Acceleration techniques and their impact on arterial input function sampling: Non-accelerated versus view-sharing and compressed sensing sequences.

Published

Journal Article

PURPOSE: The aim was to investigate the variation of the arterial input function (AIF) within and between various DCE MRI sequences. MATERIAL AND METHODS: A dynamic flow-phantom and steady signal reference were scanned on a 3T MRI using fast low angle shot (FLASH) 2d, FLASH3d (parallel imaging factor (P) = P0, P2, P4), volumetric interpolated breath-hold examination (VIBE) (P = P0, P3, P2 × 2, P2 × 3, P3 × 2), golden-angle radial sparse parallel imaging (GRASP), and time-resolved imaging with stochastic trajectories (TWIST). Signal over time curves were normalized and quantitatively analyzed by full width half maximum (FWHM) measurements to assess variation within and between sequences. RESULTS: The coefficient of variation (CV) for the steady signal reference ranged from 0.07-0.8%. The non-accelerated gradient echo FLASH2d, FLASH3d, and VIBE sequences showed low within sequence variation with 2.1%, 1.0%, and 1.6%. The maximum FWHM CV was 3.2% for parallel imaging acceleration (VIBE P2 × 3), 2.7% for GRASP and 9.1% for TWIST. The FWHM CV between sequences ranged from 8.5-14.4% for most non-accelerated/accelerated gradient echo sequences except 6.2% for FLASH3d P0 and 0.3% for FLASH3d P2; GRASP FWHM CV was 9.9% versus 28% for TWIST. CONCLUSION: MRI acceleration techniques vary in reproducibility and quantification of the AIF. Incomplete coverage of the k-space with TWIST as a representative of view-sharing techniques showed the highest variation within sequences and might be less suited for reproducible quantification of the AIF.

Full Text

Duke Authors

Cited Authors

  • Benz, MR; Bongartz, G; Froehlich, JM; Winkel, D; Boll, DT; Heye, T

Published Date

  • July 2018

Published In

Volume / Issue

  • 104 /

Start / End Page

  • 8 - 13

PubMed ID

  • 29857871

Pubmed Central ID

  • 29857871

Electronic International Standard Serial Number (EISSN)

  • 1872-7727

Digital Object Identifier (DOI)

  • 10.1016/j.ejrad.2018.04.022

Language

  • eng

Conference Location

  • Ireland