Quantitative parametric imaging by ultrasound computed tomography of trees under anisotropic conditions: Numerical case study

Espinosa Luis, Prieto Flavio, Brancheriau Loïc, Lasaygues Philippe. 2020. Quantitative parametric imaging by ultrasound computed tomography of trees under anisotropic conditions: Numerical case study. Ultrasonics, 102:106060, 13 p.

https://doi.org/10.1016/j.ultras.2019.106060

Article de revue ; Article de recherche ; Article de revue à facteur d'impact

Version publiée - Anglais
Accès réservé aux personnels Cirad
Utilisation soumise à autorisation de l'auteur ou du Cirad.
595848.pdf
Télécharger (3MB) | Demander une copie

Quartile : Q2, Sujet : ACOUSTICS / Quartile : Q3, Sujet : RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Résumé : A method for the reconstruction of 2D tomographic images adapted to wood was presented, aiming to perform a nondestructive evaluation of standing trees. The proposed method takes into account the orthotropy property of wood material, performing an iterative process that approximated the curved rays. A slowness function was defined for every cell and a nonlinear regression allowed the mapping of the inner elastic constants. Four numerical configurations were tested representing real cases usually found in standing tree monitoring. These specific configurations allowed this work to focus on the analysis of the effect of anisotropy on image reconstruction. The reconstructed images using the proposed method were compared with a straight-ray reconstruction method (filtered back projection algorithm), highlighting a more detailed identification and quantification of the inner state of the anisotropic structure of the trunk.

Mots-clés Agrovoc : imagerie, tomographie, bois

Mots-clés complémentaires : Anisotropie

Mots-clés libres : Wood, Anisotropy, Acoustic imaging

Classification Agris : U30 - Méthodes de recherche
K01 - Foresterie - Considérations générales

Champ stratégique Cirad : CTS 7 (2019-) - Hors champs stratégiques

Auteurs et affiliations