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- Title
Highly undersampled peripheral Time-of-Flight magnetic resonance angiography: optimized data acquisition and iterative image reconstruction.
- Authors
Hutter, Jana; Grimm, Robert; Forman, Christoph; Hornegger, Joachim; Schmitt, Peter
- Abstract
Object: The aim of this study was to investigate the acceleration of peripheral Time-of-Flight magnetic resonance angiography using Compressed Sensing and parallel magnetic resonance imaging (MRI) while preserving image quality and vascular contrast. Materials and methods: An analytical sampling pattern is proposed that combines aspects of parallel MRI and Compressed Sensing. It is used in combination with a dedicated Split Bregman algorithm. This approach is compared with current state-of-the-art patterns and reconstruction algorithms. Results: The acquisition time was reduced from 30 to 2.5 min in a study using ten volunteer data sets, while showing improved sharpness, better contrast and higher accuracy compared to state-of-the-art techniques. Conclusion: This study showed the benefits of the proposed dedicated analytical sampling pattern and Split Bregman algorithm for optimizing the Compressed Sensing reconstruction of highly accelerated peripheral Time-of-Flight data.
- Subjects
MAGNETIC resonance angiography; MAGNETIC resonance imaging; COMPRESSED sensing
- Publication
MAGMA: Magnetic Resonance Materials in Physics, Biology & Medicine, 2015, Vol 28, Issue 5, p437
- ISSN
0968-5243
- Publication type
Article
- DOI
10.1007/s10334-014-0477-9