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Maria Lindahl

Maria Lindahl

Research engineer

Maria Lindahl

Measurement of MR signal and T2* in lung to characterize a tight skin mouse model of emphysema using single-point imaging

Author

  • Lars E Olsson
  • Maria Lindahl
  • Per-Ola Onnervik
  • Lars B Johansson
  • Malin Palmér
  • Martina Kvist Reimer
  • Leif Hultin
  • Paul D Hockings

Summary, in English

PURPOSE: To evaluate whether MRI signal and T2* measurements of lung tissue acquired at ultrashort detection times (tds) can detect emphysematous changes in lungs.

MATERIALS AND METHODS: MR signal intensity of in vivo mouse lungs was measured at 4.7 T at tds of 0.2 and 0.4 msec using single-point imaging (SPI). T2* was calculated from the measurements obtained at the two tds. Two groups of 8- and 30-week-old Tight Skin (TS) and aged-matched CB57BL/6 mice were examined. The TS mice spontaneously developed emphysema-like alveolar enlargement. In vivo micro-computed tomography (microCT) scanning and histology were used as reference methods.

RESULTS: MR signal and T2* were significantly lower in the lungs of TS mice than in controls. There were no significant differences between the different age groups. MR signal in lung parenchyma correlated linearly (P < 0.0001, r = 0.89) with microCT mass density, and T2* correlated linearly (P < 0.0001, r = -0.91) with the alveoli size (mean linear intercept [MLI]).

CONCLUSION: The MR signal intensity and T2* measured at short tds can be used as imaging biomarkers to characterize parenchyma density and alveolar size, respectively.

Publishing year

2007-03

Language

English

Pages

94-488

Publication/Series

Journal of Magnetic Resonance Imaging

Volume

25

Issue

3

Document type

Journal article

Publisher

John Wiley & Sons Inc.

Keywords

  • Age Factors
  • Animals
  • Disease Models, Animal
  • Disease Progression
  • Emphysema
  • Image Processing, Computer-Assisted
  • Imaging, Three-Dimensional
  • Lung
  • Magnetic Resonance Imaging
  • Mice
  • Signal Processing, Computer-Assisted
  • Tomography, X-Ray Computed

Status

Published

ISBN/ISSN/Other

  • ISSN: 1053-1807