Paper Info
Title
Atlas-Based Segmentation For Globus Pallidus Internus Targeting On Low-Resolution Mri
Abstract
In this paper we report a method to automatically segment the internal part of globus pallidus (GPi) on the preoperative 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.
Year
DOI
Venue
2011
10.1109/IEMBS.2011.6091381
2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Keywords
Field
DocType
accuracy,magnetic resonance imaging,spline,low resolution,computer simulation,magnetic resonance image,high resolution,image segmentation,image resolution,three dimensional,algorithms,image registration
Affine transformation,Computer vision,Globus pallidus,Computer science,Segmentation,Image segmentation,Atlas (anatomy),Artificial intelligence,Image resolution,Image registration,Magnetic resonance imaging
Conference
Volume
ISSN
Citations 
2011
1557-170X
1
PageRank 
References 
Authors
0.34
2
11
Name
Order
Citations
PageRank
Iacono Maria I110.34
Makris Nikos210.34
Mainardi Luca310.34
Gale John410.34
van der Kouwe Andre510.34
Mareyam Azma630.86
Jonathan R. Polimeni797250.64
Lawrence L Wald8898.35
Fischl Bruce910.34
Emad N Eskandar1031.12
Bonmassar Giorgio1110.34