• DocumentCode
    3475000
  • Title

    A new approach to the visualization of intracranial arteriovenous malformation with principal component analysis

  • Author

    Yui, Yoshiyuki N. ; Ogawa, Koichi ; Kunieda, Etsuo

  • Author_Institution
    Dept. of Electron. Inf., Hosei Univ., Tokyo, Japan
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Abstract
    In stereotactic radiosurgery for intracranial arteriovenous malformations (AVMs), the authors have to decide on an irradiation field with an accurate three-dimensional image of the brain blood vessels. Now this irradiation field is decided on with reference to angiograms or dynamic X-ray CT images of the brain. Generally intracranial AVMs are complicated in structure, so it Is very difficult to pinpoint the diseased region. The purpose of this study is to identify the area accurately. The proposed method uses a sequence of dynamic X-ray CT images with contrast and opaque media. Then these images are analyzed by means of a principal component analysis method. Results obtained by this method showed that the proposed method could identify an AVM area. The authors also reconstructed three dimensional fusion images with two dimensional factor images
  • Keywords
    blood vessels; brain; computerised tomography; diseases; image reconstruction; image sequences; medical image processing; principal component analysis; angiograms; brain blood vessel; contrast media; diseased region pinpointing; dynamic X-ray CT images; image analysis; intracranial arteriovenous malformation visualization; medical diagnostic imaging; opaque media; stereotactic radiosurgery; three dimensional fusion images; three-dimensional image; two dimensional factor images; Biomedical imaging; Blood vessels; Computed tomography; Data acquisition; Image analysis; Image reconstruction; Principal component analysis; Shape; Visualization; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2000 IEEE
  • Conference_Location
    Lyon
  • ISSN
    1082-3654
  • Print_ISBN
    0-7803-6503-8
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2000.949388
  • Filename
    949388