The concurrent field monitoring has been proposed to eliminate image artifacts in diffusion imaging introduced by the long lasting eddy currents from the diffusion-encoding gradients. In this work we investigated the effects of field monitoring system on HARDI and applied the improved HARDI data to cortical parcellation. We showed that the field monitoring improved the HARDI data quality especially in anterior/posterior poles of the brain and air-tissue interfaces. This regional improvement was also clear in the cortical classification results, where the field monitoring improved the accuracy of the V1/V2 by 3%, compared to ~0.5% in the motor strip.
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