• DocumentCode
    2362982
  • Title

    Tumor-induced structural and radiometric asymmetry in brain images

  • Author

    Lorenzen, Peter ; Joshi, Sarang ; Gerig, Guido ; Bullitt, Elizabeth

  • Author_Institution
    Med. Image Display & Anal. Group, North Carolina Univ., Chapel Hill, NC, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    163
  • Lastpage
    170
  • Abstract
    This paper presents a general framework for analyzing structural and radiometric asymmetry in brain images. In a healthy brain, the left and right hemispheres are largely symmetric across the mid-sagittal plane. Brain tumors may belong to one or both of the following categories: mass-effect, in which the diseased tissue displaces healthy tissue; and infiltrating, in which healthy tissue has become diseased. Mass-effect brain tumors cause structural asymmetry by displacing healthy tissue, and may cause radiometric asymmetry in adjacent normal structures due to edema. Infiltrating tumors have a different radiometric response from healthy tissue. Thus, structural and radiometric asymmetries across the mid-sagittal plane in brain images provide important cues that tumors may be present. We have developed a framework that registers images with their reflections across the mid-sagittal plane. The registration process accounts for tissue displacement through large deformation image warping. Radiometric differences are taken into account through an additive intensity field. We present an efficient multi-scale algorithm for the joint estimation of structural and radiometric asymmetry
  • Keywords
    biomedical MRI; brain; image registration; medical image processing; tumours; additive intensity field; deformable image mapping; diseased tissue; edema; efficient multiscale algorithm; healthy tissue displacement; image reflections; infiltrating tumors; medical diagnostic imaging; medical image analysis; midsagittal plane; radiometric asymmetry; structural asymmetry; Alzheimer´s disease; Biomedical imaging; Brain; Displays; Humans; Image analysis; Neoplasms; Radiometry; Reflection; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mathematical Methods in Biomedical Image Analysis, 2001. MMBIA 2001. IEEE Workshop on
  • Conference_Location
    Kauai, HI
  • Print_ISBN
    0-7695-1336-0
  • Type

    conf

  • DOI
    10.1109/MMBIA.2001.991712
  • Filename
    991712