자기공명영상에서 신경회로망을 이용한 뇌경색의 시기 분류기 구현
Abstract : In this study, we conducted on neural network classifier for the steps of the cerebral infarction by means of objective-centered hierachial planning. A neural network classifier for the steps of cerebral infarction designed specially feature descriptors to distinguish hyperacute, acute, subacute in MR images. And using error back-propagation method for objective interpretation of the cerebral infarction steps. We expect thar this study performed as well as human experts and could br useful as clinical decision support tool for brain infarction patients. DWI(diffusion weighted image) is very exact for early diagnosis. We assumed period of infarction occurrence period condition of a disease to compare to analysis between region of disease and normal region in DWI, T2WI, FLAIR images. keyword : Brain infarction, Diffusion, Magnetic Resonance Image
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