公开(公告)号：US20220414449A1

公开(公告)日：2022-12-29

申请号：US17358694

申请日：2021-06-25

Applicant: GE Precision Healthcare LLC

Inventor： Chandan Aladahalli ,  Krishna Seetharam Shriram ,  Vikram Melapudi

IPC: G06N3/08 ,  G06K9/62

Abstract: Systems, computer-implemented methods, and computer program products that facilitate temporalizing and/or spatializing a machine learning and/or artificial intelligence network are provided. In various embodiments, a processor can combine output data from different layers of an artificial neural network trained on static image data. In various embodiments, the processor can employ the artificial neural network to infer an outcome from an image instance in a sequence of images based on combined output data from the different layers of the artificial neural network.

公开(公告)号：US20220309315A1

公开(公告)日：2022-09-29

申请号：US17212022

申请日：2021-03-25

Applicant: GE Precision Healthcare LLC

Inventor： Chandan Aladahalli ,  Vikram Melapudi ,  Krishna Seetharam Shriram

IPC: G06N3/04 ,  G06N3/08

Abstract: Systems and techniques that facilitate extension of existing neural networks without affecting existing outputs are provided. In various embodiments, a receiver component can access a neural network, wherein the neural network includes a first set of layers trained to perform a first computing task. In various instances, an extension component can insert a second set of layers into the neural network, wherein the second set of layers receive as input latent activations from the first set of layers. In various aspects, a training component can train, without changing the first set of layers, the second set of layers to perform a second computing task that is different from the first computing task.

公开(公告)号：US20220296219A1

公开(公告)日：2022-09-22

申请号：US17209080

申请日：2021-03-22

Applicant: GE Precision Healthcare LLC

Inventor： Chandan Kumar Mallappa Aladahalli ,  Krishna Seetharam Shriram ,  Vikram Melapudi

IPC: A61B8/00 ,  A61B8/08 ,  G06T7/10

Abstract: Methods and systems are provided for generating user guidance for ultrasound imaging. In one example, a method includes determining, with a probe recommendation model, a user action to an ultrasound probe prior to and/or during acquisition of a current ultrasound image frame, one or more anatomical features in the current ultrasound image frame, and an anatomy view of the current ultrasound image frame, and outputting, for display on a display device, a probe motion recommendation based on the user action, the one or more anatomical features, and the anatomy view.

公开(公告)号：US20220101544A1

公开(公告)日：2022-03-31

申请号：US17488750

申请日：2021-09-29

Applicant: GE Precision Healthcare LLC

Inventor： Rahul Venkataramani ,  Krishna Seetharam Shriram ,  Aditi Garg

IPC: G06T7/40 ,  G06T7/11

Abstract: Systems and methods for tissue specific time gain compensation of an ultrasound image are provided. The method comprises acquiring an ultrasound image of a subject and displaying the ultrasound image over a console. The method further comprises selecting by a user a region within the ultrasound image that requires time gain compensation. The method further comprises carrying out time gain compensation of the user selected region of the ultrasound image. The method further comprises identifying a region having a similar texture to the user selected region and carrying out time gain compensation of the user selected region by an artificial intelligence (AI) based deep learning module.

公开(公告)号：US20220087645A1

公开(公告)日：2022-03-24

申请号：US17029858

申请日：2020-09-23

Applicant: GE Precision Healthcare LLC

Inventor： Vikram Melapudi ,  Chandan Kumar Mallappa Aladahalli ,  Krishna Seetharam Shriram

IPC: A61B8/00 ,  A61B8/08 ,  G06T7/00 ,  G06K9/22 ,  G06T7/70 ,  G06T11/00

Abstract: Systems and methods for guided lung coverage and automated detection using ultrasound devices are disclosed. The method for guided coverage and automated detection of pathologies of a subject includes positioning an ultrasound probe on a region of the subject body to be imaged. The method includes capturing a video of the subject and processing the video to generate a torso image of the subject and identify location of the ultrasound probe on the subject body. The method includes registering the video to an anatomical atlas to generate a mask of the region of the subject body comprising a plurality of sub-regions of the subject body to be imaged and superimposing the mask over the torso image. The method further includes displaying an indicator corresponding to a location of the each of the plurality of the sub-regions on the torso image. The method further includes displaying the relative position of the ultrasound probe with respect to the indicator corresponding to the location of the each of the plurality of plurality of sub-regions of the subject body to be imaged.

公开(公告)号：US20210077059A1

公开(公告)日：2021-03-18

申请号：US16575092

申请日：2019-09-18

Applicant: GE Precision Healthcare LLC

Inventor： Krishna Seetharam Shriram ,  Arathi Sreekumari ,  Rakesh Mullick

IPC: A61B8/08 ,  A61B8/14 ,  G06T7/00

Abstract: Systems and methods are provided for projection profile enabled computer aided detection (CAD). Volumetric ultrasound dataset may be generated, based on echo ultrasound signals, and based on the volumetric ultrasound dataset, a three-dimensional (3D) ultrasound volume may generated. Selective structure detection may be applied to the three-dimensional (3D) ultrasound volume. The selective structure detection may include generating based on a projection of the three-dimensional (3D) ultrasound volume in a particular spatial direction, a two-dimensional (2D) image; applying two-dimensional (2D) structure detection to the two-dimensional (2D) image, to identify structure candidates associated with a particular type of structures; selecting for each identified structure candidate, a corresponding local volume within the three-dimensional (3D) ultrasound volume; applying three-dimensional (3D) structure detection to each selected local volume; and identifying based on applying the three-dimensional (3D) structure detection, one or more structure candidates that match the particular type of structures.

