Simulation of Respiration-Induced B 0 Shifts in the Heart
Anjali Datta 1 , Reeve Ingle 1 , Bob Hu 1,2 , and Dwight Nishimura 1
Electrical Engineering, Stanford University,
Stanford, California, United States,
Palo Alto Medical Foundation, Palo Alto, California,
are of interest because they may lead to off-resonance
artifacts in free-breathing acquisitions and may
contribute to variable image quality across patients.
Using the XCAT1 4D computational phantom to generate
susceptibility models, we simulate the main field map
over the heart in several respiratory frames and in
different anatomies to determine if B
across the breathing cycle and between individuals may
be significant. This work suggests that respiration
induces spatially-variant B
in the heart and that the magnitude and distribution
depend on the left ventricular long-axis orientation.
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