Literature DB >> 26371655

Bridging Three Orders of Magnitude: Multiple Scattered Waves Sense Fractal Microscopic Structures via Dispersion.

Simon A Lambert1,2, Sven Peter Näsholm3, David Nordsletten2, Christian Michler2, Lauriane Juge4,5, Jean-Michel Serfaty6, Lynne Bilston4,7, Bojan Guzina8, Sverre Holm9, Ralph Sinkus2.   

Abstract

Wave scattering provides profound insight into the structure of matter. Typically, the ability to sense microstructure is determined by the ratio of scatterer size to probing wavelength. Here, we address the question of whether macroscopic waves can report back the presence and distribution of microscopic scatterers despite several orders of magnitude difference in scale between wavelength and scatterer size. In our analysis, monosized hard scatterers 5  μm in radius are immersed in lossless gelatin phantoms to investigate the effect of multiple reflections on the propagation of shear waves with millimeter wavelength. Steady-state monochromatic waves are imaged in situ via magnetic resonance imaging, enabling quantification of the phase velocity at a voxel size big enough to contain thousands of individual scatterers, but small enough to resolve the wavelength. We show in theory, experiments, and simulations that the resulting coherent superposition of multiple reflections gives rise to power-law dispersion at the macroscopic scale if the scatterer distribution exhibits apparent fractality over an effective length scale that is comparable to the probing wavelength. Since apparent fractality is naturally present in any random medium, microstructure can thereby leave its fingerprint on the macroscopically quantifiable power-law exponent. Our results are generic to wave phenomena and carry great potential for sensing microstructure that exhibits intrinsic fractality, such as, for instance, vasculature.

Mesh:

Year:  2015        PMID: 26371655     DOI: 10.1103/PhysRevLett.115.094301

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  8 in total

Review 1.  Stiffness and Beyond: What MR Elastography Can Tell Us About Brain Structure and Function Under Physiologic and Pathologic Conditions.

Authors:  Ziying Yin; Anthony J Romano; Armando Manduca; Richard L Ehman; John Huston
Journal:  Top Magn Reson Imaging       Date:  2018-10

Review 2.  MR elastography of the brain and its application in neurological diseases.

Authors:  Matthew C Murphy; John Huston; Richard L Ehman
Journal:  Neuroimage       Date:  2017-10-07       Impact factor: 6.556

Review 3.  Multiphysics and multiscale modelling, data-model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics.

Authors:  Radomir Chabiniok; Vicky Y Wang; Myrianthi Hadjicharalambous; Liya Asner; Jack Lee; Maxime Sermesant; Ellen Kuhl; Alistair A Young; Philippe Moireau; Martyn P Nash; Dominique Chapelle; David A Nordsletten
Journal:  Interface Focus       Date:  2016-04-06       Impact factor: 3.906

4.  Spring-damper equivalents of the fractional, poroelastic, and poroviscoelastic models for elastography.

Authors:  Sverre Holm
Journal:  NMR Biomed       Date:  2017-11-27       Impact factor: 4.044

Review 5.  Magnetic Resonance Elastography of Rodent Brain.

Authors:  Mathilde Bigot; Fabien Chauveau; Olivier Beuf; Simon A Lambert
Journal:  Front Neurol       Date:  2018-11-27       Impact factor: 4.003

6.  The 3D Spatial Autocorrelation of the Branching Fractal Vasculature.

Authors:  Kevin J Parker; Jonathan J Carroll-Nellenback; Ronald W Wood
Journal:  Acoustics (Basel)       Date:  2019-04-09

7.  Magnetic resonance elastography of skeletal muscle deep tissue injury.

Authors:  Jules L Nelissen; Ralph Sinkus; Klaas Nicolay; Aart J Nederveen; Cees W J Oomens; Gustav J Strijkers
Journal:  NMR Biomed       Date:  2019-03-21       Impact factor: 4.044

8.  Mechanical properties of murine hippocampal subregions investigated by atomic force microscopy and in vivo magnetic resonance elastography.

Authors:  Anna S Morr; Marcin Nowicki; Gergely Bertalan; Rafaela Vieira Silva; Carmen Infante Duarte; Stefan Paul Koch; Philipp Boehm-Sturm; Ute Krügel; Jürgen Braun; Barbara Steiner; Josef A Käs; Thomas Fuhs; Ingolf Sack
Journal:  Sci Rep       Date:  2022-10-06       Impact factor: 4.996

  8 in total

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