System and method for multi-shot variable auto-calibrating reconstruction for single channel diffusion weighted magnetic resonance imaging using low rank

US12332334B2 · kind B2 · utility

Assignee

• GE Precision Healthcare LLC · US

Inventors

• Nitin Jain · San Diego, US
• Ashok K. Reddy · Kanchinakote, IN
• Rajdeep Das · Houston, US
• Sajith Rajamani · Palakkad, IN
• Rajagopalan Sundaresan · Kanchinakote, IN
• Harsh Agarwal · New Delhi, IN
• Ramesh Venkatesan · Savanuru, IN

Key dates

• Filing date: May 16, 2023
• Grant date: Jun 17, 2025
• Expiry date: Dec 21, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G01R33/56341
• WIPO field: Measurement
• WIPO sector: Instruments

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.