Automated quantification of white matter lesion in magnetic resonance imaging of patients with acute infarction
第一作者:Shi, Lin
通讯作者:Wang, Yongjun
2012-12-25
发表杂志:J Neurosci Methods
发表类型: Original Contributions
影响因子(IF): 2.025
PMID:
PURPOSE: It has been reported that increased white matter lesions (WML) is one of the risk factors for stroke. To quantify WML objectively with the presence of acute infarcts, we proposed an automated segmentation scheme to locate WMLs in combined T1-weighted MRI, fluid attenuation inversion recovery (FLAIR) and diffusion weighted imaging (DWI). MATERIALS AND METHODS: The proposed method detects WMLs by a coarse-to-fine mathematical morphology method. It has been evaluated quantitatively and qualitatively using voxel-based, volume-based, score-based, and atlas-based approaches on MRI data of 91 subjects with acute infarction.