4.5 Article

Development of a spiral spin- and gradient-echo (spiral-SAGE) approach for improved multi-parametric dynamic contrast neuroimaging

期刊

MAGNETIC RESONANCE IN MEDICINE
卷 86, 期 6, 页码 3082-3095

出版社

WILEY
DOI: 10.1002/mrm.28933

关键词

brain tumors; dynamic susceptibility contrast; perfusion imaging; spin and gradient echo; spiral

资金

  1. Arizona Biomedical Research Commission [ADHS16--162414]
  2. National Institutes of Health/National Cancer Institute [2R01CA158079]
  3. Philips Healthcare

向作者/读者索取更多资源

The spiral-SAGE method demonstrates substantial improvements in image quality and quantification of perfusion and permeability, especially compared to conventional EPI-SAGE. Bioreactor phantom data show comparable dynamics between spiral-SAGE and EPI-SAGE, with improvements in quantifying T-1 changes. In a cohort of brain tumor patients, spiral-SAGE-based perfusion and permeability maps provide valuable insights for clinical assessment.
Purpose: The purpose of this study was to develop a spiral-based combined spin-and gradient-echo (spiral-SAGE) method for simultaneous dynamic contrast-enhanced (DCE-MRI) and dynamic susceptibility contrast MRI (DSC-MRI). Methods: Using this sequence, we obtained gradient-echo TEs of 1.69 and 26 ms, a SE TE of 87.72 ms, with a TR of 1663 ms. Using an iterative SENSE reconstruction followed by deblurring, spiral-induced image artifacts were minimized. Healthy volunteer images are shown to demonstrate image quality using the optimized reconstruction, as well as for comparison with EPI-based SAGE. A bioreactor phantom was used to compare dynamic-contrast time courses with both spiral-SAGE and EPI-SAGE. A proof-of-concept cohort of patients with brain tumors shows the range of hemodynamic maps available using spiral-SAGE. Results: Comparison of spiral-SAGE images with conventional EPI-SAGE images illustrates substantial reductions of image distortion and artifactual image intensity variations. Bioreactor phantom data show similar dynamic contrast time courses between standard EPI-SAGE and spiral-SAGE for the second and third echoes, whereas first-echo data show improvements in quantifying T-1 changes with shorter echo times. In a cohort of patients with brain tumors, spiral-SAGE-based perfusion and permeability maps are shown with comparison with the standard single-echo EPI perfusion map. Conclusion: Spiral-SAGE provides a substantial improvement for the assessment of perfusion and permeability by mitigating artifacts typically encountered with EPI and by providing a shorter echo time for improved characterization of permeability. Spiral-SAGE enables quantification of perfusion, permeability, and vessel architectural parameters, as demonstrated in brain tumors.

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