• DocumentCode
    3158567
  • Title

    Improvement of the detection method for carotid artery calcification in dental panoramic radiographs

  • Author

    Shinjo, Katsuyuki ; Muneyasu, Mitsuji ; Fujita, Kenji ; Asano, Akira ; Taguchi, Akira

  • Author_Institution
    Fac. of Eng. Sci., Kansai Univ., Suita, Japan
  • fYear
    2009
  • fDate
    7-9 Jan. 2009
  • Firstpage
    119
  • Lastpage
    122
  • Abstract
    This paper proposes improvement for the detection method for carotid artery calcification in dental panoramic radiographs. The existence of the carotid artery calcification as an index for arteriosclerosis attracts a great deal of attention. The detection method for carotid artery calcification has been proposed. However the detection rate is about 50% for real data and its improvement should be required. In this paper, the area of the processing window is narrowed to be 300 × 300 pixels. Then we focus on the shape and area of the target region and improve the detection and misdetection rates. From experimental results, the carotid artery calcification region can extract more precisely compared to the conventional method.
  • Keywords
    blood vessels; dentistry; diagnostic radiography; diseases; edge detection; feature extraction; image enhancement; medical image processing; algebraic image operator; arteriosclerosis; blood vessel disease; carotid artery calcification; dental panoramic radiographs; detection method; detection rates; edge extraction; fuzzy image contrast enhancement; processing window; Biomedical imaging; Blood vessels; Carotid arteries; Dentistry; Diagnostic radiography; Diseases; Image edge detection; Pathogens; Shape; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communication Systems, 2009. ISPACS 2009. International Symposium on
  • Conference_Location
    Kanazawa
  • Print_ISBN
    978-1-4244-5015-2
  • Electronic_ISBN
    978-1-4244-5016-9
  • Type

    conf

  • DOI
    10.1109/ISPACS.2009.5383888
  • Filename
    5383888