公开(公告)号：US20230324487A1

公开(公告)日：2023-10-12

申请号：US17715617

申请日：2022-04-07

Applicant: GE PRECISION HEALTHCARE LLC

Inventor： Nitin Jain ,  Rajagopalan Sundaresan ,  Harsh Agarwal ,  Ramesh Venkatesan

IPC: G01R33/561 ,  G01R33/48 ,  G01R33/565

CPC classification number: G01R33/561 ,  G01R33/4818 ,  G01R33/56509

Abstract: A magnetic resonance (MR) imaging acceleration method is provided. The method includes applying, by an MR system, a pulse sequence having a k-space trajectory of a plurality of blades being rotated in k-space, each blade including a plurality of views, wherein the k-space trajectory has an undersampling pattern in the k-space. The method also includes receiving k-space data of a subject acquired by the pulse sequence, reconstructing MR images of the subject based on the k-space data using compressed sensing, and outputting the reconstructed images.

公开(公告)号：US11719775B1

公开(公告)日：2023-08-08

申请号：US17587404

申请日：2022-01-28

Applicant: GE PRECISION HEALTHCARE LLC

Inventor： Victor Taracila ,  Robert Steven Stormont ,  Ravi Shankar Jaiswal ,  Fraser John Laing Robb ,  Ramesh Venkatesan ,  Emily Rose Long ,  Jana Michelle Vincent

IPC: G01R33/34 ,  G01R33/343

CPC classification number: G01R33/34084 ,  G01R33/343

Abstract: An RF receiving coil assembly for a magnetic resonance imaging system includes a flexible enclosure. The RF coil assembly also includes an RF coil enclosed within the flexible enclosure. The RF coil includes a plurality of loops, each loop of the plurality of loops having a same perimeter.

公开(公告)号：US20240378696A1

公开(公告)日：2024-11-14

申请号：US18144452

申请日：2023-05-08

Applicant: GE Precision Healthcare LLC

Inventor： Florintina C ,  Sajith Rajamani ,  Preetham Shankpal ,  Suresh Emmanuel Devadoss Joel ,  Sudhanya Chatterjee ,  Rohan Patil ,  Ramesh Venkatesan ,  Rajagopalan Sundaresan ,  Harsh Kumar Agarwal

IPC: G06T5/50 ,  G06T5/00

Abstract: A method includes acquiring an MRI complex signal having a plurality of complex echoes during an SWI sequence. The method includes phase filtering each complex echo of the plurality of complex echoes. The method also includes generating a respective phase image and a respective magnitude image from each phase filtered complex echo. The method further includes combining separately the respective magnitude images of the plurality of complex echoes with each other to generate a combined magnitude image and the respective phase images of the plurality of complex echoes with each other to generate a combined phase image. The method includes generating a complex image from both the combined magnitude image and the combined phase image. The method includes utilizing a deep learning-based denoising network to denoise the complex image to generate a denoised complex image.