• DocumentCode
    2128063
  • Title

    An intelligent CAD system for automated detection of pulmonary tuberculosis on chest radiograph and CT thorax: A road map

  • Author

    Elamy, Abdel-Halim Hafez ; Mandal, Mrinal ; Far, Behrouz ; Basu, Anup ; Cheng, Irene ; Long, Richard

  • fYear
    2010
  • fDate
    2-5 May 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Tuberculosis (TB) is a common and deadly infectious disease that can occur at any age. It mostly affects the lungs, but can also affect other organs, including the central nervous system. TB is a leading cause of morbidity and mortality in adults worldwide, killing more than 1.5 million people every year. TB is often ignored by health care professionals at emergency departments in Canada. This is due to the fact that TB is a rare disease in Canadian-born non-Aboriginals. However, it remains prevalent in some groups, including immigrants from TB endemic countries. The basic key to control the spread of TB is the early detection and treatment. This paper exhibits several innovative works to automate the detection of TB and introduces an integrated auto-monitoring computer-aided detection (CAD) system. This system will be capable of detecting TB from plain chest radiographs and computed tomography (CT) thorax and triggers warning control devices to announce for prevalent active TB. The proposed system would be of great value in protecting Canadians and others from unwanted contagion.
  • Keywords
    computerised tomography; diagnostic radiography; diseases; knowledge based systems; lung; medical image processing; patient monitoring; patient treatment; CT thorax; TB treatment; automated detection; chest radiograph; computed tomography; infectious disease; integrated auto-monitoring computer-aided detection system; intelligent CAD system; morbidity; mortality; pulmonary tuberculosis; warning control device; Biomedical imaging; Computed tomography; Diagnostic radiography; Human immunodeficiency virus; Lungs; Microorganisms; Tuberculosis; computer-aided detection (CAD); feature detection; image analysis; radiology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2010 23rd Canadian Conference on
  • Conference_Location
    Calgary, AB
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4244-5376-4
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2010.5575156
  • Filename
    5575156