国家神经系统疾病临床医学研究中心数据管理与共享系统

Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases

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

基本信息

  • 负责人:Shi, Lin
  • 数据来源: CICAS
  • 论文编号:CICAS20150096
  • 发表时间:2012-12-25

2012-12-25

已发表文章

发表杂志:J Neurosci Methods

发表类型: Original Contributions

影响因子(IF): 2.025

PMID:

主要研究背景及目的

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.

方法

结论

主要结果