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公开(公告)号：US11335456B2
公开(公告)日：2022-05-17
申请号：US16860901
申请日：2020-04-28
Inventor： Ziyan Wu , Srikrishna Karanam , Arun Innanje , Shanhui Sun , Abhishek Sharma , Yimo Guo , Zhang Chen
IPC: G16H30/40 , A61B5/00 , G06K9/62 , G06T7/00 , G06T7/50 , G06T7/70 , G06T17/00 , G06V10/40 , G06T7/90 , G06T17/20 , G16H10/60 , G16H30/20 , G06V10/42 , G06V20/64 , G06V40/10 , G06V40/20
Abstract: A medical system may utilize a modular and extensible sensing device to derive a two-dimensional (2D) or three-dimensional (3D) human model for a patient in real-time based on images of the patient captured by a sensor such as a digital camera. The 2D or 3D human model may be visually presented on one or more devices of the medical system and used to facilitate a healthcare service provided to the patient. In examples, the 2D or 3D human model may be used to improve the speed, accuracy and consistency of patient positioning for a medical procedure. In examples, the 2D or 3D human model may be used to enable unified analysis of the patient's medical conditions by linking different scan images of the patient through the 2D or 3D human model. In examples, the 2D or 3D human model may be used to facilitate surgical navigation, patient monitoring, process automation, and/or the like.
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公开(公告)号：US20220125400A1
公开(公告)日：2022-04-28
申请号：US17081381
申请日：2020-10-27
Inventor： Ziyan Wu , Srikrishna Karanam , Meng Zheng , Abhishek Sharma , Ren Li
Abstract: Systems, methods and instrumentalities are described herein for automating a medical environment. The automation may be realized using one or more sensing devices and at least one processing device. The sensing devices may be configured to capture images of the medical environment and provide the images to the processing device. The processing device may determine characteristics of the medical environment based on the images and automate one or more aspects of the operations in the medical environment. These characteristics may include, e.g., people and/or objects present in the images and respective locations of the people and/or objects in the medical environment. The operations that may be automated may include, e.g., maneuvering and/or positioning a medical device based on the location of a patient, determining and/or adjusting the parameters of a medical device, managing a workflow, providing instructions and/or alerts to a patient or a physician, etc.
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公开(公告)号：US11282218B2
公开(公告)日：2022-03-22
申请号：US16694456
申请日：2019-11-25
Inventor： Srikrishna Karanam , Ziyan Wu
Abstract: Methods and systems for using a patient representation model including a feature extraction model and a parameter determining model. For example, a computer-implemented method includes receiving, by a first feature extraction model, a depth image; generating, by the first feature extraction model, a first feature vector corresponding to the depth image; determining, by a parameter determining model, a plurality of three-dimensional model parameters based at least in part on the first feature vector; receiving a ground truth; determining a deviation between the ground truth and information associated with the plurality of three-dimensional model parameters; changing, based at least in part on the deviation, one or more parameters of the patient representation model; receiving a first patient image; determining a plurality of three-dimensional patient parameters based at least in part on the first patient image; and providing the plurality of three-dimensional patient parameters as medical guidance.
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公开(公告)号：US11257251B2
公开(公告)日：2022-02-22
申请号：US16657125
申请日：2019-10-18
Inventor： Ziyan Wu , Shanhui Sun , Arun Innanje
Abstract: Methods and systems for guiding a patient for a medical examination using a medical apparatus. For example, a computer-implemented method for guiding a patient for a medical examination using a medical apparatus includes: receiving an examination protocol for the medical apparatus; determining a reference position based at least in part on the examination protocol; acquiring a patient position; determining a deviation metric based at least in part on comparing the patient position and the reference position; determining whether the deviation metric is greater than a pre-determined deviation threshold; and if the deviation metric is greater than a pre-determined deviation threshold: generating a positioning guidance based at least in part on the determined deviation metric, the positioning guidance including guidance for positioning the patient relative to the medical apparatus.
