Highly accelerated dynamic contrast enhanced imaging

Robert Marc Lebel, Jesse Jones, Jean Christophe Ferre, Meng Law, Krishna S. Nayak

Research output: Contribution to journalArticleResearchpeer-review

23 Citations (Scopus)

Abstract

Purpose Dynamic contrast-enhanced imaging provides unique physiological information, notably the endothelial permeability (Ktrans), and may improve the diagnosis and management of multiple pathologies. Current acquisition methods provide limited spatial-temporal resolution and field-of-view, often preventing characterization of the entire pathology and precluding measurement of the arterial input function. We present a method for highly accelerated dynamic imaging and demonstrate its utility for dynamic contrast-enhanced modeling. Methods We propose a novel Poisson ellipsoid sampling scheme and enforce multiple spatial and temporal l1-norm constraints during image reconstruction. Retrospective and prospective analyses were performed to validate the approach. Results Retrospectively, no mean bias or diverging trend was observed as the acceleration rate was increased from 3× to 18×; less than 10% error was measured in Ktrans at any individual rates in this range. Prospectively accelerated images at a rate of 36× enabled full brain coverage with 0.94 × 0.94 × 1.9 mm3 spatial and 4.1 s temporal resolutions. Images showed no visible degradation and provided accurate Ktrans values when compared to a clinical population. Conclusion Highly accelerated dynamic MRI using compressed sensing and parallel imaging provides accurate permeability modeling and enables full brain, high resolution acquisitions.

Original languageEnglish
Pages (from-to)635-644
Number of pages10
JournalMagnetic Resonance in Medicine
Volume71
Issue number2
DOIs
Publication statusPublished - 1 Feb 2014
Externally publishedYes

Keywords

  • compressed sensing
  • contrast enhanced
  • dynamic imaging
  • magnetic resonance imaging
  • parallel imaging
  • sparsity
  • undersampling

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