Four-dimensional flow-sensitive MRI of the thoracic aorta: 12- Versus 32-channel coil arrays

Aurélien F. Stalder, Zhiyuan Dong, Qi Yang, Jelena Bock, Jürgen Hennig, Michael Markl, Kuncheng Li*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Purpose: To evaluate the performance of four-dimensional (4D) flow-sensitive MRI in the thoracic aorta using 12- and 32-channel coils and parallel imaging. Materials and Methods: 4D flow-sensitive MRI was performed in the thoracic aorta of 11 healthy volunteers at 3 Tesla (T) using different coils and parallel imaging (GRAPPA) accelerations (R): (i) 12-channel coil, R = 2; (ii) 12-channel coil, R = 3; (iii) 32-channel coil, R = 3. The quantitative analysis included SNR, residual velocity divergence and length and curvature of traces (streamlines and pathlines) as used for 3D flow visualization. In addition, semi-quantitative image grading was performed to assess quality of phase-contrast angiography and 3D flow visualization. Results: Parallel imaging with an acceleration factor R = 3 allowed to save 19.5 ± 5% measurement time compared with R = 2 (14.2 ± 2.4 min). Acquisition using 12 channels with R = 2 and 32 channels with R = 3 produced data with significantly (P < 0.05) higher quality compared with 12 channels and R = 3. There was no significant difference between 12 channels with R = 2 and 32 channels with R = 3 but for the depiction of supra-aortic branches where the 32-channel coil proved superior. Conclusion: Using 32-channel coils is beneficial for 4D flow-sensitive MRI of the thoracic aorta and can allow for a reduction of total scan time while maintaining overall image quality.

Original languageEnglish (US)
Pages (from-to)190-195
Number of pages6
JournalJournal of Magnetic Resonance Imaging
Volume35
Issue number1
DOIs
StatePublished - Jan 2012

Keywords

  • 32-channel coil
  • 4D flow-sensitive MRI
  • GRAPPA
  • aorta
  • parallel imaging
  • phase-contrast MRI

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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