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Abstract #0031

Coil sketching for fast and efficient 4D lung MRI reconstruction

Joseph William Plummer1, Pierre Daudé1, Rajiv Ramasawmy1, Ahsan Javed1, Anastastia Tsakirellis1, Joel Moss2, and Adrienne Campbell-Washburn1
1National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States, 2Critical Care Medicine and Pulmonary Branch, National Institutes of Health, Bethesda, MD, United States

Synopsis

Keywords: Image Reconstruction, Image Reconstruction

Motivation: Non-Cartesian 4D lung MRI is especially challenging due to large matrix sizes and cardio-respiratory motion, leading to high memory allocation and long image reconstruction times. To be clinically feasible, there is a need for faster and more computationally-efficient respiratory-resolved reconstructions.

Goal(s): Extend highly-efficient coil sketching reconstruction to 4D MRI, and solve large respiratory-resolved low rank reconstruction problems within clinically feasible timeframes and within <24GB GPU memory.

Approach: We developed and applied 4D coil sketching to low-rank and motion-compensated low-rank reconstruction for free-breathing Stack-of-Spirals pulmonary imaging.

Results: Coil sketching provided >2-fold faster and 3-fold more memory-efficient reconstructions compared to conventional methods.

Impact: 4D coil sketching enables <5 minute reconstructions for high-resolution respiratory-resolved lung imaging, without the need for server-grade GPUs. This approach is ideal for free-breathing lung MRI applications, like phase-resolved functional-lung (PREFUL) MRI, that demand extensive oversampling and high temporal resolution.

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Keywords