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公开(公告)号：US20220338816A1
公开(公告)日：2022-10-27
申请号：US17236173
申请日：2021-04-21
Inventor： Xiao Chen , Abhishek Sharma , Terrence Chen , Shanhui Sun
Abstract: A system and method for cardiac function and myocardial strain analysis include techniques and structure for classifying a set of cardiac images according to their views, detecting a heart range and valid short-axis slices in the set of cardiac images, determining heart segment locations, segmenting heart anatomies for each time frame and each slice, calculating volume related parameters, determining key physiological time points, calculating myocardium transmural thickness and deriving a cardiac function measure from the myocardium transmural thickness at the key physiological time points, estimating a dense motion field from the key physiological time points as applied to the set of cardiac images, calculating myocardial strain along different myocardium directions from the dense motion field, and providing the cardiac function measure and myocardial strain calculation to a user through a user interface.
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公开(公告)号：US11348230B2
公开(公告)日：2022-05-31
申请号：US16664710
申请日：2019-10-25
Inventor： Shanhui Sun , Zhang Chen , Terrence Chen
Abstract: Systems and methods for generating and tracking shapes of a target may be provided. The method may include obtaining at least one first resolution image corresponding to at least one of a sequence of time frames of a medical scan. The method may include determining, according to a predictive model, one or more shape parameters regarding a shape of a target from the at least one first resolution image. The method may include determining, based on the one or more shape parameters and a shape model, at least one shape of the target from the at least one first resolution image. The method may further include generating a second resolution visual representation of the target by rendering the determined shape of the target.
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公开(公告)号：US11334995B2
公开(公告)日：2022-05-17
申请号：US17014594
申请日：2020-09-08
Inventor： Yimo Guo , Shanhui Sun , Terrence Chen
IPC: G06T7/00 , G06T7/11 , G06K9/62 , G06N3/04 , G16H50/50 , G16H50/30 , G16H30/40 , G06F3/0485 , G06T11/20 , G06T13/80 , G06T19/00 , G06T7/55 , G06T7/73 , G06T7/246 , A61B5/00 , A61B5/11 , G06T3/00 , G06N3/08
Abstract: Described herein are systems, methods and instrumentalities associated with image segmentation. The systems, methods and instrumentalities have a hierarchical structure for producing a coarse segmentation of an anatomical structure and then refining the coarse segmentation based on a shape prior of the anatomical structure. The coarse segmentation may be generated using a multi-task neural network and based on both a segmentation loss and a regression loss. The refined segmentation may be obtained by deforming the shape prior using one or more of a shape-based model or a learning-based model.
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公开(公告)号：US11315246B2
公开(公告)日：2022-04-26
申请号：US17014609
申请日：2020-09-08
Inventor： Arun Innanje , Xiao Chen , Shanhui Sun , Terrence Chen
IPC: G06T7/12 , G06T7/00 , G06T7/11 , G06K9/62 , G06N3/04 , G16H50/50 , G16H50/30 , G16H30/40 , G06F3/0485 , G06T11/20 , G06T13/80 , G06T19/00 , G06T7/55 , G06T7/73 , G06T7/246 , A61B5/00 , A61B5/11 , G06T3/00 , G06N3/08
Abstract: Cardiac features captured via an MRI scan may be tracked and analyzed using a system described herein. The system may receive a plurality of MR slices derived via the MRI scan and present the MR slices in a manner that allows a user to navigate through the MR slices. Responsive to the user selecting one of the MR slices, contextual and global cardiac information associated with the selected slice may be determined and displayed. The contextual information may correspond to the selected slice and the global information may encompass information gathered across the plurality of MR slices. A user may have the ability to navigate between the different display areas and evaluate the health of the heart with both local and global perspectives.
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公开(公告)号：US20220026514A1
公开(公告)日：2022-01-27
申请号：US16936571
申请日：2020-07-23
Inventor： Zhang Chen , Shanhui Sun , Xiao Chen , Terrence Chen
Abstract: An apparatus for magnetic resonance imaging (MRI) image reconstruction is provided. The apparatus accesses a training set of MRI data for training. The training set can include paired fully sampled data or unpaired fully sampled data. Undersampled MRI data is optimized in an MRI data optimization module to generate reconstructed MRI data. The apparatus builds a discriminative model using the training set and the reconstructed MRI data. During inference, the parameters of the discriminator model are fixed and the discriminator model is used to classify an output of the MRI data optimization model as the reconstructed MRI image.
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Patent Agency Ranking
公开(公告)号：US20210161422A1
公开(公告)日：2021-06-03
申请号：US17060860
申请日：2020-10-01
Inventor： Xiao Chen , Shanhui Sun , Zhang Chen , Terrence Chen
IPC: A61B5/055 , A61B5/00 , G06N3/08 , G01R33/561
Abstract: A method includes acquiring initial scout images of a patient's heart, using a neural network to establish a patient specific heart model, and automatically plan imaging planes of the patient specific heart model, performing an accelerated scan of the patient's heart, using the neural network to determine a current location and pose of the patient's heart from the accelerated scan, and to reposition the imaging planes to correspond to the current location and pose of the patient's heart, and using the repositioned imaging planes to perform an acquisition scan and generate an image of the patient's heart from the acquisition scan according to a selected imaging protocol.
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公开(公告)号：US20210158510A1
公开(公告)日：2021-05-27
申请号：US17014573
申请日：2020-09-08
Inventor： Qiaoying Huang , Shanhui Sun , Zhang Chen , Terrence Chen
Abstract: Described herein are neural network-based systems, methods and instrumentalities associated with estimating a thickness of an anatomical structure based on a visual representation of the anatomical structure and a machine-learned thickness prediction model. The visual representation may include an image or a segmentation mask of the anatomical structure. The thickness prediction model may be learned based on ground truth information derived by applying a partial differential equation such as Laplace's equation to the visual representation and solving the partial differential equation. When the visual representation includes an image of the anatomical structure, the systems, methods and instrumentalities described herein may also be capable of generating a segmentation mask of the anatomical structure based on the image.
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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：US12190508B2
公开(公告)日：2025-01-07
申请号：US17726383
申请日：2022-04-21
Inventor： Yikang Liu , Shanhui Sun , Terrence Chen , Zhang Chen , Xiao Chen
Abstract: Described herein are systems, methods, and instrumentalities associated with medical image enhancement. The medical image may include an object of interest and the techniques disclosed herein may be used to identify the object and enhance a contrast between the object and its surrounding area by adjusting at least the pixels associated with the object. The object identification may be performed using an image filter, a segmentation mask, and/or a deep neural network trained to separate the medical image into multiple layers that respectively include the object of interest and the surrounding area. Once identified, the pixels of the object may be manipulated in various ways to increase the visibility of the object. These may include, for example, adding a constant value to the pixels of the object, applying a sharpening filter to those pixels, increasing the weight of those pixels, and/or smoothing the edge areas surrounding the object of interest.
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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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