-
公开(公告)号：US12141420B2
公开(公告)日：2024-11-12
申请号：US17960367
申请日：2022-10-05
Inventor： Arun Innanje , Zheng Peng , Ziyan Wu , Qin Liu , Terrence Chen
IPC: G06T7/12 , G06F3/04842 , G06T11/00
Abstract: Click based contour editing includes detecting a selection input with respect to an image presented on a graphical user interface; designating an area of the image corresponding to the selection input as a region of interest; detecting at least one other selection input on the graphical user interface with respect to the image; determining if the at least one other selection input is within the region of interest or outside of the region of interest; and if the at least one other selection input is within the region of interest, excluding the portion of the image corresponding to the other input; or if the other selection input is outside of the region of interest, including the portion of the image corresponding to an area of the image associated with the other selection input.
-
公开(公告)号：US12138015B2
公开(公告)日：2024-11-12
申请号：US17737694
申请日：2022-05-05
Inventor： Ziyan Wu , Srikrishna Karanam , Arun Innanje , Shanhui Sun , Abhishek Sharma , Yimo Guo , Zhang Chen
IPC: G06T7/00 , A61B5/00 , G06F18/21 , G06F18/214 , G06T7/50 , G06T7/70 , G06T7/90 , G06T17/00 , G06T17/20 , G06V10/40 , G06V10/42 , G06V10/764 , G06V10/774 , G06V10/778 , G06V10/82 , G06V20/62 , G06V20/64 , G06V40/10 , G06V40/20 , G16H10/60 , G16H30/20 , G16H30/40
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：US20240233419A9
公开(公告)日：2024-07-11
申请号：US18128290
申请日：2023-03-30
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.
-
公开(公告)号：US11811729B1
公开(公告)日：2023-11-07
申请号：US17889480
申请日：2022-08-17
Inventor： Abhishek Sharma , Arun Innanje , Ziyan Wu , Terrence Chen
IPC: G06F15/16 , H04L61/5046 , H04L61/5038 , H04L61/5014
CPC classification number: H04L61/5046 , H04L61/5014 , H04L61/5038
Abstract: Disclosed is a system and a method for configuring an IP device to be discoverable to a client device over a local network having a DHCP server for assigning dynamic IP addresses. The method includes obtaining a dynamic IP address assigned to the IP device upon completion of boot process for the IP device; checking if a static IP address has been set for the IP device; determining if the dynamic IP address and the static IP address are in a same subnet of the local network; implementing the static IP address set for the IP device, if the dynamic IP address and the static IP address are in the same subnet of the local network; and implementing the dynamic IP address assigned to the IP device, if the dynamic IP address and the static IP address are not in the same subnet of the local network.
-
公开(公告)号：US20210121244A1
公开(公告)日：2021-04-29
申请号：US16665804
申请日：2019-10-28
Inventor： Arun Innanje , Ziyan Wu , Srikrishna Karanam
Abstract: Methods and systems for locating one or more target features of a patient. For example, a computer-implemented method includes receiving a first input image; receiving a second input image; generating a first patient representation corresponding to the first input image; generating a second patient representation corresponding to the second input image; determining one or more first features corresponding to the first patient representation in a feature space; determining one or more second features corresponding to the second patient representation in the feature space; joining the one or more first features and the one or more second features into one or more joined features; determining one or more landmarks based at least in part on the one or more joined features; and providing a visual guidance for a medical procedure based at least in part on the information associated with the one or more landmarks.
-
Patent Agency Ranking
公开(公告)号：US20250111517A1
公开(公告)日：2025-04-03
申请号：US18374473
申请日：2023-09-28
Inventor： Wenzhe Cui , Meng Zheng , Arun Innanje , Ziyan Wu , Terrence Chen
Abstract: An apparatus for annotating a medical image may be configured to obtain, automatically, an outline of a region of interest (ROI) in the medical image and determine, based on one or more inner control points and one or more outer control points. The one or more inner control points may be located within the ROI and the one or more outer control points may be located outside of the ROI. The outline may be subsequently adjusted based on a user input and the adjusted outline may be used to generate a segmentation of the ROI.
-
公开(公告)号：US20250029720A1
公开(公告)日：2025-01-23
申请号：US18225009
申请日：2023-07-21
Inventor： Shanhui Sun , Zhang Chen , Xiao Chen , Yikang Liu , Lin Zhao , Terrence Chen , Arun Innanje , Abhishek Sharma , Wenzhe Cui , Xiao Fan
Abstract: Disclosed herein are deep-learning based systems, methods, and instrumentalities for medical decision-making. A system as described herein may implement an artificial neural network (ANN) that may include multiple encoder neural networks and a decoder neural network. The multiple encoder neural networks may be configured to receive multiple types of patient data (e.g., text and image based patient data) and generate respective encoded representations of the patient data. The decoder neural network (e.g., a transformer decoder) may be configured to receive the encoded representations and generate a medical decision, a medical summary, or a medical questionnaire based on the encoded representations. In examples, the decoder neural network may be configured to implement a large language model (LLM) that may be pre-trained for performing the aforementioned tasks.
-
公开(公告)号：US20240144469A1
公开(公告)日：2024-05-02
申请号：US17973982
申请日：2022-10-26
Inventor： Xiao Chen , Shanhui Sun , Terrence Chen , Arun Innanje
IPC: G06T7/00 , G06T7/11 , G06T7/30 , G06V10/764
CPC classification number: G06T7/0012 , G06T7/11 , G06T7/30 , G06V10/764 , G06T2207/10088 , G06T2207/30048
Abstract: Cardiac images such as cardiac magnetic resonance (CMR) images and tissue characterization maps (e.g., T1/T2 maps) may be analyzed automatically using machine learning (ML) techniques, and reports may be generated to summarize the analysis. The ML techniques may include training one or more of an image classification model, a heart segmentation model, or a cardiac pathology detection model to automate the image analysis and/or reporting process. The image classification model may be capable of grouping the cardiac images into different categories, the heart segmentation model may be capable of delineating different anatomical regions of the heart, and the pathology detection model may be capable of detecting a medical abnormality in one or more of the anatomical regions based on tissue patterns or parameters automatically recognized by the detection model. Image registration that compensates for the impact of motions or movements may also be conducted automatically using ML techniques.
-
公开(公告)号：US11967102B2
公开(公告)日：2024-04-23
申请号：US17378495
申请日：2021-07-16
Inventor： Abhishek Sharma , Arun Innanje , Ziyan Wu
CPC classification number: G06T7/73 , G06N3/045 , G06T7/0012 , G06V40/103 , G06T2207/10024 , G06T2207/10028 , G06T2207/10048 , G06T2207/20081 , G06T2207/20084 , G06T2207/30196
Abstract: Image-based key points detection using a convolutional neural network (CNN) may be impacted if the key points are occluded in the image. Images obtained from additional imaging modalities such as depth and/or thermal images may be used in conjunction with RGB images to reduce or minimize the impact of the occlusion. The additional images may be used to determine adjustment values that are then applied to the weights of the CNN so that the convolution operations may be performed in a modality aware manner to increase the robustness, accuracy, and efficiency of key point detection.
-
公开(公告)号：US11836946B2
公开(公告)日：2023-12-05
申请号：US17569852
申请日：2022-01-06
Inventor： Ziyan Wu , Shanhui Sun , Arun Innanje
CPC classification number: G06T7/75 , G06T7/0012 , G06T7/136 , G16H40/67 , G16H70/00 , G06T2207/10028
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.
-
-
-
-
-
-
-
-
-
Search Results
45
records
(took 0.019 seconds)
