local sites nor trained models from the local sites are transmitted to the central server. This ensures protection and security of data at the local sites.
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公开(公告)号：US20240135737A1
公开(公告)日：2024-04-25
申请号：US18128290
申请日：2023-03-29
Inventor： Meng Zheng , Wenzhe Cui , Ziyan Wu , Arun Innanje , Benjamin Planche , Terrence Chen
CPC classification number: G06V20/70 , G06V10/235
Abstract: Described herein are systems, methods, and instrumentalities associated with automatically annotating a 3D image dataset. The 3D automatic annotation may be accomplished based on a 2D manual annotation provided by an annotator and by propagating, using a set of machine-learning (ML) based techniques, the 2D manual annotation through sequences of 2D images associated with the 3D image dataset. The automatically annotated 3D image dataset may then be used to annotate other 3D image datasets upon passing a readiness assessment conducted using another set of ML based techniques. The automatic annotation of the images may be performed progressively, e.g., by processing a subset or batch of images at a time, and the ML based techniques may be trained to ensure consistency between a forward propagation and a backward propagation.
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Patent Agency Ranking
公开(公告)号：US20240135684A1
公开(公告)日：2024-04-25
申请号：US17969876
申请日：2022-10-19
Inventor： Meng Zheng , Srikrishna Karanam , Ziyan Wu , Arun Innanje , Terrence Chen
IPC: G06V10/774 , G06T7/00
CPC classification number: G06V10/774 , G06T7/0012 , G06T2207/20081 , G06T2207/20108
Abstract: Described herein are systems, methods, and instrumentalities associated with automatically annotating a 3D image dataset. The 3D automatic annotation may be accomplished based on a 2D annotation provided by an annotator and by propagating the 2D annotation through multiple images of a sequence of 2D images associated with the 3D image dataset. The automatically annotated 3D image dataset may then be used to annotate other 3D image datasets based on similarities between the first 3D image dataset and the other 3D image datasets. The automatic annotation of the first 3D image dataset and/or the other 3D image datasets may be conducted based on one or more machine-learning models trained for performing those tasks.
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公开(公告)号：US20240104721A1
公开(公告)日：2024-03-28
申请号：US17953484
申请日：2022-09-27
Inventor： Arun Innanje , Xiao Chen , Shanhui Sun , Zhanhong Wei , Terrence Chen
IPC: G06T7/00
CPC classification number: G06T7/0012 , G06T2207/10088 , G06T2207/30048
Abstract: An anatomy-aware contouring editing method includes receiving an image, wherein the image represents an anatomically recognizable structure; identifying a first image segment representing part of the anatomically recognizable structure; annotating the first image segment to generate a label of the part; drawing a contour along a boundary of the part; receiving a first input from a user device indicative of a region of contour failure, wherein the region of contour failure includes a portion of a contour that requires editing; editing the contour for generating an edited contour based on the first input and anatomical information; and updating another contour of another part of the anatomically recognizable structure based on the edited contour, wherein the another part is anatomically related to the part.
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38.发明公开公开(公告)号：US20240077562A1
公开(公告)日：2024-03-07
申请号：US17939251
申请日：2022-09-07
Inventor： Abhishek Sharma , Arun Innanje , Ziyan Wu , Terrence Chen
CPC classification number: G01R33/5608 , A61B5/055 , A61N5/1049 , A61N2005/1055
Abstract: A power management apparatus for a workflow to enable low power MR patient positioning on edge devices is disclosed. The power management apparatus changes an operational mode of an edge device from a first power mode to a second power mode after a defined time-interval. The power management apparatus further controls the edge device to capture a first image of a first scene. The power management apparatus further determines a trigger point based on a detection of a plurality of objects in the captured first image. The power management apparatus further changes the operational mode of the edge device from the second power mode to a third power mode to control a consumption of electric power while a set of operations is executed at the edge device. The operational mode of the edge device may be changed at the determined trigger point.
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公开(公告)号：US11756240B2
公开(公告)日：2023-09-12
申请号：US16804985
申请日：2020-02-28
Inventor： Arun Innanje , Shanhui Sun , Abhishek Sharma , Zhang Chen , Ziyan Wu
CPC classification number: G06T11/005 , G06T1/20 , G06T19/20 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/30004
Abstract: A standalone image reconstruction device is configured to reconstruct the raw signals received from a radiology scanner device into a reconstructed output signal. The image reconstruction device is a vendor neutral interface between the radiology scanner device and the post processing imaging device. The reconstructed output signal is a user readable domain that can be used to generate a medical image or a three-dimensional (3D) volume. The apparatus is configured to reconstruct signals from different types of radiology scanner devices using any suitable image reconstruction protocol.
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公开(公告)号：US11604984B2
公开(公告)日：2023-03-14
申请号：US16686539
申请日：2019-11-18
Inventor： Abhishek Sharma , Arun Innanje , Ziyan Wu , Shanhui Sun , Terrence Chen
Abstract: A system comprising a first computing apparatus in communication with multiple second computing apparatuses. The first computing apparatus may obtain a plurality of first trained machine learning models for a task from the multiple second computing apparatuses. At least a portion of parameter values of the plurality of first trained machine learning models may be different from each other. The first computing apparatus may also obtain a plurality of training samples. The first computing apparatus may further determine, based on the plurality of training samples, a second trained machine learning model by learning from the plurality of first trained machine learning models.
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