Is your system calibrated? MRI gradient system calibration for pre-clinical imaging
James Martin O'Callaghan 1 , Jack Wells 1 , Simon Richardson 1 , Holly Holmes 1 , Yichao Yu 1 , Bernard Siow 1,2 , and Mark Lythgoe 1
Centre for Advanced Biomedical Imaging, UCL,
London, UK, United Kingdom,
for Medical Image Computing, UCL, UK, United Kingdom
In this study, we present a gradient calibration
protocol, together with an open source phantom, for the
correction of errors caused by imaging gradients that
can be easily implemented in pre-clinical MRI
environments. Mean gradient scaling errors were reduced
from 2.7% to 0.3% through a system calibration which may
be significant in studies of murine brain volumetrics.
Displacements of greater than 100m were detected in
imaging regions affected by gradient non-linearity and
corrected through a post processing correction.
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