• DocumentCode
    946669
  • Title

    Simulations of Short-Time Diffusivity in Lung Airspaces and Implications for S/V Measurements Using Hyperpolarized-Gas MRI

  • Author

    Miller, G. Wilson ; Carl, Michael ; Mata, Jaime F. ; Cates, Gordon D., Jr. ; Mugler, John P., III

  • Author_Institution
    Virginia Univ., Charlottesville
  • Volume
    26
  • Issue
    11
  • fYear
    2007
  • Firstpage
    1456
  • Lastpage
    1463
  • Abstract
    We demonstrate a method for simulating restricted diffusion of hyperpolarized gases in lung airspaces that does not rely on an idealized analytic model of alveolar structure. Instead, the restricting geometry was generated from digital representations of histological sections of actual lung tissue obtained from a rabbit model of emphysema. Monte-Carlo simulations of restricted diffusion were performed in the short-time-scale regime, for which the time-dependent diffusivity is quantitatively related to the surface-to-volume ratio (S/V) of the pore space. In each of the eight samples studied, the S/V extracted from the simulated time-dependent diffusivity curves differed by less than 3% from direct assessment of S/V using image-processing methods. Simulated MRI measurements of apparent diffusion coefficients (ADCs) were performed in three representative lung sections to determine the effect of realistic gradient pulse shapes on the extracted S/V values. It was confirmed that ADCs measured at short diffusion times using either narrow or square gradient pulses yield accurate S/V values based on previously derived theoretical relationships. Simulations of triangular and sinusoidal diffusion-sensitizing gradients were then used to quantify the modifications required to extract accurate S/V values from ADC measurements obtained using more realistic gradient waveforms.
  • Keywords
    Monte Carlo methods; biodiffusion; biological tissues; biomedical MRI; lung; pneumodynamics; Monte Carlo simulation; S/V measurements; alveolar structure; apparent diffusion coefficient; emphysema; hyperpolarized-gas MRI; lung airspaces; lung tissue; pore space; short-time diffusivity; surface-to-volume ratio; time-dependent diffusivity; Apparent diffusion coefficient; apparent diffusion coefficient; hyerpolarized gas; hyperpolarized gas; lung surface-to-volume ratio; magnetic resonance imaging; Computer Simulation; Diffusion; Diffusion Magnetic Resonance Imaging; Humans; Image Interpretation, Computer-Assisted; Models, Biological; Noble Gases; Pulmonary Alveoli; Pulmonary Gas Exchange;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2007.903192
  • Filename
    4359036