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公开(公告)号：US20210272332A1
公开(公告)日：2021-09-02
申请号：US16804985
申请日：2020-02-28
Inventor： Arun Innanje , Shanhui Sun , Abhishek Sharma , Zhang Chen , Ziyan Wu
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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Patent Agency Ranking
公开(公告)号：US20210265057A1
公开(公告)日：2021-08-26
申请号：US16798100
申请日：2020-02-21
Inventor： Srikrishna Karanam , Yimo Guo , Ziyan Wu
Abstract: Healthcare services can be automated utilizing a system that recognizes at least one characteristic of a patient based on images of the patient acquired by an image capturing device. Relying on information extracted from these images, the system may automate multiple aspects of a medical procedure such as patient identification and verification, positioning, diagnosis and/or treatment planning using artificial intelligence or machine learning techniques. By automating these operations, healthcare services can be provided remotely and/or with minimum physical contact between the patient and a medical professional.
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公开(公告)号：US20210158107A1
公开(公告)日：2021-05-27
申请号：US16863382
申请日：2020-04-30
Inventor： Srikrishna Karanam , Ziyan Wu , Georgios Georgakis
Abstract: Human mesh model recovery may utilize prior knowledge of the hierarchical structural correlation between different parts of a human body. Such structural correlation may be between a root kinematic chain of the human body and a head or limb kinematic chain of the human body. Shape and/or pose parameters relating to the human mesh model may be determined by first determining the parameters associated with the root kinematic chain and then using those parameters to predict the parameters associated with the head or limb kinematic chain. Such a task can be accomplished using a system comprising one or more processors and one or more storage devices storing instructions that, when executed by the one or more processors, cause the one or more processors to implement one or more neural networks trained to perform functions related to the task.
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公开(公告)号：US12232900B2
公开(公告)日：2025-02-25
申请号：US17560492
申请日：2021-12-23
Inventor： Meng Zheng , Elena Zhao , Srikrishna Karanam , Ziyan Wu , Terrence Chen
Abstract: An automated process for data annotation of medical images includes obtaining image data from an imaging sensor, partitioning the image data, identifying an object of interest in the partitioned image data, generating an initial contour with one or more control points with respect to the object of interest, identifying a manual adjustment of one of the control points, automatically adjust a position of at least one other control point within a predetermined range of the manually adjusted control point to a new position, the new position of the at least one other control point and manually adjusted control point defining a new contour, and generating an updated image with the new contour and corresponding control points.
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公开(公告)号：US20240378731A1
公开(公告)日：2024-11-14
申请号：US18195009
申请日：2023-05-09
Inventor： Zhongpai Gao , Abhishek Sharma , Meng Zheng , Benjamin Planche , Ziyan Wu , Terrence Chen
Abstract: Detecting motions associated with a body part of a patient may include using an image sensor installed inside a medical scanner to capture first and second images of the patient inside the medical scanner, wherein the first image may depict the patient in a first state and the second image may depict the patient in a second state. A first area, in the first image, that corresponds to the body part of the patient may be identified and a second area, in the second image, that corresponds to the body part may also be identified so that a first plurality of features may be extracted from the first area of the first image and a second plurality of features may be extracted from the second area of the second image. A motion associated with the body part of the patient may be determined based on the first and second pluralities of features.
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公开(公告)号：US20240346684A1
公开(公告)日：2024-10-17
申请号：US18133185
申请日：2023-04-11
Inventor： Meng Zheng , Jun Wang , Benjamin Planche , Zhongpai Gao , Ziyan Wu
IPC: G06T7/73
CPC classification number: G06T7/73 , G06T2207/20081 , G06T2207/30196
Abstract: Disclosed herein are systems, methods and instrumentalities associated with multi-person joint location and pose estimation based on an image that depicts multiple people in a scene, where at least some of the joint locations of a person may be blocked or obstructed by other people or objects in the scene. The estimation may be performed by detecting and grouping joint locations in the image using a bottom-up approach, and refining each group of detected joint locations by recovering obstructed joint location(s) that may be missing from the group. The detection, grouping, and/or refinement may be accomplished based on one or more machine learning (ML) models that may be implemented using artificial neural networks such as convolutional neural networks.
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