• DocumentCode
    923214
  • Title

    Simulation of tissue atrophy using a topology preserving transformation model

  • Author

    Karaçali, Bilge ; Davatzikos, Christos

  • Author_Institution
    Sch. of Biomed. Eng., Sci., & Health Syst., Drexel Univ., Philadelphia, PA, USA
  • Volume
    25
  • Issue
    5
  • fYear
    2006
  • fDate
    5/1/2006 12:00:00 AM
  • Firstpage
    649
  • Lastpage
    652
  • Abstract
    We propose a method to simulate atrophy and other similar volumetric change effects on medical images. Given a desired level of atrophy, we find a dense warping deformation that produces the corresponding levels of volumetric loss on the labeled tissue using an energy minimization strategy. Simulated results on a real brain image indicate that the method generates realistic images of tissue loss. The method does not make assumptions regarding the mechanics of tissue deformation, and provides a framework where a pre-specified pattern of atrophy can readily be simulated. Furthermore, it provides exact correspondences between images prior and posterior to the atrophy that can be used to evaluate provisional image registration and atrophy quantification algorithms.
  • Keywords
    biological tissues; biomechanics; biomedical MRI; brain; deformation; image registration; medical image processing; atrophy quantification; dense warping deformation; energy minimization; medical images; provisional image registration; tissue atrophy; tissue deformation; topology preserving transformation model; volumetric change effects; Atrophy; Biomedical imaging; Biomedical measurements; Brain modeling; Finite element methods; Image generation; Medical simulation; Morphology; Topology; Volume measurement; Algorithms; Atrophy; Brain; Brain Diseases; Computer Simulation; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Magnetic Resonance Imaging; Models, Neurological; Organ Size; Phantoms, Imaging; Reproducibility of Results; Retrospective Studies; Sensitivity and Specificity; Subtraction Technique;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2006.873221
  • Filename
    1626327