US 12,332,334 B2
System and method for multi-shot variable auto-calibrating reconstruction for single channel diffusion weighted magnetic resonance imaging using low rank
Nitin Jain, Damoh (IN); Ashok Kumar P Reddy, Bangalore (IN); Rajdeep Das, Kolkata (IN); Sajith Rajamani, Palakkad (IN); Rajagopalan Sundaresan, Bangalore (IN); Harsh Kumar Agarwal, Jaipur (IN); and Ramesh Venkatesan, Bangalore (IN)
Assigned to GE PRECISION HEALTHCARE LLC, Waukesha, WI (US)
Filed by GE Precision Healthcare LLC, Wauwatosa, WI (US)
Filed on May 16, 2023, as Appl. No. 18/318,489.
Prior Publication US 2024/0385274 A1, Nov. 21, 2024
Int. Cl. G01V 3/00 (2006.01); G01R 33/56 (2006.01); G01R 33/561 (2006.01); G01R 33/563 (2006.01); G01R 33/58 (2006.01)
CPC G01R 33/58 (2013.01) [G01R 33/5608 (2013.01); G01R 33/5616 (2013.01); G01R 33/56341 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for performing echo-planar diffusion weighted imaging (EP-DWI), comprising:
obtaining, via a processor, k-space data of a region of interest acquired by a magnetic resonance imaging (MRI) scanner from a single channel body coil utilizing a multi-shot EP-DWI pulse sequence;
sampling, via the processor, the k-space data for a plurality of shots so that for each shot of the plurality of shots both a central k-space is fully sampled to form a central calibration region and an outer k-space is partially sampled in a phase encoding direction by a factor equal to a number of shots of the plurality of shots, wherein during sampling of the k-space data for the plurality of shots a width of the central calibration region varies across the plurality of shots to control distortion levels in the EP-DWI;
reconstructing, via the processor, an initial fully sampled k-space estimate for each shot of the plurality of shots utilizing partial Fourier constant sampling and both autocalibrating reconstruction for Cartesian imaging (ARC) and projection on convex sets (POCS) reconstruction, wherein the plurality of shots is treated as a plurality of channels for filling in missing k-space for a respective shot, and wherein interleaved shot-space is filled with ARC and partial k-space is filled with POCS reconstruction; and
utilizing, via the processor, a low-rank regularization algorithm in an iterative manner to generate a reconstructed image for each shot of the plurality of shots, wherein the initial fully sampled k-space estimate for each shot of the plurality of shots is utilized by the low-rank regularization algorithm as an initial guess.