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Discriminative analysis of neuromyelitis optica using two-dimensional histogram from diffusion tensor imaging

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机构： [a]National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy Sciences,Beijing 10080,China [b]Department of Radiology, Xuanwu Hospital, Capital University Medical Sciences,Beijing 10053,China [c]Department of Neurology, Xuanwu Hospital, Capital University Medical Sciences,Beijing 10053,China [d]State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences,Wuhan 430071,China

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关键词： Diffusion tensor imaging Discriminative analysis Eigenimages Neuromyelitis optica

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Neuromyelitis optica (NMO) generally has no visible brain lesions. However, occult damage of brain tissue has been investigated through magnetization transfer imaging and diffusion tensor imaging (DTI). In this paper, we discriminate patients with NMO from healthy subjects based on the two-dimensional histogram of apparent diffusion coefficient (ADC) and fractional anisotropy (FA) of the brain derived from DTI. The correct recognition rate is 89.5%, validated by the leave-one-out method. This result was much higher than that using one feature separately (68.4% for FA, 73.7% for ADC). Eigenimages, which reflect the discriminative pattern of NMO patients from healthy subjects, are also generated. Diffuse damage in brain tissue of NMO is detected from these eigenimages. In conclusion, the information from two-dimensional histogram can discriminate NMO patients from healthy subjects. Moreover, eigenimages can to some extent reflect discriminative regions between NMO patients and normal controls, and these discriminative regions will be useful in understanding the mechanism of NMO. © 2007 IEEE.

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第一作者机构： [d]State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences,Wuhan 430071,China

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