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抗炎剂治疗的缺血性大鼠脑磁共振图像中的纹理。

Textures in magnetic resonance images of the ischemic rat brain treated with an anti-inflammatory agent.

机构信息

MR Research Centre, Aarhus University Hospital, 8200 Aarhus N, Denmark.

出版信息

Clin Imaging. 2010 Jan-Feb;34(1):7-13. doi: 10.1016/j.clinimag.2009.02.004.

DOI:10.1016/j.clinimag.2009.02.004
PMID:20122513
Abstract

Computer-based analysis of textures in magnetic resonance images provides a higher sensitivity to textural changes that cannot be recognized by the naked human eye. Thus, there is a better potential for identifying pathophysiological processes at an earlier stage or of a different character than even a trained radiologist can find. In the present study, the potential of texture analysis for in vivo identification of the administering effect of an anti-inflammatory drug in cerebral stroke in rats was evaluated. Twenty-seven Wistar rats underwent middle cerebral artery occlusion resulting in local ischemic brain infarct. One group of rats received alpha-melanocyte stimulating hormone (alpha-MSH) and a control group received saline only. T2-weighted images, apparent diffusion maps, and T2 maps were recorded by MR. Texture features were calculated in the T2-weighted images and correlated to the apparent diffusion coefficient (ADC) and the T2 values. From an array of tested texture features three independent features were tested further. Two of which were found to provide a significant discriminative classification between the control and the alpha-MSH groups. Furthermore, the same two texture features were significantly correlated to the ADCs. Thus, quantification of texture features can be helpful in detecting the effects of stroke therapy.

摘要

基于计算机的磁共振图像纹理分析提供了更高的敏感性,可以检测到肉眼无法识别的纹理变化。因此,与训练有素的放射科医生相比,它在更早的阶段或不同的特征中识别病理生理过程的潜力更好。在本研究中,评估了纹理分析在体内识别大鼠脑卒中性抗炎药物给药效果的潜力。27 只 Wistar 大鼠接受大脑中动脉闭塞导致局部缺血性脑梗死。一组大鼠接受α-黑素细胞刺激素(α-MSH),对照组仅接受生理盐水。通过 MR 记录 T2 加权图像、表观扩散图和 T2 图。在 T2 加权图像中计算纹理特征,并与表观扩散系数(ADC)和 T2 值相关联。从测试的纹理特征数组中,进一步测试了三个独立的特征。其中两个特征被发现可以在对照组和α-MSH 组之间进行显著的分类。此外,这两个纹理特征与 ADC 显著相关。因此,纹理特征的定量分析有助于检测卒中治疗的效果。

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