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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
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

Abstract 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.

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

Other

Published
  • ISSN: 1053-1807
Maria Lindahl
E-mail: maria.lindahl [at] med.lu.se

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