公开(公告)号：US20250052843A1

公开(公告)日：2025-02-13

申请号：US18446898

申请日：2023-08-09

Applicant: GE Precision Healthcare LLC

Inventor： Florintina C ,  Suresh Emmanuel Devadoss Joel ,  Sajith Rajamani ,  Preetham Shankpal ,  Megha Goel ,  Sudhanya Chatterjee

IPC: G01R33/565 ,  G01R33/48 ,  G01R33/56 ,  G06T5/00

Abstract: A system and method for improving image quality of periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) imaging include acquiring a plurality of blades of k-space data of a region of interest in a rotational manner around a center of k-space via a magnetic resonance imaging (MRI) scanner from a coil during a PROPELLER sequence, wherein each blade of the plurality of blades of k-space data includes a plurality of parallel phase encoding lines sampled in a phase encoding order. The system and method also include utilizing a deep learning-based denoising network to denoise each blade of the plurality of blades of k-space data to generate a plurality of denoised blades. The system and method further include utilizing a PROPELLER reconstruction algorithm to generate a complex image from the plurality of denoised blades.

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.

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.