公开(公告)号：US11954853B2

公开(公告)日：2024-04-09

申请号：US17382159

申请日：2021-07-21

Applicant: GE Precision Healthcare LLC

Inventor： Sylvain Bernard ,  Vincent Bismuth

IPC: G06T7/00 ,  G06N3/08 ,  G06N3/084 ,  G16H30/40

CPC classification number: G06T7/0012 ,  G06N3/084 ,  G16H30/40 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30068

Abstract: This disclosure proposes to speed up computation time of a convolutional neural network (CNN) by leveraging information specific to a pre-defined region, such as a breast in mammography and tomosynthesis data. In an exemplary embodiment, a method for an image processing system is provided, comprising, generating an output of a trained convolutional neural network (CNN) of the image processing system based on an input image, including a pre-defined region of the input image as an additional input into at least one of a convolutional layer and a fully connected layer of the CNN to limit computations to input image data inside the pre-defined region; and storing the output and/or displaying the output on a display device.

公开(公告)号：US20240020792A1

公开(公告)日：2024-01-18

申请号：US17813264

申请日：2022-07-18

Applicant: GE Precision Healthcare LLC

Inventor： Michel S. Tohme ,  Vincent Bismuth ,  Ludovic Boilevin Kayl ,  German Guillermo Vera Gonzalez ,  Tao Tan ,  Gopal B. Avinash

IPC: G06T5/00 ,  G06T7/80

CPC classification number: G06T5/002 ,  G06T7/80 ,  G06T2207/10081 ,  G06T2207/20081

Abstract: Various methods and systems are provided for denoising images. In one example, a method includes obtaining an input image and a noise map representing noise in the input image, generating, from the noise map and based on a calibration factor, a strength map, entering the input image and the strength map as input to a denoising model trained to output a denoised image based on the input image and the strength map, and displaying and/or saving the denoised image output by the denoising model.

公开(公告)号：US20230248323A1

公开(公告)日：2023-08-10

申请号：US17667764

申请日：2022-02-09

Applicant: GE Precision Healthcare LLC

Inventor： Sylvain Bernard ,  Vincent Bismuth

IPC: A61B6/02 ,  A61B6/00 ,  G06T7/00 ,  G06T11/00 ,  G16H30/40

CPC classification number: A61B6/025 ,  A61B6/502 ,  G06T7/0008 ,  G06T11/006 ,  G16H30/40 ,  G06T2207/30096 ,  G06T2207/20084 ,  G06T2207/30068

Abstract: A convolutional neural network (CNN) is employed in an automated feature and/or anomaly detection system for analyzing images provided by X-ray imaging system. The automated detection system operates in a manner that reduces the number of full-resolution CNN convolution layers required in order to speed up the network inference and learning processes for the detection system. To do so, the detection system utilizes as an input a more compact representation of the tomographic data to alleviate the CNN memory footprint and computation time issues in prior art X-ray systems.

公开(公告)号：US20230284986A1

公开(公告)日：2023-09-14

申请号：US17690258

申请日：2022-03-09

Applicant: GE Precision Healthcare LLC

Inventor： Dejun Wang ,  Buer Qi ,  Tao Tan ,  Gireesha Chinthamani Rao ,  Gopal B. Avinash ,  Qingming Peng ,  Yaan Ge ,  Sylvain Bernard ,  Vincent Bismuth

IPC: A61B6/00 ,  A61B6/02 ,  G06T3/40 ,  G06V10/25 ,  G06N3/04

CPC classification number: A61B6/4429 ,  A61B6/5205 ,  A61B6/025 ,  G06T3/4046 ,  G06V10/25 ,  G06N3/0454

Abstract: A tomosynthesis machine allows for faster image acquisition and improved signal-to-noise by acquiring a projection attenuation data and using machine learning to identify a subset of the projection attenuation data for the production of thinner slices and/or higher resolution slices using machine learning.

公开(公告)号：US12121382B2

公开(公告)日：2024-10-22

申请号：US17690258

申请日：2022-03-09

Applicant: GE Precision Healthcare LLC

Inventor： Dejun Wang ,  Buer Qi ,  Tao Tan ,  Gireesha Chinthamani Rao ,  Gopal B. Avinash ,  Qingming Peng ,  Yaan Ge ,  Sylvain Bernard ,  Vincent Bismuth

IPC: A61B6/40 ,  A61B6/00 ,  A61B6/02 ,  G06N3/045 ,  G06T3/4046 ,  G06V10/25

CPC classification number: A61B6/4429 ,  A61B6/025 ,  A61B6/5205 ,  G06N3/045 ,  G06T3/4046 ,  G06V10/25

Abstract: A tomosynthesis machine allows for faster image acquisition and improved signal-to-noise by acquiring a projection attenuation data and using machine learning to identify a subset of the projection attenuation data for the production of thinner slices and/or higher resolution slices using machine learning.

