• DocumentCode
    1273313
  • Title

    A Numerical Investigation of Breast Compression: A Computer-Aided Design Approach for Prescribing Boundary Conditions

  • Author

    Stewart, M.L. ; Smith, Laura M. ; Hall, Nicholas

  • Author_Institution
    Oakland Univ., Rochester, MI, USA
  • Volume
    58
  • Issue
    10
  • fYear
    2011
  • Firstpage
    2876
  • Lastpage
    2884
  • Abstract
    Prior to performing an MRI-guided breast biopsy, the radiologist has to locate the suspect lesion with the breast compressed between rigid plates. However, the suspect lesion is typically identified from a diagnostic MRI exam with the breast hanging freely under the force of gravity. There are several challenges associated with localizing suspect lesions including, patient positioning, the visibility of the lesion may fade after contrast injection, menstrual cycles, and lesion deformation. Researchers have developed finite element analysis (FEA) methodologies that simulate breast compression with the intent of reducing these challenges. In this paper, we constructed a patient-specific finite element (FE) breast model from diagnostic MR images. In addition, we constructed surfaces corresponding to the biopsy MR volume and used them to deform the FE breast mesh. The predicted results suggest that the FE breast model, in its uncompressed configuration, can be compressed to replicate the perimeter of the biopsy MR volume. The simulated lesion displacement was within 3 mm of its actual position.
  • Keywords
    biomedical MRI; data compression; medical image processing; mesh generation; tumours; MRI-guided breast biopsy; breast compression; computer-aided design approach; contrast injection; finite element analysis; force-of-gravity; lesion; lesion deformation; menstrual cycles; numerical investigation; patient positioning; uncompressed configuration; Breast tissue; Finite element methods; Geometry; Lesions; Materials; Numerical models; Breast boundary conditions; MRI-guided breast biopsy; breast compression; breast finite element model; finite element lesion model; Algorithms; Biopsy; Breast; Breast Neoplasms; Computer Simulation; Female; Finite Element Analysis; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Models, Biological;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2011.2162063
  • Filename
    5954158