摘要
正电子发射断层扫描(PET)提供了一种功能性成像方式来检测人的大脑痴呆的迹象。二维经验模式分解(2d-EMD)提供了分析这种图像的方法。它分解为后来特征模式代表了在不同的空间尺度的纹理。这些纹理为后续的分类目的提供信息功能。本研究提出了一种依赖于格林函数的新EMD变异估计方法,它基于估计方法,包括张力参数快速和可靠地估计包络曲面插值的图像的二维强度分布的极值点。新的方法是一种加快计算约100倍的快速、稳定的二维经验模态分解。结合适当的分类,这些探索性的特征提取技术,可以形成一个计算机辅助诊断系统,以帮助临床医生在识别各种疾病的功能性图像。患阿尔茨海默氏病受试者的PET图像被采取来说明这个能力。
关键词: 阿尔茨海默病,经验模式分解,格林函数,支持向量机,射频。
Current Alzheimer Research
Title:Functional Biomedical Images of Alzheimer's Disease a Green's Functionbased Empirical Mode Decomposition Study
Volume: 13 Issue: 6
Author(s): S. Al-Baddai, A. Neubauer, A.M. Tomé, V. Vigneron, D. Salas-Gonzalez, J.M. Górriz, C.G. Puntonet and E.W. Lang, the Alzheimer's Disease Neuroimaging Initiative
Affiliation:
关键词: 阿尔茨海默病,经验模式分解,格林函数,支持向量机,射频。
摘要: Positron emission tomography (PET) provides a functional imaging modality to detect signs of dementias in human brains. Two-dimensional empirical mode decomposition (2D-EMD) provides means to analyze such images. It decomposes the latter into characteristic modes which represent textures on different spatial scales. These textures provide informative features for subsequent classification purposes. The study proposes a new EMD variant which relies on a Green's function based estimation method including a tension parameter to fast and reliably estimate the envelope hypersurfaces interpolating extremal points of the twodimensional intensity distrubution of the images. The new method represents a fast and stable bi-dimensional EMD which speeds up computations roughly 100-fold. In combination with proper classifiers these exploratory feature extraction techniques can form a computer aided diagnosis (CAD) system to assist clinicians in identifying various diseases from functional images alone. PET images of subjects suffering from Alzheimer's disease are taken to illustrate this ability.
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Cite this article as:
S. Al-Baddai, A. Neubauer, A.M. Tomé, V. Vigneron, D. Salas-Gonzalez, J.M. Górriz, C.G. Puntonet and E.W. Lang, the Alzheimer's Disease Neuroimaging Initiative , Functional Biomedical Images of Alzheimer's Disease a Green's Functionbased Empirical Mode Decomposition Study, Current Alzheimer Research 2016; 13 (6) . https://dx.doi.org/10.2174/1567205013666160322141726
DOI https://dx.doi.org/10.2174/1567205013666160322141726 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
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