A framework for optimization-based design of motion encoding in magnetic resonance elastography

Guy Nir, Ramin S Sahebjavaher, Ralph Sinkus, Septimiu E Salcudean

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


PURPOSE: In conventional three-dimensional magnetic resonance elastography, motion encoding gradients (MEGs) synchronized to a mechanical excitation are applied separately in each direction to encode tissue displacement generated by the corresponding waves. This requires long acquisition times that introduce errors due to patient motion and may hinder clinical deployment of magnetic resonance elastography. In this article, a framework for MEGs sequence design is proposed to reduce scanning time and increase signal-to-noise ratio.

THEORY AND METHODS: The approach is based on applying MEGs in all three directions simultaneously with varying parameters, and formulation of the problem as a linear estimation of the wave properties. Multidirectional MEGs sequences are derived by setting the problem in an experimental design framework. Such designs are implemented and evaluated on simulation and phantom data.

RESULTS: Estimation error of the displacement using the proposed MEGs designs is reduced up to a factor of two in comparison with a unidirectional design with a same number of acquisitions. Alternatively, for the same error, scanning time is reduced up to a factor of three using the multidirectional designs.

CONCLUSION: The proposed framework generalizes acquisition of magnetic resonance elastography, and allows quantification of design performance, and optimization-based derivation of designs.

Original languageEnglish
Pages (from-to)1514-1525
Number of pages12
JournalMagnetic Resonance in Medicine
Issue number4
Publication statusPublished - 1 Apr 2015


Dive into the research topics of 'A framework for optimization-based design of motion encoding in magnetic resonance elastography'. Together they form a unique fingerprint.

Cite this