Automatic Detection of White Matter Hyperintensities in Healthy Aging and Pathology Using Magnetic Resonance Imaging: A Review.
Automatic Detection of White Matter Hyperintensities in Healthy Aging and Pathology Using Magnetic Resonance Imaging: A Review.
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DOI：
10.1007/s12021-015-9260-y
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发表时间：
2015-07
期刊：
影响因子：
3
通讯作者：
Cherubini, Andrea
中科院分区：
文献类型：
--
作者：
Caligiuri, Maria Eugenia;Perrotta, Paolo;Augimeri, Antonio;Rocca, Federico;Quattrone, Aldo;Cherubini, Andrea
关键词：
白色高信号（WMH）常见于健康老年受试者和患有多种神经和血管疾病的患者的大脑中。一个真正可靠的和完全自动化的方法来定量评估WMH的磁共振成像（MRI）尚未确定。在本文中，我们回顾和比较了大量的自动化方法提出的分割WMH在老年人和血管危险因素的患者。我们的结论是，为了避免伪影并排除可能影响分析的几个偏差来源，最佳方法应包括对图像进行仔细的预处理，基于多模态、互补数据，考虑有关病变的空间信息并纠正假阳性。所有这些特征不应排除计算的精简性和对可用数据的适应性。本文的在线版本（doi：10.1007/s12021-015-9260-y）包含补充材料，可供授权用户使用。
White matter hyperintensities (WMH) are commonly seen in the brain of healthy elderly subjects and patients with several neurological and vascular disorders. A truly reliable and fully automated method for quantitative assessment of WMH on magnetic resonance imaging (MRI) has not yet been identified. In this paper, we review and compare the large number of automated approaches proposed for segmentation of WMH in the elderly and in patients with vascular risk factors. We conclude that, in order to avoid artifacts and exclude the several sources of bias that may influence the analysis, an optimal method should comprise a careful preprocessing of the images, be based on multimodal, complementary data, take into account spatial information about the lesions and correct for false positives. All these features should not exclude computational leanness and adaptability to available data. The online version of this article (doi:10.1007/s12021-015-9260-y) contains supplementary material, which is available to authorized users.
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DOI：
10.1136/bmj.c3666
发表时间：
2010-07-26
期刊：
BMJ (Clinical research ed.)
影响因子：
--
作者：
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通讯作者：
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影响因子：
11
作者：
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影响因子：
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通讯作者：
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影响因子：
5.7
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通讯作者：
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影响因子：
9.9
作者：
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通讯作者：
Greenberg, SM