• Title/Summary/Keyword: Disk disease recognition Image segmentation

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Automatic Disk Disease Recognition based on Feature Vector in T-L Spine Magnetic Resonance Image (척추 자기 공명 영상에서 특징 벡터에 기반 한 디스크 질환의 자동 인식)

  • 홍재성;이성기
    • Journal of Biomedical Engineering Research
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    • v.19 no.3
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    • pp.233-242
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    • 1998
  • In anatomical aspects, magnetic resonance image offers more accurate information than other medical images such as X ray ultrasonic and CT images. This paper introduces a method that recognizes disk diseases from spine MR images. In this method, image enhancement, image segmentation and feature extraction for sagittal plane and axial plane images are performed to separate the disk region. And then template matching method is used to extract disease region for axial plane imges. Finally, disease feature vectors are integrated and disease discrimination processes are performed. Experimental results show that the proposed method discriminates between normal and diseased disk with a considerable recognition ratio.

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