Zorgani Ali, Souchon Rémi, Dinh Au-Hoang, Chapelon Jean-Yves, Ménager Jean-Michel, Lounis Samir, Rouvière Olivier, Catheline Stefan
Inserm, U1032, LabTau, Lyon, F-69003, France; Université Lyon 1, Lyon, F-69003, France;
Centre Radiologie Imagerie par Résonance Magnétique (IRM) Préssensé, Villeurbanne, F-69100, France;
Proc Natl Acad Sci U S A. 2015 Oct 20;112(42):12917-21. doi: 10.1073/pnas.1509895112. Epub 2015 Oct 5.
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.
我们提出了一种用于组织表征的磁共振弹性成像方法,该方法受地震噪声相关性和时间反转的启发。其原理是从由心脏运动、血液搏动和任何肌肉活动引起的活体组织中的自然剪切波中提取弹性信息。与其他磁共振弹性成像技术相比,这种基于噪声的方法是被动式且具有宽带特性的,并且不需要与源进行任何同步。实验验证在经过校准的模型以及两名健康志愿者的大脑中进行了体内实验。预计这种“脑部触诊”方法在表征脑部异常和疾病方面具有潜在应用。