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Region growing method for the analysis of functional MRI data
Lu, YL; Jiang, TZ; Zang, YF
发表期刊NEUROIMAGE
2003-09-01
卷号20期号:1页码:455-465
文章类型Article
摘要Existing analytical techniques for functional magnetic resonance imaging (fMRI) data always need some specific assumptions on the time series. In this article, we present a new approach for fMRI activation detection, which can be implemented without any assumptions on the time series. Our method is based on a region growing method, which is very popular for image segmentation. A comparison of performance on fMRI activation detection is made between the proposed method and the deconvolution method and the fuzzy clustering method with receiver operating characteristic (ROC) methodology. In addition, we examine the effectiveness and usefulness of our method on real experimental data. Experimental results show that our method outperforms over the deconvolution method and the fuzzy clustering method on a number of aspects. These results suggest that our region growing method can serve as a reliable analysis of fMRI data. (C) 2003 Elsevier Inc. All rights reserved.
WOS标题词Science & Technology ; Life Sciences & Biomedicine
关键词[WOS]INDEPENDENT COMPONENT ANALYSIS ; HUMAN VISUAL-CORTEX ; FMRI TIME-SERIES ; ACTIVATION ; RESPONSES
收录类别SCI
语种英语
WOS研究方向Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS类目Neurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS记录号WOS:000185746400042
引用统计
被引频次:79[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9895
专题09年以前成果
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 1000080, Peoples R China
2.Univ Houston, Dept Comp Sci, Houston, TX 77204 USA
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Lu, YL,Jiang, TZ,Zang, YF. Region growing method for the analysis of functional MRI data[J]. NEUROIMAGE,2003,20(1):455-465.
APA Lu, YL,Jiang, TZ,&Zang, YF.(2003).Region growing method for the analysis of functional MRI data.NEUROIMAGE,20(1),455-465.
MLA Lu, YL,et al."Region growing method for the analysis of functional MRI data".NEUROIMAGE 20.1(2003):455-465.
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