• DocumentCode
    1739620
  • Title

    Segmentation fusion of image with meningoma

  • Author

    Tong, Longzheng ; Zhou, Qiming ; Li, Yongzhong ; Wang, Wei ; Ye, Derong ; Ma, Binrong

  • Author_Institution
    Capital Univ. of Med. Sci., China
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1119
  • Abstract
    Possessing both merits and demerits respectively, CT and MRI test are the two common radiological means to diagnose meningoma. With high-density resolution, CT detects even tiny density differentia of normal tissue and tumor tissue in the brain, but can not distinguish every soft tissue as expected. MRI scans all direction of the tissues freely, and can clearly differentiate soft tissues such as muscle, fascia, fat, gray matter, white matter, and abnormal lesion, but can not accurately identify the calcified part of tumor and the boundary between tumor and cranium. In recent years, researchers around world try to register and fuse images of CT and MRI in order to achieve a new image with more information for diagnosis and differentiating diagnosis. Based on CT and MRI images of meningoma, the normal parts and tumor parts were registered, segmented and processed with weighted fusion. Pseudo color was used on the image to provide more easily recognized information in new one for early clinical diagnosis of the meningoma
  • Keywords
    biological tissues; biomedical MRI; brain; cancer; computerised tomography; image registration; image segmentation; patient diagnosis; sensor fusion; CT images; CT test; MRI images; MRI test; abnormal lesion; brain; clinical diagnosis; differentiating diagnosis; fascia; fat; gray matter; high-density resolution; image registration; image segmentation; meningoma diagnosis; muscle; normal tissue; pseudo color; segmentation image fusion; soft tissue; tumor tissue; weighted fusion; white matter; Biological tissues; Computed tomography; Cranium; Fascia; Image segmentation; Lesions; Magnetic resonance imaging; Muscles; Neoplasms; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-5747-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2000.891735
  • Filename
    891735