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公开(公告)号：US12276715B2
公开(公告)日：2025-04-15
申请号：US18331885
申请日：2023-06-08
Applicant: GE Precision Healthcare LLC
Inventor： Sudhanya Chatterjee , Megha Goel , Suresh Emmanuel Devadoss Joel , Rohan Keshav Patil , Florintina C , Preetham Shankapal
IPC: G01R33/48 , A61B5/055 , G01R33/56 , G01R33/565 , G06T7/00
Abstract: Systems and methods are provided for reconstructing images from motion-affected k-space data. In one example, a method comprises obtaining k-space data of a spin echo magnetic resonance imaging (MRI) exam of a subject, the k-space data comprising a plurality of echo train lengths (ETLs), with each ETL comprising a subset of lines of the k-space data. The method further comprises identifying a subset of ETLs of the plurality of ETLs of the k-space data corresponding to a dominant pose of the subject, generating an undersampled version of the k-space data, the undersampled version including only the subset of ETLs, entering the undersampled version of the k-space data as input to a reconstruction model trained to output a reconstructed image based on the undersampled version of the k-space data, and displaying the reconstructed image on a display device and/or saving the reconstructed image in memory.
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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
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.
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公开(公告)号：US20240005451A1
公开(公告)日：2024-01-04
申请号：US17810271
申请日：2022-06-30
Applicant: GE Precision Healthcare LLC
Inventor： Rohan Keshav Patil , Sudhanya Chatterjee
CPC classification number: G06T3/4076 , G06T3/4046 , G16H30/40
Abstract: Various methods and systems are provided for generating super-resolution images. In one embodiment, a method comprises: progressively up-sampling an input image to generate a super-resolution output image by: generating N intermediate images based on the input image, where N is equal to at least one, including a first intermediate image by providing the input image to a deep neural network, where a resolution of the first intermediate image is a multiple of a resolution of the input image, higher than the resolution of the input image, and can be any positive real value and not necessarily an integer value; generating the super-resolution output image based on the N intermediate images, the super-resolution output image having a resolution higher than a respective resolution of each intermediate image of the N intermediate images and the resolution of the input image; and displaying the super-resolution output image via a display device.
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公开(公告)号：US20240385267A1
公开(公告)日：2024-11-21
申请号：US18665381
申请日：2024-05-15
Applicant: GE Precision Healthcare LLC
Inventor： Sudhanya Chatterjee , Harsh Kumar Agarwal , Florintina C , Rohan Keshav Patil , Suresh Emmanuel Devadoss Joel , Sajith Rajamani
IPC: G01R33/48 , G01R33/385 , G01R33/56
Abstract: A method for magnetic resonance imaging (MRI) includes determining a Partial Fourier (PF) factor and an acceleration factor for acquiring k-space data from a subject. The method also includes acquiring a set of k-space data from the subject using the PF factor along with an under-sampling technique, wherein the under-sampling technique is dependent on the acceleration factor. The image of the subject is reconstructed by processing the set of k-space data using a deep learning (DL) network.
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5.发明公开公开(公告)号：US20230238134A1
公开(公告)日：2023-07-27
申请号：US17648920
申请日：2022-01-25
Applicant: GE Precision Healthcare LLC
Inventor： Hariharan Ravishankar , Rohan Keshav Patil , Abhijit Patil , Heikki Paavo Aukusti Vaananen
CPC classification number: G16H50/20 , G06N3/0454 , G16H15/00 , G16H40/63 , G16H50/30 , A61B5/361 , A61B5/363
Abstract: Methods and systems are provided for predicting cardiac arrhythmias based on multi-modal patient monitoring data via deep learning. In an example, a method may include predicting an imminent onset of a cardiac arrhythmia in a patient, before the cardiac arrhythmia occurs, by analyzing patient monitoring data via a multi-arm deep learning model, outputting an arrhythmia event in response to the prediction, and outputting a report indicating features of the patient monitoring data contributing to the prediction. In this way, the multi-arm deep learning model may predict cardiac arrhythmias before their onset.
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Patent Agency Ranking
6.发明授权公开(公告)号：US11593936B2
公开(公告)日：2023-02-28
申请号：US17135713
申请日：2020-12-28
Applicant: GE Precision Healthcare LLC
Inventor： Rohan Keshav Patil , Vikram Melapudi , Prasad Sudhakara Murthy , Christian Perrey , Pavan Annangi
Abstract: A method and ultrasound imaging system includes generating a cine including a plurality of cardiac views based on the cardiac ultrasound data, segmenting a plurality of cardiac chambers from each of the plurality of cardiac images, and automatically determining a cardiac chamber area for each of the plurality of cardiac chambers. The method and ultrasound imaging system includes displaying the cine on a display device and displaying a plurality of single trace curves on the display device at the same time as the cine to provide feedback regarding an acquisition quality of the cine, wherein each of the single trace curves represents the cardiac chamber area for a different one of the plurality of cardiac chambers over the plurality of cardiac cycles.
