Publication
Highly time-resolved 4D MR angiography using golden-angle radial sparse parallel (GRASP) MRI
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- Persistent URL
- Last modified
- 07/03/2025
- Type of Material
- Authors
- Language
- English
- Date
- 2022-09-05
- Publisher
- NATURE PORTFOLIO
- Publication Version
- Copyright Statement
- © The Author(s) 2022
- License
- Final Published Version (URL)
- Title of Journal or Parent Work
- Volume
- 12
- Issue
- 1
- Start Page
- 15099
- End Page
- 15099
- Abstract
- Current dynamic MRA techniques are limited by temporal resolution and signal-to-noise penalties. GRASP, a fast and flexible MRI technique combining compressed-sensing, parallel imaging, and golden-angle radial sampling, acquires volumetric data continuously and can be reconstructed post hoc for user-defined applications. We describe a custom pipeline to retrospectively reconstruct ultrahigh temporal resolution, dynamic MRA from GRASP imaging obtained in the course of routine practice. GRASP scans were reconstructed using a custom implementation of the GRASP algorithm and post-processed with MeVisLab (MeVis Medical Solutions AG, Germany). Twenty consecutive examinations were scored by three neuroradiologists for angiographic quality of specific vascular segments and imaging artifacts using a 4-point scale. Unsubtracted images, baseline-subtracted images, and a temporal gradient dataset were available in 2D and 3D reconstructions. Distinct arterial and capillary phases were identified in all reconstructions, with a median of 2 frames (IQR1-3 and 2–3, respectively). Median rating for vascular segments was 3 (excellent) in all reconstructions and for nearly all segments, with excellent intraclass correlation (range 0.91–1.00). No cases were degraded by artifacts. GRASP-MRI obtained in routine practice can be seamlessly repurposed to produce high quality 4D MRA with 1–2-s resolved isotropic cerebrovascular angiography. Further exploration into diagnostic accuracy in disease-specific applications is warranted.
- Author Notes
- Keywords
- Research Categories
- Health Sciences, Radiology
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Publication File - w2tn4.pdf | Primary Content | 2025-05-29 | Public | Download |