Accelerated dual-contrast first-pass perfusion MRI of the mouse heart: Development and application to diet-induced obese mice

Nivedita K. Naresh, Xiao Chen, Rene J. Roy, Patrick F. Antkowiak, Brian H. Annex, Frederick H. Epstein

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Purpose: Gene-modified mice may be used to elucidate molecular mechanisms underlying abnormal myocardial blood flow (MBF). We sought to develop a quantitative myocardial perfusion imaging technique for mice and to test the hypothesis that myocardial perfusion reserve (MPR) is reduced in a mouse model of diet-induced obesity (DIO). Methods: A dual-contrast saturation-recovery sequence with ky-t undersampling and a motion-compensated compressed sensing reconstruction algorithm was developed for first-pass MRI on a small-bore 7 Tesla system. Control mice were imaged at rest and with the vasodilators ATL313 and Regadenoson (n = 6 each). In addition, we imaged mice fed a high-fat diet (HFD) for 24 weeks. Results: In control mice, MBF was 5.7 ± 0.8 mL/g/min at rest and it increased to 11.8 ± 0.6 mL/g/min with ATL313 and to 10.4 ± 0.3 mL/g/min with Regadenoson. In HFD mice, we detected normal resting MBF (5.6 ± 0.4 versus 5.0 ± 0.3 on control diet), low MBF at stress (7.7 ± 0.4 versus 10.4 ± 0.3 on control diet, P<0.05), and reduced MPR (1.4 ± 0.2 versus 2.0 ± 0.3 on control diet, P<0.05). Conclusion: Accelerated dual-contrast first-pass MRI with motion-compensated compressed sensing provides spatiotemporal resolution suitable for measuring MBF in free-breathing mice, and detected reduced MPR in DIO mice. These techniques may be used to study molecular mechanisms that underlie abnormal myocardial perfusion.

Original languageEnglish (US)
Pages (from-to)1237-1245
Number of pages9
JournalMagnetic Resonance in Medicine
Volume73
Issue number3
DOIs
StatePublished - Mar 1 2015
Externally publishedYes

Keywords

  • Cardiac
  • First-pass MRI
  • High-fat diet
  • MRI
  • Mice
  • Perfusion reserve

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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