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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