Statistical atlas of acute stroke from magnetic resonance diffusion-weighted-images of the brain

被引：7

作者：

Bilello, Michel ^{[1
]}

Lao, Zhiqiang ^{[1
]}

Krejza, Jaroslaw ^{[1
,2
]}

Hillis, Argye E. ^{[2
]}

Herskovits, Edward H. ^{[1
]}

机构：

[1] Hosp Univ Penn, Dept Radiol, Philadelphia, PA 19104 USA

[2] Med Univ Gdansk, Dept Radiol, Gdansk, Poland

来源：

NEUROINFORMATICS | 2006年 / 4卷 / 03期

关键词：

stroke; atlas; MRI; diffusion weighted; computer-aided; image processing; statistical;

D O I：

10.1385/NI:4:3:235

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This study presents a method for computing a probabilistic atlas that describes the spatial distributions of acute infarcts of the brain. The data consisted of diffusion-weighted-images (DWI) and high-resolution T1-weighted MR images representing 22 studies from 22 subjects. All DWI data sets contained high-intensity lesions on B-1000 maps, known from clinical history to be related to acute stroke. To compute the atlas, manually segmented infarcts on original DWI were spatially transformed and registered to a common coordinate system. This coordinate system allowed combining all lesions into a statistical atlas in the model space. As a result, the computed probabilistic map showed mild left-sided predominance of brain infarcts, which likely represents asymmetry in eloquence of brain regions. In our opinion, the statistical atlas of acute brain infarcts can facilitate computer-based detection of stroke in large image data sets.

引用

页码：234 / 242

页数：8

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