caa a22 4500 605545294 CHVBK 20210128100935.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s00723-015-0677-0 doi (NATIONALLICENCE)springer-10.1007/s00723-015-0677-0 High-Precision MRI Reconstruction Algorithm for 3D Sphere Packings [Elektronische Daten] [R. Balzan, A. Sellerio, D. Mari, A. Comment] Packings of granular materials are complex systems consisting of large sets of particles interacting via contact forces. Their internal structure is interesting for several theoretical and practical reasons, especially when the model system consists in a large amount (up to 105) of identical spheres. We herein present a method to process three-dimensional water density maps recorded in wet granular packings of mm-size spheres by magnetic resonance imaging (MRI). Packings of spheres with highly mono-dispersed diameter are considered and the implementation of an ad hoc reconstruction algorithm tailored for this feature allows for the determination of the position of each single sphere with an unprecedented precision (with respect to the scale of the system) while ensuring that all spheres are identified and no non-existing sphere is introduced in the reconstructed packing. The reconstruction of a 0.5 L sample containing about 2×104 spheres is presented to demonstrate the robustness of the method. Springer-Verlag Wien, 2015 Balzan R. Institute of Physics of Biological Systems, EPFL, 1015, Lausanne, Switzerland aut Sellerio A. Institute of Condensed Matter Physics, EPFL, 1015, Lausanne, Switzerland aut Mari D. Institute of Condensed Matter Physics, EPFL, 1015, Lausanne, Switzerland aut Comment A. Institute of Physics of Biological Systems, EPFL, 1015, Lausanne, Switzerland aut Applied Magnetic Resonance Springer Vienna 46/6(2015-06-01), 633-642 0937-9347 46:6<633 2015 46 723 https://doi.org/10.1007/s00723-015-0677-0 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00723-015-0677-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Balzan R. Institute of Physics of Biological Systems, EPFL, 1015, Lausanne, Switzerland aut NATIONALLICENCE 700 1- Sellerio A. Institute of Condensed Matter Physics, EPFL, 1015, Lausanne, Switzerland aut NATIONALLICENCE 700 1- Mari D. Institute of Condensed Matter Physics, EPFL, 1015, Lausanne, Switzerland aut NATIONALLICENCE 700 1- Comment A. Institute of Physics of Biological Systems, EPFL, 1015, Lausanne, Switzerland aut NATIONALLICENCE 773 0- Applied Magnetic Resonance Springer Vienna 46/6(2015-06-01), 633-642 0937-9347 46:6<633 2015 46 723