腹部X線CT画像を利用した骨粗鬆症のコンピュータ支援診断 : 計測領域の自動抽出およびCT特徴量とBMD値の比較に対する試み  [in Japanese] Computer-aided Diagnosis of Osteoporosis Using Abdominal X-ray CT Images : Preliminary Study of Automated Region Extraction and Comparison between BMD Values and CT Features  [in Japanese]

Author(s)

    • 西原 貞光 NISHIHARA Sadamitsu
    • 広島県立保健福祉大学保健福祉学部放射線学科 Department of Radiological Sciences, Hiroshima Prefectural College of Health Sciences
    • 藤田 広志 FUJITA Hiroshi
    • 岐阜大学大学院医学研究科再生医科学専攻知能イメージ情報部門 Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Science, Graduate School of Medicine, Gifu University
    • 飯田 忠行 [他] IIDA Tadayuki
    • 広島県立保健福祉大学保健福祉学部放射線学科 Department of Radiological Sciences, Hiroshima Prefectural College of Health Sciences
    • 滝川 厚 TAKIGAWA Atsushi
    • 広島県立保健福祉大学保健福祉学部放射線学科 Department of Radiological Sciences, Hiroshima Prefectural College of Health Sciences
    • 原 武史 HARA Takeshi
    • 岐阜大学大学院医学研究科再生医科学専攻知能イメージ情報部門 Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Science, Graduate School of Medicine, Gifu University

Abstract

The purpose of this study was to develop an algorithm that can be used to distinguish the central part of the vertebral body in an abdominal X-ray CT image, and to use that algorithm to automatically calculate three measures that are used to diagnose osteoporosis. In addition, the correlation between the BMD (bone mineral density) and these measures was investigated. We also examined whether the CT images obtained could be used to aid in diagnosing osteoporosis. The abdominal region contained in the third lumbar vertebra was scanned using spiral CT equipment (CT-W950SR : Hitachi). We judged whether female patients had osteoporosis using the diagnostic criteria available (Year 2000 revision. published by the Japanese Society for Bone and Mineral Research : only female data available). Twenty-two female patients, with an age range of 35-79 years (average age : 61.8), were examined. The mean CT number. coefficient of variation, and the first moment of the power spectrum were calculated as measures representing specific features of osteoporosis disease in the recognized vertebral body. We classified three measures obtained from the CT images for normal and abnormal groups using discriminant analysis, and the results obtained from the diagnosis criteria for the two groups were then compared. 0ur results showed that the algorithm could be used to distinguish the central part of the vertebral body in all cases, and to calculate these measures automatically. When the results of the disminant analysis were applied to the three measures obtained from the CT images, the ratio usable for diagnosing a patient as osteoporotic (sensitivity) was 0.79 (11/14), and the ratio usable for diagnosing a patient as normal (specificity) was 0.63 (5/8). Therefore, in conclusion. we believe that this algorithm can be used to aid physicians in diagnosing osteoporosis, utilizing the measures obtained from abdominal X-ray CT images.

Journal

  • Transactions of Japanese Society for Medical and Biological Engineering

    Transactions of Japanese Society for Medical and Biological Engineering 42(1), 7-15, 2004-03-10

    Japanese Society for Medical and Biological Engineering

References:  16

Cited by:  10

Codes

  • NII Article ID (NAID)
    110003988553
  • NII NACSIS-CAT ID (NCID)
    AA11633569
  • Text Lang
    JPN
  • Article Type
    Journal Article
  • ISSN
    1347443X
  • NDL Article ID
    6928585
  • NDL Source Classification
    ZS18(科学技術--医学--医用機械・診断学・検査技術)
  • NDL Call No.
    Z19-108
  • Data Source
    CJP  CJPref  NDL  NII-ELS 
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