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Abstract #4290

Assessment of geometric distortion in six clinical scanners using a 3D-Printed Grid Phantom

Maysam M Jafar1, Christopher E Dean1, Malcolm J Birch1, and Marc E Miquel1

1Clinical Physics, Barts Health NHS Trust, City of London, United Kingdom

Major hardware-related geometric distortions in MRI arise from gradient field non-linearity and static field inhomogeneity. For an accurate mapping of geometrical distortion in 3D, the number of control points must be sufficiently large to provide a comprehensive mapping of the spatial variation of distortion and the positional accuracy of these control points must be ensured. In this study, the spatial accuracy of coordinates in 3D space is assessed across six clinical MRI scanners at both 1.5T and 3T field strengths using a previously reported 3D-printed grid phantom. This is a cost-effective approach to determine the spatial accuracy of control points.

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