Application of a machine learning method to whole brain white matter injury after radiotherapy for nasopharyngeal carcinoma

Application of a machine learning method to whole brain white matter injury after radiotherapy for nasopharyngeal carcinoma

Abstract Background The purpose/aim of this study was to 1) use magnetic resonance diffusion tensor imaging (DTI), fibre bundle/tract-based spatial statistics (TBSS) and machine learning methods to study changes in the white matter (WM) structure and whole brain WM network in different periods of th...

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Bibliographic Details
Main Authors: Xi Leng, Peng Fang, Huan Lin, Chunhong Qin, Xin Tan, Yi Liang, Chi Zhang, Hongzhuo Wang, Jie An, Donglin Wu, Qihui Liu, Shijun Qiu
Format: Article
Language:English
Published: BMC 2019-03-01
Series:Cancer Imaging
Subjects:
Diffusion tensor imaging
Radiation injuries
Nasopharyngeal carcinoma
Online Access:http://link.springer.com/article/10.1186/s40644-019-0203-y

Internet

http://link.springer.com/article/10.1186/s40644-019-0203-y

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