A flexible fast spin echo triple-echo Dixon technique

Magn Reson Med. 2017 Mar;77(3):1049-1057. doi: 10.1002/mrm.26186. Epub 2016 Mar 8.

Abstract

Purpose: To develop a flexible fast spin echo (FSE) triple-echo Dixon (FTED) technique.

Methods: An FSE pulse sequence was modified by replacing each readout gradient with three fast-switching bipolar readout gradients with minimal interecho dead time. The corresponding three echoes were used to generate three raw images with relative phase shifts of -θ, 0, and θ between water and fat signals. A region growing-based two-point Dixon phase correction algorithm was used to joint process two separate pairs of the three raw images, yielding a final set of water-only and fat-only images. The flexible FTED technique was implemented on 1.5T and 3.0T scanners and evaluated in five subjects for fat-suppressed T2-weighted imaging and in one subject for post-contrast fat-suppressed T1-weighted imaging.

Results: The flexible FTED technique achieved a high data acquisition efficiency, comparable to that of FSE, and was flexible in scan protocols. The joint two-point Dixon phase correction algorithm helped to ensure consistency in the processing of the two separate pairs of raw images. Reliable and uniform separation of water and fat was achieved in all of the test cases.

Conclusion: The flexible FTED technique incorporates the benefits of both FSE and Dixon imaging and provided more flexibility than the original FTED in applications such as fat-suppressed T2-weighted and T1-weighted imaging. Magn Reson Med 77:1049-1057, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Keywords: Dixon imaging; fast spin echo; fast triple-echo Dixon; joint processing; water and fat.

Publication types

  • Evaluation Study

MeSH terms

  • Adipose Tissue / diagnostic imaging*
  • Algorithms
  • Body Water / diagnostic imaging*
  • Breast / anatomy & histology*
  • Female
  • Humans
  • Image Enhancement / methods
  • Image Interpretation, Computer-Assisted / methods*
  • Magnetic Resonance Imaging / methods*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Signal Processing, Computer-Assisted*