MAP-MRI diffusion estimates are biased by simultaneous multi-slice acceleration
L. Tugan Muftuler1, Andrew S. Nencka2, Volkan E. Arpinar2, Jaemin Shin3, Baolian Yang4, Graeme McKinnon4, Suchandrima Banerjee5, and Kevin M. Koch2
1Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States, 2Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 3GE Healthcare, New York, NY, United States, 4GE Healthcare, Waukesha, WI, United States, 5GE Healthcare, Menlo Park, CA, United States
Advanced diffusion MRI models are being explored to study the complex microstructure of the brain with higher accuracy. However, these techniques require long acquisition times. Simultaneous multi-slice (SMS) accelerates data acquisition by exciting multiple image slices simultaneously and separating the overlapping slices using a mathematical model. However, SMS acceleration introduces increased noise in reconstructed images and crosstalk between simultaneously excited slices. These compounded effects from SMS acceleration could affect tissue microstructure parameters derived from advanced diffusion MRI models.
This abstract and the presentation materials are available to members only;
a login is required.