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：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.