• DocumentCode
    676306
  • Title

    Computer aided detection of pulmonary embolism in Computed Tomography Angiography images

  • Author

    Ozkan, Huseyin ; Osman, Onur ; Sahin, Seckin

  • Author_Institution
    Dept. of Biomed. Eng., Fatih Sultan Mehmet Vakif Univ., Istanbul, Turkey
  • fYear
    2013
  • fDate
    7-9 Nov. 2013
  • Firstpage
    355
  • Lastpage
    358
  • Abstract
    Pulmonary Embolism (PE), one of the circulatory system problems, is the clinical result at the end of that the lung artery or one or a few branches of them are bunged up by clot of blood. Besides it is a hard disease to diagnose, early diagnosis and treatment of it can save lives. In this study, a new CAD system is proposed for detection of PE in CTA images. Firstly, lung was segmented and Mediastinum Region (MR) was determined. Secondly, lung vessel segmentation was carried out. Lastly, PEs were detected according to region, intensity, and the size of PEs in lung vessel tree. Data set belongs to 15 patients were examined. 210 PEs were determined by the radiologists manually. 181 of them were detected as PE by our CAD system. According to the proposed method, 86.2% of sensitivity with 13.1 false positive per data sets (FP/ds) is obtained.
  • Keywords
    computerised tomography; image segmentation; lung; medical image processing; object detection; CAD system; CTA image; MR; PE detection; blood clot; circulatory system problems; computed tomography angiography image; computer aided detection; lung artery; lung vessel segmentation; lung vessel tree; mediastinum region; pulmonary embolism; Angiography; Arteries; Computed tomography; Design automation; Image segmentation; Lungs; Three-dimensional displays; Computed Tomography Angiography; Computer Aided Detection; Lung Segmentation; Lung Vessel Segmentation; Pulmonary Embolism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computer and Computation (ICECCO), 2013 International Conference on
  • Conference_Location
    Ankara
  • Type

    conf

  • DOI
    10.1109/ICECCO.2013.6718301
  • Filename
    6718301