Discriminative analysis of relapsing neuromyelitis optica and relapsing-remitting multiple sclerosis based on two-dimensional histogram from diffusion tensor imaging

CASIA OpenIR > 09年以前成果

	Discriminative analysis of relapsing neuromyelitis optica and relapsing-remitting multiple sclerosis based on two-dimensional histogram from diffusion tensor imaging
	Lin, FC ; Yu, CS ; Jiang, TZ; Li, KC ; Zhu, CZ ; Zhu, WL ; Qin, W ; Duan, YY ; Xuan, Y ; Sun, H ; Chan, P
发表期刊	NEUROIMAGE
	2006-06-01
卷号	31 期号:2 页码:543-549
文章类型	Article
摘要	It is difficult to completely differentiate patients with relapsing neuromyelitis optica (RNMO) from relapsing-remitting multiple sclerosis (RRMS) for their similarities in clinical manifestation. In this study, we proposed a novel approach, using two-dimensional histogram of apparent diffusion coefficient (ADC) and fractional anisotropy (FA) of the brain derived from diffusion tensor imaging (DTI) as classification feature, to discriminate patients with RNMO from RRMS. In this approach, two-dimensional principal component analysis (2D-PCA) was used to extract feature and reduce dimensionality of matrix-formed data efficiently. Then linear discriminant analysis (LDA) was performed on these extracted features to find the best projection direction to separate patients with RNMO from RRMS. Finally, a minimum distance classifier was generated on the basis of projection scores. The correct recognition rate of our method reached 85.7%, validated by the leave-one-out method. This result was much higher than that using feature of ADC or FA separately (59.5% for ADC, 76.2% for FA). In conclusion, the proposed method on the basis of combined features is more effective for classification than those merely using the features separately, and it may be helpful in differentiating RNMO from RRMS patients. (c) 2006 Elsevier Inc. All rights reserved.
关键词	Discriminative Analysis Two-dimensional Pca Diffusion Tensor Imaging Relapsing Neuromyelitis Optica Relapsing Remitting Multiple Sclerosis
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
关键词[WOS]	ALZHEIMERS-DISEASE ; CLINICAL-COURSE ; BRAIN ; CLASSIFICATION ; MRI ; CORD ; PREDICTORS ; GUIDELINES
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:000238232100009
引用统计	被引频次：14[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/173211/9352
专题	09年以前成果
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China 2.Capital Univ Med Sci, Xuanwu Hosp, Dept Radiol, Beijing 100053, Peoples R China 3.Capital Univ Med Sci, Xuanwu Hosp, Dept Neurol, Beijing 100053, Peoples R China 4.Beijing Normal Univ, Natl Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China
推荐引用方式 GB/T 7714	Lin, FC,Yu, CS,Jiang, TZ,et al. Discriminative analysis of relapsing neuromyelitis optica and relapsing-remitting multiple sclerosis based on two-dimensional histogram from diffusion tensor imaging[J]. NEUROIMAGE,2006,31(2):543-549.
APA	Lin, FC.,Yu, CS.,Jiang, TZ.,Li, KC.,Zhu, CZ.,...&Chan, P.(2006).Discriminative analysis of relapsing neuromyelitis optica and relapsing-remitting multiple sclerosis based on two-dimensional histogram from diffusion tensor imaging.NEUROIMAGE,31(2),543-549.
MLA	Lin, FC,et al."Discriminative analysis of relapsing neuromyelitis optica and relapsing-remitting multiple sclerosis based on two-dimensional histogram from diffusion tensor imaging".NEUROIMAGE 31.2(2006):543-549.