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7.发明申请公开(公告)号：US20250029316A1
公开(公告)日：2025-01-23
申请号：US18356083
申请日：2023-07-20
Applicant: GE Precision Healthcare LLC
Inventor： Rohan Keshav Patil , Sudhanya Chatterjee , Dattesh Dayanand Shanbhag
Abstract: The disclosure relates to multiplanar reformation of three-dimensional medical images. In particular, the invention provides a method for reformatting image sequences by determining a landmark plane intersecting a volume, acquiring an image sequence, reformatting the image sequence along the landmark plane to produce a first reformatted image sequence, perturbing the landmark plane to produce a perturbed landmark plane, reformatting the first reformatted image sequence along the perturbed landmark plane to produce a second reformatted image sequence, mapping the second reformatted image sequence, the image sequence, and the landmark plane, to a resolution enhanced image sequence using a trained image enhancement network, and displaying the resolution enhanced image sequence via a display device. The present disclosure provides approaches which may reduce image artifacts in retrospectively reformatted image sequences, particularly in cases of retrospective reformatting of medium or low-resolution image sequences, without relying on acquisition of high-resolution 3D images.
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公开(公告)号：US20240410965A1
公开(公告)日：2024-12-12
申请号：US18331885
申请日：2023-06-08
Applicant: GE Precision Healthcare LLC
Inventor： Sudhanya Chatterjee , Megha Goel , Suresh Emmanuel Devadoss Joel , Rohan Keshav Patil , Florintina C , Preetham Shankapal
IPC: G01R33/48 , A61B5/055 , G01R33/56 , G01R33/565 , G06T7/00
Abstract: Systems and methods are provided for reconstructing images from motion-affected k-space data. In one example, a method comprises obtaining k-space data of a spin echo magnetic resonance imaging (MRI) exam of a subject, the k-space data comprising a plurality of echo train lengths (ETLs), with each ETL comprising a subset of lines of the k-space data. The method further comprises identifying a subset of ETLs of the plurality of ETLs of the k-space data corresponding to a dominant pose of the subject, generating an undersampled version of the k-space data, the undersampled version including only the subset of ETLs, entering the undersampled version of the k-space data as input to a reconstruction model trained to output a reconstructed image based on the undersampled version of the k-space data, and displaying the reconstructed image on a display device and/or saving the reconstructed image in memory.
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公开(公告)号：US20230409673A1
公开(公告)日：2023-12-21
申请号：US17807761
申请日：2022-06-20
Applicant: GE Precision Healthcare LLC
Inventor： Ravishankar Hariharan , Rohan Keshav Patil , Rahul Venkataramani , Prasad Sudhakara Murthy , Deepa Anand , Utkarsh Agrawal
CPC classification number: G06K9/6265 , G06K9/6227 , G06N3/02
Abstract: Systems/techniques that facilitate improved uncertainty scoring for neural networks via stochastic weight perturbations are provided. In various embodiments, a system can access a trained neural network and/or a data candidate on which the trained neural network is to be executed. In various aspects, the system can generate an uncertainty indicator representing how confidently executable or how unconfidently executable the trained neural network is with respect to the data candidate, based on a set of perturbed instantiations of the trained neural network.
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10.发明申请公开(公告)号：US20220207717A1
公开(公告)日：2022-06-30
申请号：US17135713
申请日：2020-12-28
Applicant: GE Precision Healthcare LLC
Inventor： Rohan Keshav Patil , Vikram Melapudi , Prasad Sudhakara Murthy , Christian Perrey , Pavan Annangi
Abstract: A method and ultrasound imaging system includes generating a cine including a plurality of cardiac views based on the cardiac ultrasound data, segmenting a plurality of cardiac chambers from each of the plurality of cardiac images, and automatically determining a cardiac chamber area for each of the plurality of cardiac chambers. The method and ultrasound imaging system includes displaying the cine on a display device and displaying a plurality of single trace curves on the display device at the same time as the cine to provide feedback regarding an acquisition quality of the cine, wherein each of the single trace curves represents the cardiac chamber area for a different one of the plurality of cardiac chambers over the plurality of cardiac cycles.
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