Paper Info
Title
Local Directional Probability Optimization for Quantification of Blurred Gray/White Matter Junction in Magnetic Resonance Image.
Abstract
The blurred gray/white matter junction is an important feature of focal cortical dysplasia (FCD) lesions. FCD is the main cause of epilepsy and can be detected through magnetic resonance (MR) imaging. Several earlier studies have focused on computing the gradient magnitude of the MR image and used the resulting map to model the blurred gray/white matter junction. However, gradient magnitude cannot quantify the blurred gray/white matter junction. Therefore, we proposed a novel algorithm called local directional probability optimization (LDPO) for detecting and quantifying the width of the gray/white matter boundary (GWB) within the lesional areas. The proposed LDPO method mainly consists of the following three stages: (1) introduction of a hidden Markov random field-expectation-maximization algorithm to compute the probability images of brain tissues in order to obtain the GWB region; (2) generation of local directions from gray matter (GM) to white matter pm) passing through the GWB, considering the GWB to be an electric potential field; (3) determination of the optimal local directions for any given voxel of GVVB, based on iterative searching of the neighborhood. This was then used to measure the width of the GWB. The proposed LDPO method was tested on real MR images of patients with FCD lesions. The results indicated that the LDPO method could quantify the GWB width. On the GWB width map, the width of the blurred GWB in the lesional region was observed to be greater than that in the non-lesional regions. The proposed GWB width map produced higher F-scores in terms of detecting the blurred GWB within the FCD lesional region as compared to that of FCD feature maps, indicating better trade-off between precision and recall.
Year
DOI
Venue
2017
10.3389/fncom.2017.00083
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
Keywords
Field
DocType
epilepsy,focal cortical dysplasia,magnetic resonance images,blurred gray/white matter junction,feature computation
Voxel,White matter,Computer science,Artificial intelligence,Cortical dysplasia,Computer vision,Pattern recognition,Precision and recall,Gradient magnitude,Hidden Markov model,Machine learning,Gray (unit),Magnetic resonance imaging
Journal
Volume
ISSN
Citations 
11
1662-5188
0
PageRank 
References 
Authors
0.34
13
8
Name
Order
Citations
PageRank
Xiaoxia Qu111.71
Jian Yang228348.62
Danni Ai34514.78
Hong Song469.57
Luosha Zhang501.01
Yongtian Wang645673.00
Tingzhu Bai711.37
Wilfried Philips81476124.85