公开(公告)号：US20230013779A1

公开(公告)日：2023-01-19

申请号：US17368534

申请日：2021-07-06

Applicant: GE Precision Healthcare LLC

Inventor： Rajesh Veera Venkata Lakshmi Langoju ,  Prasad Sudhakara Murthy ,  Utkarsh Agrawal ,  Bhushan D. Patil ,  Bipul Das

IPC: G06T5/00 ,  G06T5/20 ,  G06T3/40 ,  G06N20/00

Abstract: Systems/techniques that facilitate self-supervised deblurring are provided. In various embodiments, a system can access an input image generated by an imaging device. In various aspects, the system can train, in a self-supervised manner based on a point spread function of the imaging device, a machine learning model to deblur the input image. More specifically, the system can append to the model one or more non-trainable convolution layers having a blur kernel that is based on the point spread function of the imaging device. In various aspects, the system can feed the input image to the model, the model can generate a first output image based on the input image, the one or more non-trainable convolution layers can generate a second output image by convolving the first output image with the blur kernel, and the system can update parameters of the model based on a difference between the input image and the second output image.

公开(公告)号：US20240285256A1

公开(公告)日：2024-08-29

申请号：US18175307

申请日：2023-02-27

Applicant: GE Precision Healthcare LLC

Inventor： Pavan Annangi ,  Deepa Anand ,  Stephan Anzengruber ,  Bhushan D. Patil ,  Arathi Sreekumari

IPC: A61B8/08 ,  A61B8/00

CPC classification number: A61B8/483 ,  A61B8/466 ,  G06T2207/20084

Abstract: Various methods and ultrasound imaging systems are provided for segmenting an object. In one example, a method includes accessing a volumetric ultrasound dataset, receiving an identification of a seed point for an object in an image generated based on the volumetric ultrasound dataset, and implementing a two-dimensional segmentation model on a first plurality of parallel slices based on the seed point to generate a first plurality of segmented regions. The method includes implementing the two-dimensional segmentation model on a second plurality of parallel slices based on the seed point to generate a second plurality of segmented regions. The method includes generating a detected region by accumulating the first plurality of segmented regions and the second plurality of segmented regions. The method includes implementing a shape completion model to generate a three-dimensional shape model for the object, and displaying rendering of the object based on the three-dimensional shape model.

公开(公告)号：US12131446B2

公开(公告)日：2024-10-29

申请号：US17368534

申请日：2021-07-06

Applicant: GE Precision Healthcare LLC

Inventor： Rajesh Veera Venkata Lakshmi Langoju ,  Prasad Sudhakara Murthy ,  Utkarsh Agrawal ,  Bhushan D. Patil ,  Bipul Das

IPC: G06T5/73 ,  G06N20/00 ,  G06T3/4053 ,  G06T5/20

CPC classification number: G06T5/73 ,  G06N20/00 ,  G06T3/4053 ,  G06T5/20 ,  G06T2207/20081

Abstract: Systems/techniques that facilitate self-supervised deblurring are provided. In various embodiments, a system can access an input image generated by an imaging device. In various aspects, the system can train, in a self-supervised manner based on a point spread function of the imaging device, a machine learning model to deblur the input image. More specifically, the system can append to the model one or more non-trainable convolution layers having a blur kernel that is based on the point spread function of the imaging device. In various aspects, the system can feed the input image to the model, the model can generate a first output image based on the input image, the one or more non-trainable convolution layers can generate a second output image by convolving the first output image with the blur kernel, and the system can update parameters of the model based on a difference between the input image and the second output image.

公开(公告)号：US20250152139A1

公开(公告)日：2025-05-15

申请号：US18505994

申请日：2023-11-09

Applicant: GE Precision Healthcare LLC

Inventor： Pavan Annangi ,  Deepa Anand ,  Bhushan D. Patil ,  Stephan Anzengruber

IPC: A61B8/08 ,  A61B8/00 ,  A61B8/12

Abstract: The current disclosure provides systems and methods for improving a visualization of an image volume of a uterus and/or endometrium of a subject acquired using a transvaginal ultrasound system (TVUS). In one example, a method for the TVUS comprises extracting a medial axis of an endometrium of a received two-dimensional (2D) ultrasound image of a uterus of a subject; generating a uterine trace line based on the extracted medial axis; acquiring a three-dimensional (3D) image volume of the uterus based on the uterine trace line; and displaying the 3D image volume on a display device of the TVUS.

公开(公告)号：US20240153048A1

公开(公告)日：2024-05-09

申请号：US18052820

申请日：2022-11-04

Applicant: GE Precision Healthcare LLC

Inventor： Pavan Annangi ,  Anders R. Sørnes ,  Prasad Sudhakara Murthy ,  Bhushan D. Patil ,  Erik Normann Steen ,  Tore Bjaastad ,  Rohan Keshav Patil

IPC: G06T5/00 ,  G06T5/10

CPC classification number: G06T5/006 ,  G06T5/10 ,  G06T2207/10132 ,  G06T2207/20024 ,  G06T2207/20048

Abstract: Methods and systems are provided for removing visual artifacts from a medical image acquired during a scan of an object, such as a patient. In one example, a method for an image processing system comprises receiving a medical image; performing a wavelet decomposition on image data of the medical image; performing one or more 2-D Fourier transforms on wavelet coefficients resulting from the wavelet decomposition; removing image artifacts from the Fourier coefficients determined from the 2-D Fourier transforms using a filter; reconstructing the medical image using the filtered Fourier coefficients; and displaying the reconstructed medical image on a display device of the image processing system.