• DocumentCode
    1784977
  • Title

    Deploying swarm intelligence in medical imaging

  • Author

    Majid Al-Rifaie, Mohammad ; Aber, Ahmed ; Sayers, Robert ; Choke, Edward ; Bown, Mathew

  • Author_Institution
    Dept. of Comput., Univ. of London, London, UK
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    14
  • Lastpage
    21
  • Abstract
    This paper introduces a novel approach in using a swarm intelligence algorithm - Stochastic Diffusion Search - in medical imaging. After summarising the results of some previous work - showing how the algorithm assists the identification of metastasis in bone scans and microcalcifications on the mammographs - for the first time, the use of the algorithm in assessing the CT images of aorta is demonstrated along with its performance in detecting the nasogastric tube in chest X-ray. The swarm intelligence algorithm presented in this paper is adapted to address these particular tasks and its functionality is investigated by running the swarms on sample CT images and X-rays whose status have been determined by two senior radiologists.
  • Keywords
    bone; computerised tomography; diagnostic radiography; mammography; medical image processing; stochastic processes; swarm intelligence; CT images; aorta; bone scans; chest X-ray; mammographs; medical imaging; metastasis identification; microcalcifications; nasogastric tube; stochastic diffusion search; swarm intelligence algorithm; swarm intelligence deployment; Biomedical imaging; Bones; Electron tubes; Metastasis; Particle swarm optimization; Sociology; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
  • Conference_Location
    Belfast
  • Type

    conf

  • DOI
    10.1109/BIBM.2014.6999242
  • Filename
    6999242