| Literature DB >> 26438877 |
Ali Zorgani1, Rémi Souchon1, Au-Hoang Dinh1, Jean-Yves Chapelon1, Jean-Michel Ménager2, Samir Lounis2, Olivier Rouvière3, Stefan Catheline4.
Abstract
We present a magnetic resonance elastography approach for tissue characterization that is inspired by seismic noise correlation and time reversal. The idea consists of extracting the elasticity from the natural shear waves in living tissues that are caused by cardiac motion, blood pulsatility, and any muscle activity. In contrast to other magnetic resonance elastography techniques, this noise-based approach is, thus, passive and broadband and does not need any synchronization with sources. The experimental demonstration is conducted in a calibrated phantom and in vivo in the brain of two healthy volunteers. Potential applications of this "brain palpation" approach for characterizing brain anomalies and diseases are foreseen.Entities:
Keywords: brain; correlation; elastography
Mesh:
Year: 2015 PMID: 26438877 PMCID: PMC4620887 DOI: 10.1073/pnas.1509895112
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205