公开(公告)号：US20240193763A1

公开(公告)日：2024-06-13

申请号：US18077575

申请日：2022-12-08

Applicant: GE Precision Healthcare LLC

Inventor： Sylvain Bernard ,  Dejun Wang ,  Buer Qi ,  Gopal B. Avinash ,  Gireesha Rao ,  Vincent Bismuth

IPC: G06T7/00 ,  G06T5/00 ,  G06T7/194

CPC classification number: G06T7/0012 ,  G06T5/001 ,  G06T7/194 ,  G06T2207/10116 ,  G06T2207/30096

Abstract: Various methods and systems are provided for enhancing the generation of a synthetic 2D image from tomosynthesis projection images, such as a synthetic 2D image. To enhance the image, the image processing system utilizes a selected height interval to scan for objects of interest within a volume reconstructed from the tomosynthesis projection images. The height interval is larger than normal slices formed from the reconstructed volume, such that pixel information on larger masses can be obtained from adjacent slices within the volume. Further, the illustration of the object of interest in the synthetic 2D image can be modified by contributing pixel information from all tomosynthesis projections for the presentation of the object or interest. The use of pixel information from all tomosynthesis projections enhances the illustration of the high frequency components and the low frequency components of the object of interest within the enhanced image.

公开(公告)号：US12288275B2

公开(公告)日：2025-04-29

申请号：US17443939

申请日：2021-07-28

Applicant: GE Precision Healthcare LLC

Inventor： Vincent Bismuth ,  Sylvain Bernard ,  Fanny Patoureaux ,  Yana Popova ,  Jorge Corsino Espino ,  Xavier Mancardi ,  Mathilde Ravier

IPC: G06T11/00 ,  A61B6/02 ,  A61B6/50 ,  G06T7/62

Abstract: Various systems are provided for non-uniform thickness and/or sampling of slabs of the breast to present DBT acquisitions. A method for generating a patient image as a set of slabs representing an imaged object, the method comprising acquiring a tomosynthesis projection, reconstructing a series of slab images, each slab representing a portion of a breast, and a plurality of slabs of non-uniform thickness and/or non-uniform sampling in a 3D reconstructed domain defined by x-, y-, and z-axes.

公开(公告)号：US20230394717A1

公开(公告)日：2023-12-07

申请号：US18233649

申请日：2023-08-14

Applicant: GE Precision Healthcare LLC

Inventor： Vincent Bismuth ,  Sylvain Bernard ,  Giang-Chau Ngo ,  Charlotte Delmas ,  Solène Coeuret

IPC: G06T11/00 ,  G06T15/20 ,  G06T7/00

CPC classification number: G06T11/008 ,  G06T15/205 ,  G06T2207/30068 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T7/0012

Abstract: An image processing system and method is provided for correcting artefacts within a three-dimensional (3D) volume reconstructed from a plurality of two-dimensional (2D) projection images of an object. The system and method is implemented on an imaging system having a processing unit operable to control the operation of a radiation source and a detector to generate a plurality of 2D projection images. The system also includes a memory connected to the processing unit and storing processor-executable code that when executed by the processing unit operates to reconstruct the 3D volume from the plurality of 2D projection images, the 3D volume defined in a pseudo parallel geometry based on a zero angle from the plurality of 2D projection images, wherein reconstructing the 3D volume comprises reconstructing a 3D virtual object defined in a pseudo parallel geometry based on the zero angle from the plurality of 2D projection images, and correcting the 3D virtual object to form the 3D volume.

公开(公告)号：US20230031814A1

公开(公告)日：2023-02-02

申请号：US17443939

申请日：2021-07-28

Applicant: GE Precision Healthcare LLC

Inventor： Vincent Bismuth ,  Sylvain Bernard ,  Fanny Patoureaux ,  Yana Popova ,  Jorge Corsino Espino ,  Xavier Mancardi ,  Mathilde Ravier

IPC: G06T11/00 ,  A61B6/02 ,  A61B6/00 ,  G06T7/62

Abstract: Various systems are provided for non-uniform thickness and/or sampling of slabs of the breast to present DBT acquisitions. A method for generating a patient image as a set of slabs representing an imaged object, the method comprising acquiring a tomosynthesis projection, reconstructing a series of slab images, each slab representing a portion of a breast, and a plurality of slabs of non-uniform thickness and/or non-uniform sampling in a 3D reconstructed domain defined by x-, y-, and z-axes.

公开(公告)号：US20230023042A1

公开(公告)日：2023-01-26

申请号：US17382159

申请日：2021-07-21

Applicant: GE Precision Healthcare LLC

Inventor： Sylvain Bernard ,  Vincent Bismuth

IPC: G06T7/00 ,  G06N3/08 ,  G16H30/40

Abstract: This disclosure proposes to speed up computation time of a convolutional neural network (CNN) by leveraging information specific to a pre-defined region, such as a breast in mammography and tomosynthesis data. In an exemplary embodiment, a method for an image processing system is provided, comprising, generating an output of a trained convolutional neural network (CNN) of the image processing system based on an input image, including a pre-defined region of the input image as an additional input into at least one of a convolutional layer and a fully connected layer of the CNN to limit computations to input image data inside the pre-defined region; and storing the output and/or displaying the output on a display device.