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Abstract #3398

Biophysical simulations of the BOLD fMRI signal using realistic imaging gradients: Understanding macrovascular contamination in Spin-Echo EPI

Avery JL Berman1,2, Avery JL Berman1,2, Fuyixue Wang1,3, Kawin Setsompop4,5, J. Jean Chen6,7, and Jonathan R Polimeni1,2,3
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, 4Department of Radiology, Stanford University, Palo Alto, CA, United States, 5Department of Electrical Engineering, Stanford University, Palo Alto, CA, United States, 6Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada, 7Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada

We introduce simulations of the BOLD signal that incorporate realistic image encoding gradients to help better understand the role the acquisition window plays on BOLD contrast. We applied this framework to examine the well-known macrovascular R2' contamination in spin-echo EPI BOLD signals as a function of readout duration, vessel diameter, and voxel size using randomly oriented cylinders. To understand large-vessel effects, more realistic anatomy is needed; therefore, we added a large pial vein to random microvascular networks to systematically investigate macrovascular contamination along cortical depths and across columns. This framework reproduced experimentally established results related to the acquisition window duration.

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