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Abstract #3727

A Regularly Structured 3D Printed Grid Phantom for Quantification of MRI Image Distortion

Maysam Mahmood Jafar 1 , Christopher Dean 2 , Malcolm J Birch 1 , and Marc E Miquel 1

1 Medical Physics, Barts Health NHS Trust, London, London, United Kingdom, 2 Radiotherapy, Barts Health NHS Trust, London, London, United Kingdom

Radiotherapy treatment planning (RTTP) necessitates accurate delineation of tumor volume and adjacent structures at risk. Magnetic resonance imaging (MRI) offers superior soft-tissue contrast compared with CT but suffers from inherent geometric distortions. The problem is exacerbated at higher field strengths where there is an increase in inhomogeneties in the main B0 magnetic field as well as the B1 RF field. Furthermore, non-linearities in the applied gradients add a further element to these distortions. In this study, we propose a cost-effective regularly structured three-dimensional 3D printed grid phantom, which enables one to quantify machine-related MR distortion by comparing the locations of corresponding features in both MR and CT data sets.

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