Susceptibility-based analysis of dynamic gadolinium bolus perfusion MRI

Research output: Contribution to journalArticle

Abstract

Purpose: An algorithm is developed for the reconstruction of dynamic, gadolinium (Gd) bolus MR perfusion images of the human brain, based on quantitative susceptibility mapping (QSM). Methods: The method is evaluated in five perfusion scans obtained from four different patients scanned at 3 Tesla, and compared with the conventional analysis based on changes in the transverse relaxation rate ΔR2∗ and to theoretical predictions. QSM images were referenced to ventricular cerebrospinal fluid (CSF) for each dynamic of the perfusion sequence. Results: Images of cerebral blood flow and blood volume were successfully reconstructed from the QSM-analysis, and were comparable to those reconstructed using ΔR2∗. The magnitudes of the Gd-associated susceptibility effects in gray and white matter were consistent with theoretical predictions. Conclusion: QSM-based analysis may have some theoretical advantages compared with DR2∗, including a simpler relationship between signal change and Gd concentration. However, disadvantages are its much lower contrast-to-noise ratio, artifacts due to respiration and other effects, and more complicated reconstruction methods. More work is required to optimize data acquisition protocols for QSM-based perfusion imaging.

Original languageEnglish (US)
Pages (from-to)544-554
Number of pages11
JournalMagnetic resonance in medicine
Volume73
Issue number2
DOIs
StatePublished - Feb 1 2015

Keywords

  • Cerebral blood flow
  • Dynamic susceptibility contrast MRI
  • Perfusion
  • Quantitative susceptibility mapping

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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