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Related Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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In vivo lung morphometry with hyperpolarized 3He diffusion MRI: theoretical background.

A L Sukstanskii1, D A Yablonskiy

  • 1Department of Radiology, Washington University, St. Louis, MO 63110, USA. alex@wuchem.wustl.edu

Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|November 27, 2007
PubMed
Summary

Hyperpolarized helium-3 (3He) diffusion MRI reveals lung microstructure by relating diffusion coefficients to airway geometry. Findings enable in vivo lung morphometry and highlight the impact of diffusion time on apparent diffusion coefficients.

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Area of Science:

  • Pulmonary MRI
  • Medical Imaging Physics
  • Computational Biology

Background:

  • Lung microstructure is crucial for gas exchange.
  • Helium-3 (3He) diffusion MRI offers insights into lung microstructure.
  • Acinar airways can be modeled as cylinders with alveolar sleeves.

Purpose of the Study:

  • To establish empirical relationships between diffusion coefficients (D(L), D(T)) and lung geometrical parameters using Monte Carlo simulations.
  • To investigate the effects of non-Gaussian diffusion behavior on these relationships.
  • To provide a basis for in vivo lung morphometry using 3He diffusion MRI.

Main Methods:

  • Computer Monte Carlo simulations to model 3He diffusion in lung acinar airways.
  • Analysis of diffusion MRI signal attenuation considering longitudinal (D(L)) and transverse (D(T)) diffusion coefficients.
  • Inclusion of b-value dependence for non-Gaussian diffusion effects.

Main Results:

  • Empirical relationships derived for D(L) and D(T) with airway and alveolar geometry.
  • Results are quantitatively valid for healthy and mildly emphysematous lungs.
  • Apparent characteristics for advanced emphysema suggest potential for progression evaluation.
  • Significant dependence of 3He ADC on diffusion time (Delta) predicted (up to 50% increase when Delta decreases from 3ms to 1ms).

Conclusions:

  • This study provides a foundation for in vivo lung morphometry from 3He diffusion MRI.
  • The findings enable evaluation of geometrical parameters of acinar airways, even when not directly imaged.
  • The strong dependence of ADC on diffusion time necessitates careful consideration when comparing experimental data from different pulse sequences.