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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
Source PublicationNEUROIMAGE
2006-06-01
Volume31Issue:2Pages:543-549
SubtypeArticle
AbstractIt 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.
KeywordDiscriminative Analysis Two-dimensional Pca Diffusion Tensor Imaging Relapsing Neuromyelitis Optica Relapsing Remitting Multiple Sclerosis
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordALZHEIMERS-DISEASE ; CLINICAL-COURSE ; BRAIN ; CLASSIFICATION ; MRI ; CORD ; PREDICTORS ; GUIDELINES
Indexed BySCI
Language英语
WOS Research AreaNeurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectNeurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000238232100009
Citation statistics
Cited Times:14[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9352
Collection09年以前成果
Affiliation1.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
Recommended Citation
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.
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