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. 2015 Oct;28(5):437-46.
doi: 10.1007/s10334-014-0477-9. Epub 2015 Jan 22.

Highly undersampled peripheral Time-of-Flight magnetic resonance angiography: optimized data acquisition and iterative image reconstruction

Jana Hutter  1   2 , Robert Grimm  3 , Christoph Forman  3   4 , Joachim Hornegger  3   4 , Peter Schmitt  5
Affiliations

Highly undersampled peripheral Time-of-Flight magnetic resonance angiography: optimized data acquisition and iterative image reconstruction

Jana Hutter et al. MAGMA. 2015 Oct.

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.

Keywords: Compressed Sensing; Iterative reconstruction; Non-contrast-enhanced MRA; Peripheral angiography.

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