Abstract #4296
Interactive Visualization of 4D Coronary MRI with Prolonged Acquisition Window: GPU-Accelerated Flexible Gridding Reconstruction for Lag-Free Performance
Keigo Kawaji 1 , Sebastien Roujol 1 , Warren J Manning 1,2 , and Reza Nezafat 1
1
Medicine, Beth Israel Deaconess Medical
Center and Harvard Medical School, Boston, MA, United
States,
2
Radiology,
Beth Israel Deaconess Medical Center and Harvard Medical
School, Boston, MA, United States
A novel coronary imaging method that allows cardiac
motion assessment within the acquisition window of the
k-space segmented volume has recently been proposed
using 3D stack-of-stars (SOS) with golden-angle-derived
interleaving for encoding temporal information within
different segments of the acquisition window. However,
non-Cartesian radial reconstructions are typically
unsuitable for immediate visualization due to the
computationally expensive gridding operation. This step
may bottleneck the visualization and disturb the
workflow for interactive clinical assessment. We have
developed an accelerated reconstruction workflow that
uses a graphic processing unit (GPU) for rapid gridding
of the acquired radial data, and examine its
implementation and performance.
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