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Abstract #0409

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

1 Centre for Advanced Biomedical Imaging, UCL, London, UK, United Kingdom, 2 Centre 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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