Title
Patch-based label fusion segmentation of brainstem structures with dual-contrast MRI for Parkinson's disease.
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder that impairs the motor functions. Both surgical treatment and study of PD require delineation of basal ganglia nuclei morphology. While many automatic volumetric segmentation methods have been proposed for the lentiform nucleus, few have attempted to identify the key brainstem substructures including the subthalamic nucleus (STN), substantia nigra (SN), and red nucleus (RN) due to their small size and poor contrast in conventional T1W MRI.A dual-contrast patch-based label fusion method was developed to segment the SN, STN, and RN using multivariate cross-correlation. Two different MRI contrasts (T2*w and phase) are produced from a multi-contrast multi-echo FLASH MRI sequence, enabling visualization of these nuclei. T1-T2* fusion MRI was used to resolve the issue of poor nuclei (i.e., the STN, SN, and RN) contrast on T1w MRI, and to mitigate susceptibility artifacts that may hinder accurate nonlinear registration on T2*w MRI. Unbiased group-wise registration was used for anatomical normalization between the atlas library and the target subject. The performance of the proposed method was compared with a state-of-the-art single-contrast label fusion technique.The proposed method outperformed a state-of-the-art single-contrast patch-based method in segmenting the STN, RN and SN, and the results were better than those reported in previous literature.Our dual-contrast patch-based label fusion method was superior to a single-contrast method for segmenting brainstem nuclei using a multi-contrast multi-echo FLASH MRI sequence. The method is promising for the treatment and research of Parkinson's disease. This method can be extended for multiple alternative image contrasts and other fields of applications.
Year
DOI
Venue
2015
10.1007/s11548-014-1119-4
International Journal for Computer Assisted Radiology and Surgery
Keywords
Field
DocType
Patch-based label-fusion, Subthalamic nucleus, Substantia nigra, Red nucleus, Susceptibility-weighted imaging, Parkinson’s disease
Parkinson's disease,Lentiform nucleus,Red nucleus,Substantia nigra,Medicine,Subthalamic nucleus,Brainstem,Pathology,Basal ganglia,Susceptibility weighted imaging
Journal
Volume
Issue
ISSN
10
7
1861-6429
Citations 
PageRank 
References 
5
0.41
24
Authors
7
Name
Order
Citations
PageRank
Yiming Xiao150.41
Vladimir S Fonov2130.89
Silvain Beriault350.41
Ian Gerard450.41
Abbas F Sadikot550.41
G Bruce Pike639922.73
D Louis Collins71157.41