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Abstract #1624

Simulation of Respiration-Induced B 0 Shifts in the Heart

Anjali Datta 1 , Reeve Ingle 1 , Bob Hu 1,2 , and Dwight Nishimura 1

1 Electrical Engineering, Stanford University, Stanford, California, United States, 2 Cardiology, Palo Alto Medical Foundation, Palo Alto, California, United States

Respiration-induced B 0 variations 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 0 variations across the breathing cycle and between individuals may be significant. This work suggests that respiration induces spatially-variant B 0 shifts in the heart and that the magnitude and distribution depend on the left ventricular long-axis orientation.

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