Abstract #3671
Motion Estimation from Noise Intrinsic Correlation between RF Channels (MECHANICS)
Enhao Gong 1 , Qiyuan Tian 1 , Jennifer A McNab 2 , and John Pauly 1
1
Electrical Engineering, STANFORD UNIVERSITY,
Stanford, California, United States,
2
Radiology,
STANFORD UNIVERSITY, Stanford, California, United States
Accurate and efficient motion estimation is critical in
MRI studies to achieve better anatomical resolution and
faithful physiological analysis. However, most of the
existing quantitative motion estimation methods require
great amount of extra time cost for acquisition,
post-processing, extensive registration or additional
hardware/equipment. Here we propose an innovative method
that accurately estimates motion using the noise
correlation information intrinsically existing in all
multi-channel MRI signals. This approach enables both
real-time and prospective motion estimation without
modifying acquisition or adding equipment. The proposed
method is named: Motion Estimation from Noise Intrinsic
Correlation between RF Channels (MECHANICS)
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