• DocumentCode
    599035
  • Title

    Thermographic image analysis method in detection of canine bone cancer (osteosarcoma)

  • Author

    Amini, Milad ; Peng Liu ; Umbaugh, S.E. ; Marino, D.J. ; Loughin, C.A.

  • Author_Institution
    Comput. Vision & Image Process. Lab., Southern Illinois Univ. Edwardsville (SIUE), Edwardsville, IL, USA
  • fYear
    2012
  • fDate
    16-18 Oct. 2012
  • Firstpage
    485
  • Lastpage
    489
  • Abstract
    Bone cancer is a pathologic condition which may occur for both humans and canines. This tumor develops quickly from within the bone tissue and become painful as it grows outward. A metastasized bone tumor may be cured by amputation, otherwise it will be fatal. The current diagnostic imaging methods for bone cancer are X-rays, Computed Tomography scan (CT scan), and Magnetic Resonance Imaging (MRI). The disadvantages of these methods include not enough detail in X-ray images, high dose of radiation from CT scans, and high expense of the time-consuming MRI method. In most of the bone cancer cases, when this tumor is detected by these imaging methods, it has already metastasized. The study is to investigate whether it is possible to detect canine bone cancer by thermography imaging. This alternative imaging method will decrease diagnostic time, expenses and prevent radiation exposure. The best classification success rate obtained in this study is 80.77%.
  • Keywords
    biological tissues; biomedical MRI; bone; cancer; computerised tomography; image classification; infrared imaging; medical image processing; CT scan; MRI method; X-ray images; bone tissue; canine bone cancer detection; computed tomography scan; decrease diagnostic time; decrease expenses; diagnostic imaging methods; magnetic resonance imaging; metastasized bone tumor; osteosarcoma; pathologic condition; radiation exposure prevention; thermographic image analysis method; thermography imaging; Bones; Cancer; Feature extraction; Histograms; Image color analysis; Pattern classification; Software; CVIPtools; bone cancer; feature extraction; osteosarcoma; pattern classification; thermographic image analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2012 5th International Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4673-0965-3
  • Type

    conf

  • DOI
    10.1109/CISP.2012.6470012
  • Filename
    6470012