AUTOMATED RELIABLE LABELING OF THE CORTICAL SURFACE.

AUTOMATED RELIABLE LABELING OF THE CORTICAL SURFACE.
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皮质表面的自动可靠标记。

DOI:
10.1109/isbi.2008.4541027
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发表时间:
2008
期刊:
Proceedings. IEEE International Symposium on Biomedical Imaging
影响因子:
--
通讯作者:
Prince,JerryL
Prince,JerryL
中科院分区:
--
文献类型:
--
作者:
Wan,Jing;Carass,Aaron;Resnick,SusanM;Prince,JerryL

文献摘要

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在结构磁共振图像(MRI)中准确可靠地标记感兴趣区域(ROI)是组分析中的重要步骤。组配准并不总是产生同源区域的准确比对。我们提出了一种方法,区别于其他算法关注的标签,这是最高的保真度,同时留下模糊的区域未标记。未被视为可靠标记的区域不包括在组统计中。我们将提出的结果表明,我们的方法是传统的多图集投票计划的改进。我们得出结论,在正常老化的皮质厚度的纵向趋势的试点研究。
Accurate and reliable labeling of regions of interest (ROIs) within structural magnetic resonance images (MRIs) is an important step in group analysis. Group registration does not always yield accurate alignment of homologous regions. We present an approach that distinguishes itself from other algorithms by being concerned with a label which is of the highest fidelity, while leaving ambiguous regions unlabeled. Regions that are not deemed to be reliably labeled are not included in group statistics. We will present results showing that our method is an improvement over traditional multi-atlas voting schemes. We conclude with a pilot study of longitudinal trends of cortical thickness in normal aging.
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