Voxel-based clustered imaging by multiparameter diffusion tensor images for glioma grading

Voxel-based clustered imaging by multiparameter diffusion tensor images for glioma grading

Gliomas are the most common intra-axial primary brain tumour; therefore, predicting glioma grade would influence therapeutic strategies. Although several methods based on single or multiple parameters from diagnostic images exist, a definitive method for pre-operatively determining glioma grade rem...

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Bibliographic Details
Main Authors: Rika Inano, Naoya Oishi, Takeharu Kunieda, Yoshiki Arakawa, Yukihiro Yamao, Sumiya Shibata, Takayuki Kikuchi, Hidenao Fukuyama, Susumu Miyamoto
Format: Article
Language:English
Published: Elsevier 2014-01-01
Series:NeuroImage: Clinical
Subjects:
Glioma grading
Diffusion tensor imaging
Voxel-based clustering
Self-organizing map
K-means
Support vector machine
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158214001107

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http://www.sciencedirect.com/science/article/pii/S2213158214001107

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