Li Yang, Wang Yaping, Xue Zhong, Shi Feng, Lin Weili, Shen Dinggang
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, USA.
Med Image Comput Comput Assist Interv. 2010;13(Pt 2):133-42. doi: 10.1007/978-3-642-15745-5_17.
Accurate and reliable method for measuring the thickness of human cerebral cortex provides powerful tool for diagnosing and studying of a variety of neuro-degenerative and psychiatric disorders. In these studies, capturing the subtle longitudinal changes of cortical thickness during pathological or physiological development is of great importance. For this purpose, in this paper, we propose a 4D cortical thickness measuring method. Different from the existing temporal-independent methods, our method fully utilizes the 4D information given by temporal serial images. Therefore, it is much more resistant to noises from the imaging and pre-processing steps. The experiments on longitudinal image datasets from the Alzheimer's Disease Neuroimaging Initiative (ADNI) show that our method significantly improves the longitudinal stability, i.e. temporal consistency, in cortical thickness measurement, which is crucial for longitudinal study. Power analysis of the correlation between cortical thickness and Mini-Mental-Status-Examination (MMSE) score demonstrated that our method generates statistically more significant results when comparing with the 3D temporal-independent thickness measuring methods.
准确可靠地测量人类大脑皮层厚度的方法为诊断和研究各种神经退行性疾病和精神疾病提供了有力工具。在这些研究中,捕捉病理或生理发育过程中皮层厚度的细微纵向变化至关重要。为此,本文提出了一种四维皮层厚度测量方法。与现有的与时间无关的方法不同,我们的方法充分利用了时间序列图像给出的四维信息。因此,它对成像和预处理步骤产生的噪声具有更强的抵抗力。来自阿尔茨海默病神经成像计划(ADNI)的纵向图像数据集实验表明,我们的方法显著提高了皮层厚度测量中的纵向稳定性,即时间一致性,这对纵向研究至关重要。皮层厚度与简易精神状态检查表(MMSE)评分之间相关性的功效分析表明,与三维与时间无关的厚度测量方法相比,我们的方法在统计上产生的结果更显著。