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Abstract #3947

Improving k-space physiological noise correction with motion correction in fMRI studies

Chisato Suzuki1, R. Allen Waggoner2, Kenji Haruhana2, Keiji Tanaka1,2, and Kenichi Ueno1

1fMRI support unit, RIKEN Center for Brain Science, Wako-shi, Japan, 2Laboratory for Cognitive Brain Mapping, RIKEN Center for Brain Science, Wako-shi, Japan

Although physiological noise correction could improve the signal quality, the signal contamination caused by subject motion would affect the ability to remove the noise. This study aims to characterize the impact of motion on the physiological noise correction in k-space and improve k-space physiological noise correction performance. The strength of motion significantly influenced the average tSNR after k-space physiological noise correction. By removing motion effect in advance, it is possible to make k-space physiological noise correction more effective.

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