Abstract #2061
Interactions between Physiological Noise Correction and GRAPPA Reconstruction in EPI Data
R. Allen Waggoner 1 , Zhentao Zuo 2 , Yan Zhuo 2 , Topi Tanskanen 1 , Kenichi Ueno 3 , Keiji Tanaka 1 , and Kang Cheng 1,3
1
Laboratory for Cognitive Brain Mapping,
RIKEN - Brain Science Institute, Wako-shi, Saitama,
Japan,
2
State
Key Laboratory of Brain and Cognitive Science,Beijing
MRI Center for Brain Research, Institute of Biophysics,
Chinese Academy of Sciences, Beijing, Beijing, China,
3
RRC,
RIKEN - Brain Science Institute, Wako-shi, Saitama,
Japan
Physiological noise correction (PNC) is now commonly
used to minimize the variance in fMRI data. The
correction is most often performed in image space,
however this methodology was originally developed as a
k-space based correction. GRAPPA is widely used to
accelerate data acquisition. The ACS lines are usually
acquired separately, however this temporal mismatch
could allow physiological noise to degrade the GRAPPA
reconstruction. To explore the influence of
physiological noise on GRAPPA reconstruction, we have
applied PNC at various points in the processing pipeline
of both normal GRAPPA reconstructed EPI data and data
with temporally updated GRAPPA weights (tGRAPPA).
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