Discriminative analysis of relapsing neuromyelitis optica and relapsing-remitting multiple sclerosis based on two-dimensional histogram from diffusion tensor imaging
文献类型：期刊论文
| 作者 | Lin, FC; Yu, CS; Jiang, TZ ; Li, KC; Zhu, CZ; Zhu, WL; Qin, W; Duan, YY; Xuan, Y; Sun, H
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| 刊名 | NEUROIMAGE
 |
| 出版日期 | 2006-06-01 |
| 卷号 | 31期号:2页码:543-549 |
| 关键词 | discriminative analysis two-dimensional PCA diffusion tensor imaging relapsing neuromyelitis optica relapsing remitting multiple sclerosis |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| 类目[WOS] | Neurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging |
| 研究领域[WOS] | Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging |
| 关键词[WOS] | ALZHEIMERS-DISEASE ; CLINICAL-COURSE ; BRAIN ; CLASSIFICATION ; MRI ; CORD ; PREDICTORS ; GUIDELINES |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000238232100009 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9352]  |
| 专题 | 自动化研究所_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. |
入库方式： OAI收割
来源：自动化研究所
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