• DocumentCode
    1588614
  • Title

    Computer Assisted Solitary Pulmonary Nodules Morphological Enhancement Characteristics - A preliminary study

  • Author

    Tan, Yongqiang ; Wang, Mingpeng ; Zhang, Chenghao ; Zhang, Guozhen ; Yang, Jianying ; Zhang, Jianguo

  • Author_Institution
    Shanghai Inst. for Tech. Phys., Chinese Acad. of Sci., Beijing
  • fYear
    2006
  • Firstpage
    6422
  • Lastpage
    6424
  • Abstract
    The quantity analysis on solitary pulmonary nodules (SPN) is very important for pulmonary disease diagnosis and prediction, especially, in the early phase or small sizes. Due to the breathing activity of patients, the SPN region is translated and deformed after the injection of bolus so that it is hard to obtain the exact enhancement patterns. In this presentation, we give an approach to combine plain CT images and enhanced CT images to assist the radiologists in SPN diagnosis or prediction. First we segmented SPN region in both the plain image and the enhanced image, then rigid and deformable registration method were carried out to match the enhanced SPN region to the plain SPN region, then we subtracted the SPN region from the enhanced SPN region to show the enhancement, finally we correlated the enhancement characteristics with corresponding diagnosis results
  • Keywords
    computerised tomography; diseases; image registration; image segmentation; medical image processing; pneumodynamics; bolus; breathing; computer assisted solitary pulmonary nodules morphological enhancement; deformable registration; enhanced CT images; image segmentation; plain CT images; pulmonary disease diagnosis; rigid registration; Biomedical imaging; Biomedical informatics; Computed tomography; Hospitals; Image segmentation; Medical diagnostic imaging; Physics; Picture archiving and communication systems; Pixel; Radiology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1615968
  • Filename
    1615968