Coil Sketching for Fast and Efficient 4D Lung MRI Reconstruction.

ABSTRACT:

Purpose

To develop and evaluate a memory-efficient and accelerated reconstruction framework for respiratory-resolved 4D lung MRI using coil sketching and Toeplitz approximation, enabling high-quality motion-compensated low-rank (MoCo-LR) reconstructions on clinically accessible GPU hardware.

Theory and methods

Respiratory-resolved 4D MRI enables non-invasive assessment of pulmonary structure and function but is limited by computational and memory demands from large matrices and long acquisitions. We extend the coil sketching framework-previously proposed for 3D imaging-to 4D (3D + time), allowing the data consistency term of compressed-sensing objective functions to be solved with reduced GPU memory consumption and reconstruction duration while preserving image accuracy. Add

SUBMITTER: Plummer JW 

PROVIDER: S-EPMC12850557 | biostudies-literature | 2026 Apr

REPOSITORIES: biostudies-literature