公开(公告)号：US20250149169A1

公开(公告)日：2025-05-08

申请号：US18504649

申请日：2023-11-08

Applicant: GE Precision Healthcare LLC

Inventor： Deepa Anand ,  Dattesh Shanbhag ,  Hariharan Ravishankar ,  Suresh Emmanuel Devadoss Joel ,  Rakesh Mullick ,  Rachana Sathish ,  Rahul Venkataramani ,  Krishna Seetharam Shriram ,  Prasad Sudhakara Murthy

IPC: G16H50/20 ,  G06T7/00 ,  G16H30/40

Abstract: Systems or techniques for facilitating learnable visual prompt engineering are provided. In various embodiments, a system can access a medical image and a pre-trained machine learning model that is configured to perform a diagnostic or prognostic inferencing task. In various aspects, the system can apply a pre-processing transformation to one or more pixels or voxels of the medical image, thereby yielding a transformed version of the medical image, wherein the pre-processing transformation can convert an input pixel or voxel intensity value to an output pixel or voxel intensity value via one or more parameters that are iteratively learned. In various instances, the system can perform the diagnostic or prognostic inferencing task, by executing the pre-trained machine learning model on the transformed version of the medical image.

公开(公告)号：US12239484B2

公开(公告)日：2025-03-04

申请号：US17646085

申请日：2021-12-27

Applicant: GE Precision Healthcare LLC

Inventor： Rahul Venkataramani ,  Chandan Aladahalli ,  Krishna Seetharam Shriram ,  Vikram Melapudi

IPC: A61B8/00 ,  G06V10/82

Abstract: Methods and systems are provided for generating ultrasound probe motion recommendations. In one example, a method includes obtaining an ultrasound image of a source scan plane, the ultrasound image acquired with an ultrasound probe at a first location relative to a patient, entering the ultrasound image as input to a probe recommendation model trained to output a set of recommendations to move the ultrasound probe from the first location to a plurality of additional locations at which a plurality of target scan planes can be imaged, and displaying the set of recommendations on a display device.

公开(公告)号：US20240215954A1

公开(公告)日：2024-07-04

申请号：US18145631

申请日：2022-12-22

Applicant: GE Precision Healthcare LLC

Inventor： Krishna Seetharam Shriram ,  Chandan Kumar Mallappa Aladahalli ,  Christian Perrey ,  Michaela Hofbauer

IPC: A61B8/08 ,  A61B8/00

CPC classification number: A61B8/483 ,  A61B8/54

Abstract: An ultrasound imaging system and method for calculating and displaying a probe position adjustment. The method includes acquiring a volumetric dataset with an ultrasound probe in a volumetric acquisition mode. The method includes automatically identifying, with a processor, an object representing a structure-of-interest from the volumetric dataset. The method includes automatically identifying, with the processor, an axis of the structure-of-interest based on the object. The method includes automatically calculating, with the processor, a probe position adjustment from a current probe position to enable the acquisition of a target scan plane of the structure-of-interest that either includes and is parallel to the axis or is perpendicular to the axis. The method includes presenting the probe position adjustment on a display device.

公开(公告)号：US11903768B2

公开(公告)日：2024-02-20

申请号：US16673644

申请日：2019-11-04

Applicant: GE Precision Healthcare LLC

Inventor： Abhijit Patil ,  Vikram Melapudi ,  Krishna Seetharam Shriram ,  Chandan Kumar Mallappa Aladahalli

IPC: A61B8/08 ,  G02B27/09 ,  A61B6/00 ,  G06T7/00

CPC classification number: A61B8/483 ,  A61B6/5258 ,  G02B27/0916 ,  G06T7/0012 ,  G06T2207/10132

Abstract: A system and method for automatically adjusting beamformer parameters based on ultrasound image analysis to enhance ultrasound image acquisition is provided. The method includes acquiring, by an ultrasound system, an ultrasound image. The method includes segmenting, by at least one processor, the ultrasound image to identify anatomical structure(s) and/or image artifact(s) in the ultrasound image. The method includes detecting, by the at least one processor, a location of each of the identified anatomical structure(s) and/or image artifact(s). The method includes automatically adjusting, by the at least one processor, at least one beamformer parameter based on the detected location of one or more of the identified anatomical structure(s) and/or the image artifact(s). The method includes acquiring, by the ultrasound system, an enhanced ultrasound image based on the automatically adjusted at least one beamformer parameter. The method includes presenting, at a display system, the enhanced ultrasound image.