Linear normalization of MR brain images in pediatric patients with periventricular leukomalacia
Linear normalization of MR brain images in pediatric patients with periventricular leukomalacia
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DOI：
10.1016/j.neuroimage.2006.12.037
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发表时间：
2007-04-01
期刊：
影响因子：
5.7
通讯作者：
Stiers, Peter
中科院分区：
文献类型：
--
作者：
Machilsen, Bart;d'Agostino, Emiliano;Stiers, Peter
从归一化算法的成功率和准确性方面评估了因脑室周围白质软化症（PVL）导致的结构异常的儿童脑图像线性归一化的可行性。对健康成人受试者的 10 幅 T1 加权大脑图像和儿童（411 岁）的 51 幅 T1 加权大脑图像进行线性转换，以实现与标准 MNI 大脑模板的空间配准。 12 名儿童脑部图像放射学正常，22 名显示 PVL，17 名显示 PVL 伴有侧脑室进一步扩大。评估了对标准化过程进行简单修改的效果：更改初始方向和缩放参数、屏蔽非大脑区域、平滑图像以及使用儿科模板代替 MNI 模板。通过改变初始缩放参数和消除背景噪声来减少归一化失败。仅当从图像中去除背景噪声时，归一化算法的整体性能才会得到改善。结果表明，PVL 影响的脑图像的线性标准化是可行的。 (c) 2007 Elsevier Inc. 保留所有权利。
The feasibility of linear normalization of child brain images with structural abnormalities due to periventricular leukomalacia (PVL) was assessed in terms of success rate and accuracy of the normalization algorithm. Ten T1-weighted brain images from healthy adult subject and 51 from children (411 years of age) were linearly transformed to achieve spatial registration with the standard MNI brain template. Twelve of the child brain images were radiologically normal, 22 showed PVL and 17 showed PVL with additional enlargement of the lateral ventricles. The effects of simple modifications to the normalization process were evaluated: changing the initial orientation and zoom parameters, masking non-brain areas, smoothing the images and using a pediatric template instead of the MNI template. Normalization failure was reduced by changing the initial zoom parameters and by removing background noise. The overall performance of the normalization algorithm was only improved when background noise was removed from the images. The results show that linear normatization of PVL affected brain images is feasible. (c) 2007 Elsevier Inc. All rights reserved.