Conf Proc IEEE Eng Med Biol Soc. 2011;2011:5706-9 doi: 10.1109/IEMBS.2011.6091381.

Atlas-based segmentation for globus pallidus internus targeting on low-resolution MRI

Iacono MI, Makris N, Mainardi L, Gale J, van der Kouwe A, Mareyam A, Polimeni JR, Wald LL, Fischl B, Eskandar EN, Bonmassar G.

Abstract

In this paper we report a method to automatically segment the internal part of globus pallidus (GPi) on the pre-operative low-resolution magnetic resonance images (MRIs) of patients affected by Parkinson's disease. Herein we used an ultra-high resolution human brain dataset as electronic atlas of reference on which we segmented the GPi. First, we registered the ultra-high resolution dataset on the low-resolution dataset using a landmarks-based rigid registration. Then an affine and a non-rigid surface-based registration guided by the structures that surround the target was applied in order to propagate the labels of the GPi on the low-resolution un-segmented dataset and to accurately outline the target. The mapping of the atlas on the low-resolution MRI provided a highly accurate anatomical detail that can be useful for localizing the target.

PMID: 22255635