Abstract #4255
Complementary Poisson-Disc Sampling
Evan Levine 1,2 , Manojkumar Saranathan 2 , and Brian Hargreaves 2
1
Electrical Engineering, Stanford University,
Palo Alto, CA, United States,
2
Radiology,
Stanford University, Palo Alto, CA, United States
Many 3D dynamic MRI sequences use stochastic k-t
sampling trajectories with elliptical-centrically
sampled temporal phases. Poisson-disc k-space sampling
is commonly used to balance sampling incoherence for
compressed sensing (CS) and uniformity for g-factor in
parallel imaging. Other temporally-uniform stochastic
sampling patterns are used in approaches such as DISCO
and allow view-sharing, where temporal phases are
complementary and are used to reconstruct composite
images. To allow both view-sharing and CS reconstruction
of dynamic phases, we propose a method for generating
sampling patterns, each with complementary Poisson-disc
sample distributions.
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