-
公开(公告)号：US12106478B2
公开(公告)日：2024-10-01
申请号：US17203196
申请日：2021-03-16
Applicant: GE Precision Healthcare LLC
Inventor： Florintina C. , Deepa Anand , Dattesh Dayanand Shanbhag , Chitresh Bhushan , Radhika Madhavan
CPC classification number: G06T7/0014 , G06N20/00 , G06T3/147 , G06T7/11 , G06T2207/20081 , G06T2207/20084 , G06T2207/30008
Abstract: A medical imaging system includes at least one medical imaging device providing image data of a subject and a processing system programmed to generate a plurality of training images having simulated medical conditions by blending a pathology region from a plurality of template source images to a plurality of target images. The processing system is further programmed to train a deep learning network model using the plurality of training images and input the image data of the subject to the deep learning network model. The processing system is further programmed to generate a medical image of the subject based on the output of the deep learning network model.
-
Patent Agency Ranking
公开(公告)号：US20240005480A1
公开(公告)日：2024-01-04
申请号：US17810473
申请日：2022-07-01
Applicant: GE Precision Healthcare LLC
Inventor： Chitresh Bhushan , Dattesh Dayanand Shanbhag , Soumya Ghose , Amod Suhas Jog
CPC classification number: G06T7/0012 , G16H30/40 , G06T2207/20084 , G06T2207/20081
Abstract: Methods and systems are provided for automatic placement of at least one saturation band on a medical image, which may direct saturation pulses during a MRI scan. A method may include acquiring a localizer image of an imaging subject, determining a plane mask for the localizer image by entering the localizer image as input to a deep neural network trained to output the plane mask based on the localizer image, generating a saturation band based on the plane mask by positioning the saturation band at a position and an angulation of the plane mask, and outputting a graphical prescription for display on a display device, the graphical prescription including the saturation band overlaid on the medical image.
-
23.发明公开公开(公告)号：US20230162487A1
公开(公告)日：2023-05-25
申请号：US18099530
申请日：2023-01-20
Applicant: GE PRECISION HEALTHCARE LLC
Inventor： Soumya Ghose , Desmond Teck Beng Yeo , Thomas Kwok-Fah Foo , Chitresh Bhushan , Deepa Anand , Dattesh Dayanand Shanbhag , Radhika Madhavan
IPC: G06V10/774 , G06N3/098 , G06V10/762
CPC classification number: G06V10/774 , G06N3/098 , G06V10/763
Abstract: A computer implemented method is provided. The method includes establishing, via multiple processors, a continuous federated learning framework including a global model at a global site and respective local models derived from the global model at respective local sites. The method also includes retraining or retuning, via the multiple processors, the global model and the respective local models without sharing actual datasets between the global site and the respective local sites but instead sharing synthetic datasets generated from the actual datasets.
-
公开(公告)号：US20220358692A1
公开(公告)日：2022-11-10
申请号：US17307517
申请日：2021-05-04
Applicant: GE Precision Healthcare LLC
Inventor： Chitresh Bhushan , Dattesh Dayanand Shanbhag , Rakesh Mullick
Abstract: Techniques are described for generating reformatted views of a three-dimensional (3D) anatomy scan using deep-learning estimated scan prescription masks. According to an embodiment, a system is provided that comprises a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. The computer executable components comprise a mask generation component that employs a pre-trained neural network model to generate masks for different anatomical landmarks depicted in one or more calibration images captured of an anatomical region of a patient. The computer executable components further comprise a reformatting component that reformats 3D image data captured of the anatomical region of the patient using the masks to generate different representations of the 3D image data that correspond to the different anatomical landmarks.
-
公开(公告)号：US20220335597A1
公开(公告)日：2022-10-20
申请号：US17233807
申请日：2021-04-19
Applicant: GE Precision Healthcare LLC
Inventor： Dattesh Shanbhag , Deepa Anand , Chitresh Bhushan , Arathi Sreekumari , Soumya Ghose
Abstract: Systems and methods for workflow management for labeling the subject anatomy are provided. The method comprises obtaining at least one localizer image of a subject anatomy using a low-resolution medical imaging device. The method further comprises labeling at least one anatomical point within the at least one localizer image. The method further comprises extracting using a machine learning module a mask of the at least one localizer image comprising the at least one anatomical point label. The method further comprises using the mask to label at least one anatomical point on a high-resolution image of the subject anatomy based on the at least one anatomical point within the localizer image.
-
公开(公告)号：US20210177295A1
公开(公告)日：2021-06-17
申请号：US16711120
申请日：2019-12-11
Applicant: GE Precision Healthcare LLC
Inventor： André de Almeida Maximo , Dattesh Dayanand Shanbhag , Chitresh Bhushan , Dawei Gui
Abstract: Methods and systems are provided for determining diagnostic-scan parameters for a magnetic resonance (MR) diagnostic-scan, from MR calibration images, enabling acquisition of high-resolution diagnostic images of one or more anatomical regions of interest, while bypassing acquisition of localizer images, increasing a speed and efficiency of MR diagnostic-scanning. In one embodiment, a method for a magnetic resonance imaging (MRI) system comprises, acquiring a magnetic resonance (MR) calibration image of an imaging subject, mapping the MR calibration image to a landmark map using a trained deep neural network, determining one or more diagnostic-scan parameters based on the landmark map, acquiring an MR diagnostic image according to the diagnostic-scan parameters, and displaying the MR diagnostic image via a display device.
-
-
-
-
-
Search Results
26
records
(took 0.017 seconds)
