• DocumentCode
    1673602
  • Title

    Medical Image of PET/CT Weighted Fusion Based on Wavelet Transform

  • Author

    Cheng Shangli ; He Junmin ; Lv Zhongwei

  • Author_Institution
    Sch. of Life Sci. & Technol., Tongji Univ., Shanghai
  • fYear
    2008
  • Firstpage
    2523
  • Lastpage
    2525
  • Abstract
    Image fusion as a kind of information-integrated technology has been used in many fields recently. For medical images, the medical machine of PET/CT makes the within-machine fusion come true. Although the fusion image not only has the character of CT that can make a precise location of pathological changes but also has the character of PET that can detect the pathological as early as possible. As the within-machine fusion equipments are very expensive, it leads a high fee. Only some large hospitals are equipped with the within-machine fusion equipment. So a large space has been left to the development of fusion differences. Based on the wavelet-transform, the fusion of the CT image and PET image comes true. In the end, we gain the fusion CT/PET image. We can detect and locate the pathological changes exactly and immediately in the fusion image. And actually, this is the predominance of the fusion image.
  • Keywords
    computerised tomography; discrete wavelet transforms; diseases; image fusion; medical image processing; positron emission tomography; 2-D discrete wavelet transform; PET-CT weighted fusion; information-integrated technology; medical image fusion; pathology detection; wavelet transform; within-machine fusion equipment; Arithmetic; Biomedical imaging; Computed tomography; Discrete wavelet transforms; Image fusion; Image reconstruction; Pathology; Positron emission tomography; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1747-6
  • Electronic_ISBN
    978-1-4244-1748-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2008.964
  • Filename
    4535844