DREME-GSMR uses 3D Gaussian representations of anatomy and low-rank motion to reconstruct time-resolved MR volumes at 400 ms resolution and enable 10 ms real-time motion tracking, with reported SSIM of 0.92 and sub-millimeter errors on phantoms and patients.
An ROI mask was generated from the reference image using intensity thresholding to separate the low-intensity air/background and focus the Jacobian regularization on the anatomy
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Spatiotemporal Gaussian representation-based dynamic reconstruction and motion estimation framework for time-resolved volumetric MR imaging (DREME-GSMR)
DREME-GSMR uses 3D Gaussian representations of anatomy and low-rank motion to reconstruct time-resolved MR volumes at 400 ms resolution and enable 10 ms real-time motion tracking, with reported SSIM of 0.92 and sub-millimeter errors on phantoms and patients.