• DocumentCode
    2086621
  • Title

    Toward the Development of an Intelligent System for the Diagnosis of Multiple Organs and Diseases

  • Author

    Sato, T. ; Abe, N. ; Kinoshita, Y. ; He, S.

  • Author_Institution
    Kyushu Inst. of Technol., Iizuka
  • fYear
    2007
  • fDate
    23-27 May 2007
  • Firstpage
    699
  • Lastpage
    706
  • Abstract
    The performance of CT scanners has been improved substantially over the past few years. Nowadays, it is possible to scan an entire human body and generate high-resolution CT images in an extremely short period of time. On the other hand, radiologists in Japan are increasingly overloaded. To answer the needs, the Ministry of Education, Culture, Sports, Science and Technology (MEXT for short) in Japan funded a set of research projects categorized as "Intelligent Assistance in Diagnosis of Multi-dimensional Medical Images". As one of the funded research projects, this research aims at the development of a multi-organ, multi-disease CAD system. With this system, the diagnosis of multi-organ and multi-disease could be possible by processing a single set of CT images. This paper presents a couple of milestones achieved so far, which include the visualization of virtual models, a methodology for the integration of multiple CAD systems, and some breakthroughs in the intelligent assistance in the diagnosis of lung abnormalities.
  • Keywords
    biological organs; cancer; computerised tomography; diseases; knowledge based systems; lung; medical image processing; patient diagnosis; CAD; CT image processing; CT scanners; human body; intelligent system; lung abnormalities; multidimensional medical images; multidisease diagnosis; multiorgan diagnosis; virtual model visualization; Biomedical imaging; Computed tomography; Diseases; Educational technology; Humans; Image generation; Intelligent systems; Lungs; Medical diagnostic imaging; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1077-4
  • Electronic_ISBN
    978-1-4244-1078-1
  • Type

    conf

  • DOI
    10.1109/ICCME.2007.4381828
  • Filename
    4381828