公开(公告)号：US20240385274A1

公开(公告)日：2024-11-21

申请号：US18318489

申请日：2023-05-16

Applicant: GE Precision Healthcare LLC

Inventor： Nitin Jain ,  Ashok Kumar P Reddy ,  Rajdeep Das ,  Sajith Rajamani ,  Rajagopalan Sundaresan ,  Harsh Kumar Agarwal ,  Ramesh Venkatesan

IPC: G01R33/58 ,  G01R33/56 ,  G01R33/561 ,  G01R33/563

Abstract: A method includes obtaining k-space data acquired by an MRI scanner from a single channel body coil utilizing a multi-shot EP-DWI pulse sequence and sampling the k-space data for a plurality of shots so that for each shot both a central k-space is fully sampled to form a central calibration region and an outer k-space is partially sampled by a factor equal to a number of shots. The method includes reconstructing an initial fully sampled k-space estimate for each shot utilizing both partial Fourier constant sampling and projection on convex sets reconstruction, wherein the plurality of shots is treated as a plurality of channels for filling in missing k-space for a respective shot. The method includes utilizing a low-rank regularization algorithm in an iterative manner to generate a reconstructed image for each shot, wherein the initial fully sampled k-space estimate for each shot is utilized as an initial guess.

公开(公告)号：US11280868B2

公开(公告)日：2022-03-22

申请号：US16904801

申请日：2020-06-18

Applicant: GE Precision Healthcare LLC

Inventor： Ramesh Venkatesan ,  Imam Ahmed Shaik ,  Rajagopalan Sundaresan ,  Ashok Kumar P Reddy

IPC: G01R33/56 ,  G01R33/54 ,  G06N3/08 ,  G01R33/34 ,  A61B5/055 ,  G01R33/48

Abstract: Image enhancement systems and methods with variable number of excitation (NEX) acquisitions accelerated using compressed sensing for magnetic resonance (MR) imaging are provided. The MR system comprises a body coil adapted to emit electromagnetic waves onto the anatomy of interest and receive the signals emitted from the anatomy of interest. The system comprises variable number of excitations (NEX) based compressed sensing by acquisition of different points in k-space using the body coil. A first neural network comprising an image enhancement module is provided to reconstruct the body coil images that provides a high-quality image. The high-quality image is stored in an image database. A processor is configured to connect the image database to a second neural network that is a deep learning network trained to assess the image quality and provide feedback to the processor and the first neural network.