title: Discriminative analysis of relapsing neuromyelitis optica and relapsing-remitting multiple sclerosis based on two-dimensional histogram from diffusion tensor imaging.
abstract: 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.
authors.affiliation: National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, PR China.
authors.forename: Fuchun
authors.initials: F
authors.lastname: Lin
authors.forename: Chunshui
authors.initials: C
authors.lastname: Yu
authors.forename: Tianzi
authors.initials: T
authors.lastname: Jiang
authors.forename: Kuncheng
authors.initials: K
authors.lastname: Li
authors.forename: Chaozhe
authors.initials: C
authors.lastname: Zhu
authors.forename: Wanlin
authors.initials: W
authors.lastname: Zhu
authors.forename: Wen
authors.initials: W
authors.lastname: Qin
authors.forename: Yunyun
authors.initials: Y
authors.lastname: Duan
authors.forename: Yun
authors.initials: Y
authors.lastname: Xuan
authors.forename: Hong
authors.initials: H
authors.lastname: Sun
authors.forename: Piu
authors.initials: P
authors.lastname: Chan
mesh_terms: D038524:Diffusion Magnetic Resonance Imaging; D016002:Discriminant Analysis; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008297:Male; D009471:Neuromyelitis Optica / Q000145:classification / Q000473:pathology*; D012008:Recurrence