Flip angle optimization for dynamic contrast-enhanced MRI-studies with spoiled gradient echo pulse sequences

D De Naeyer1, J Verhulst, W Ceelen

  • 1Department of Civil Engineering, Institute of Biomedical Technology (IBiTech), Ghent University, Belgium, De Pintelaan 185, B-9000 Ghent, Belgium. dieter.denaeyer@Ugent.be

Insights

Optimizing the spoiled gradient echo pulse (SPGRE) flip angle in dynamic contrast-enhanced MRI (DCE-MRI) significantly reduces concentration uncertainty. This optimization enhances the precision of kinetic parameter estimates, improving reproducibility in DCE-MRI studies.

Area of Science:

  • Medical Imaging
  • Biophysics
  • Radiology

Background:

  • Spoiled gradient echo pulse (SPGRE) sequences are crucial for dynamic contrast-enhanced MRI (DCE-MRI) to quantify contrast agent concentration.
  • Improper SPGRE parameter tuning leads to high concentration uncertainty, even with high signal-to-noise ratios.

Purpose of the Study:

  • To propose an optimization procedure for selecting the optimal SPGRE flip angle (FA(opt)) to minimize concentration uncertainty within a given range.
  • To decouple R(1) and R*(2) effects for a more accurate assessment of contrast agent concentration.

Main Methods:

  • Developed an optimization procedure to determine the optimal flip angle (FA(opt)) based on the expected concentration range.
  • Generated contour plots by decoupling R(1) and R*(2) effects to identify FA(opt) for various study designs.
  • Analyzed ten recent DCE-MRI studies and performed simulations and in vivo experiments.

Main Results:

  • Improper flip angle selection in DCE-MRI studies increased concentration uncertainty by up to 742% (tumor tissue) and 72% (blood).
  • Optimal flip angle use reduced noise, increasing precision of kinetic parameters (K(trans), ν(e), ν(p)) by up to 92%.
  • In vivo experiments confirmed improved reproducibility of kinetic parameter estimates with flip angle optimization.

Conclusions:

  • Flip angle optimization is essential for accurate and reproducible DCE-MRI studies.
  • The proposed method provides a practical approach to minimize concentration uncertainty and enhance kinetic parameter estimation precision.
  • This optimization has significant implications for improving the reliability of DCE-MRI in clinical and research settings.