-
公开(公告)号：US11676305B2
公开(公告)日：2023-06-13
申请号：US17934186
申请日：2022-09-21
Inventor： Ziyan Wu , Srikrishna Karanam
Abstract: A method for automated calibration is provided. The method may include obtaining a plurality of interest points based on prior information regarding a device and image data of the device captured by a visual sensor. The method may include identifying at least a portion of the plurality of interest points from the image data of the device. The method may also include determining a transformation relationship between a first coordinate system and a second coordinate system based on information of at least a portion of the identified interest points in the first coordinate system and in the second coordinate system that is applied to the visual sensor or the image data of the device.
-
公开(公告)号：US11625576B2
公开(公告)日：2023-04-11
申请号：US16685802
申请日：2019-11-15
Inventor： Ziyan Wu , Srikrishna Karanam , Arun Innanje
Abstract: A method for image processing may include: obtaining an original image of a first style, the original image being generated by a first imaging device; obtaining a target transformation model; and generating a transferred image of a second style by transferring the first style of the original image using the target transformation model. The second style may be substantially similar to a target style of one or more other images generated by a second imaging device. The second style may be different from the first style.
-
公开(公告)号：US11557391B2
公开(公告)日：2023-01-17
申请号：US16995446
申请日：2020-08-17
Inventor： Ziyan Wu , Srikrishna Karanam , Changjiang Cai , Georgios Georgakis
IPC: G06K9/62 , G16H30/40 , G06T7/00 , G06T7/90 , G06T17/00 , G06T7/50 , G06T7/70 , G06T17/20 , G16H10/60 , G16H30/20 , A61B5/00 , G06V10/40 , G06V10/42 , G06V20/64 , G06V40/10 , G06V40/20 , G06V20/62
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：US11540801B2
公开(公告)日：2023-01-03
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.
-
公开(公告)号：US11288841B2
公开(公告)日：2022-03-29
申请号：US16656511
申请日：2019-10-17
Inventor： Ziyan Wu , Srikrishna Karanam
IPC: G06T7/73
Abstract: A system for patient positioning is provided. The system may acquire image data relating to a patient holding a posture and a plurality of patient models. Each patient model may represent a reference patient holding a reference posture, and include at least one reference interest point of the referent patient and a reference representation of the reference posture. The system may also identify at least one interest point of the patient from the image data using an interest point detection model. The system may further determine a representation of the posture of the patient based on a comparison between the at least one interest point of the patient and the at least one reference interest point in each of the plurality of patient models.
-
Patent Agency Ranking
公开(公告)号：US11257586B2
公开(公告)日：2022-02-22
申请号：US16863382
申请日：2020-04-30
Inventor： Srikrishna Karanam , Ziyan Wu , Georgios Georgakis
IPC: G06K9/00 , G16H30/40 , G06T7/00 , G06T7/90 , G06T17/00 , G06K9/46 , G06T7/50 , G06T7/70 , G06K9/62 , G06T17/20 , G16H10/60 , G16H30/20 , A61B5/00 , G06K9/52
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.
-
公开(公告)号：US11244446B2
公开(公告)日：2022-02-08
申请号：US16664690
申请日：2019-10-25
Inventor： Ziyan Wu , Shanhui Sun , Arun Innanje
Abstract: The present disclosure relates to systems and methods for imaging. The method may include obtaining a real-time representation of a subject. The method may also include determining at least one scanning parameter associated with the subject by automatically processing the representation according to a parameter obtaining model. The method may further include performing a scan on the subject based at least in part on the at least one scanning parameter.
-
公开(公告)号：US20210386391A1
公开(公告)日：2021-12-16
申请号：US16902760
申请日：2020-06-16
Inventor： Srikrishna Karanam , Ziyan Wu , Terrence Chen
Abstract: An apparatus is configured to receive input image data corresponding to output image data of a first radiology scanner device, translate the input image data into a format corresponding to output image data of a second radiology scanner device and generate an output image corresponding to the translated input image data on a post processing imaging device associated with the first radiology scanner device. Medical images from a new scanner can be translate to look as if they came from a scanner of another vendor.
-
公开(公告)号：US20210158937A1
公开(公告)日：2021-05-27
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
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.
-
公开(公告)号：US20210158028A1
公开(公告)日：2021-05-27
申请号：US16995446
申请日：2020-08-17
Inventor： Ziyan Wu , Srikrishna Karanam , Changjiang Cai , Georgios Georgakis
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.
-
-
-
-
-
-
-
-
-
Search Results
101
records
(took 0.029 seconds)
