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

《国家中心数据管理与共享系统操作说明书 —— 研究者部分》

Automated quantification of white matter lesion in magnetic resonance imaging of patients with acute infarction

First author：Shi, Lin

Corresponding author：Wang, Yongjun

essential_information

  • Person in charge：Shi, Lin
  • Data Sources： CICAS
  • Number of papers：CICAS20150096
  • Published time：2012-12-25

2012-12-25

Published articles

Journal：J Neurosci Methods

Publication type: Original Contributions

IF(IF): 2.025

PMID:

Background And Purpose

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.

Method

Conclusion

Main results