Back to Search
Start Over
Development of a spiral spin‐ and gradient‐echo (spiral‐SAGE) approach for improved multi‐parametric dynamic contrast neuroimaging
- Source :
- Magn Reson Med
- Publication Year :
- 2021
- Publisher :
- Wiley, 2021.
-
Abstract
- 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.
- Subjects :
- Deblurring
Brain Neoplasms
Echo-Planar Imaging
Image quality
Computer science
media_common.quotation_subject
fungi
Brain
Contrast Media
Neuroimaging
Perfusion scanning
Magnetic Resonance Imaging
Article
Imaging phantom
Intensity (physics)
Distortion
Humans
Contrast (vision)
Radiology, Nuclear Medicine and imaging
Spiral
media_common
Biomedical engineering
Subjects
Details
- ISSN :
- 15222594 and 07403194
- Volume :
- 86
- Database :
- OpenAIRE
- Journal :
- Magnetic Resonance in Medicine
- Accession number :
- edsair.doi.dedup.....905097783ba4d9be830fb2ea9c30af0c