Title
Improved labeling of subcortical brain structures in atlas-based segmentation of magnetic resonance images.
Abstract
Precise labeling of subcortical structures plays a key role in functional neurosurgical applications. Labels from an atlas image are propagated to a patient image using atlas-based segmentation. Atlas-based segmentation is highly dependent on the registration framework used to guide the atlas label propagation. This paper focuses on atlas-based segmentation of subcortical brain structures and the ...
Year
DOI
Venue
2012
10.1109/TBME.2011.2122306
IEEE Transactions on Biomedical Engineering
Keywords
Field
DocType
Image segmentation,Brain,Measurement,Databases,Accuracy,Labeling,Algorithm design and analysis
Affine transformation,Computer vision,Scale-space segmentation,Computer science,Segmentation,Image segmentation,Atlas (anatomy),Artificial intelligence,Image registration,Statistical hypothesis testing,Magnetic resonance imaging
Journal
Volume
Issue
ISSN
59
7
0018-9294
Citations 
PageRank 
References 
4
0.40
31
Authors
3
Name
Order
Citations
PageRank
Siamak Yousefi18613.41
Nasser D. Kehtarnavaz253466.02
Ali Gholipour344737.90