Positron emission tomography (PET) images are acquired for many purposes, from diagnostic assessment to aiding in
the development of novel therapies. Whatever the intended use, it is often necessary to distinguish between different
anatomical regions within these images. Because of this, magnetic resonance images (MRIs) are generally acquired to
provide an anatomical reference. This reference will only be accurate if the PET image is properly coregistered to the
MRI; yet currently, a method to evaluate PET-MRI coregistration accuracy does not exist. This problem is compounded
by the fact that two visually indistinguishable coregistration results can produce estimates of ligand binding that vary
significantly. Therefore, the focus of this work was to develop a method that can evaluate coregistration performance
based on measured ligand binding within certain regions of the coregistered PET image. The evaluation method is based
on the premise that a more accurate coregistration will result in higher ligand binding in certain anatomical regions
defined by the MRI. This fully automated method was able to assess coregistration results within the variance of an
expert manual rater and shows promise as a possible coregistration cost function.
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