Title
Thalamus segmentation using multi-modal feature classification: Validation and pilot study of an age-matched cohort.
Abstract
Automatic segmentation of the thalamus can be used to measure differences and track changes in thalamic volume that may occur due to disease, injury or normal aging. An automatic thalamus segmentation algorithm incorporating features from diffusion tensor imaging (DTI) and thalamus priors constructed from multiple atlases is proposed. Multiple atlases with corresponding manual thalamus segmentations are registered to the target image and averaged to generate the thalamus prior. At each voxel in a region of interest around the thalamus, a multidimensional feature vector that includes the thalamus prior as well as a set of DTI features, including fractional anisotropy, mean diffusivity, and fiber orientation is formed. A random forest is trained to classify each voxel as belonging to the thalamus or background within the region of interest. Using a leave-one-out cross-validation on nine subjects, the proposed algorithm achieves a mean Dice score of 0.878 and 0.890 for the left and right thalami, respectively, which are higher Dice scores than the three state-of-art methods we compared to. We demonstrate the utility of the method with a pilot study exploring the difference in the thalamus fraction between 21 multiple sclerosis (MS) patients and 21 age-matched healthy controls. The left and right thalamic volumes (normalized by intracranial volumes) are larger in healthy controls by 7.6% and 7.3% respectively, compared to MS patients (though neither result is statistically significant).
Year
DOI
Venue
2017
10.1016/j.neuroimage.2017.06.047
NeuroImage
Keywords
Field
DocType
Thalamus segmentation,Diffusion MRI,Magnetic resonance imaging
Thalamus,Voxel,Diffusion MRI,Cognitive psychology,Artificial intelligence,Random forest,Computer vision,Feature vector,Pattern recognition,Segmentation,Fractional anisotropy,Psychology,Region of interest
Journal
Volume
ISSN
Citations 
158
1053-8119
0
PageRank 
References 
Authors
0.34
19
7
Name
Order
Citations
PageRank
Jeffrey Glaister1203.46
Aaron Carass238343.15
Tziona NessAiver300.34
Joshua Stough4243.72
shiv saidha553.49
Peter A. Calabresi623220.40
Jerry L. Prince74990488.42