A New Method for 3D Thinning of Hybrid Shaped Porous Media Using Artificial Intelligence. Application to Trabecular Bone

Rachid Jennane (1) , Gabriel Aufort (2) , Claude-Laurent Benhamou (3) , Murat Ceylan , Yüksel Özbay , Osman Nuri Ucan (4)

1 IRAUS - Département Images, Robotique, Automatique et Signal [Orléans]
2 Ludia Inc.
3 INSERM U658
4 Dept. of Electrical Electronics Engineering (Istanbul Aydin University)

Curve and surface thinning are widely-used skeletonization techniques for modeling objects in 3 dimensions. In the case of disordered porous media analysis, however, neither is really efficient since the internal geometry of the object is usually composed of both rod and plate shapes. This paper presents an alternative to compute a hybrid shape-dependant skeleton and its application to porous media. The resulting skeleton combines 2D surfaces and 1D curves to represent respectively the plate-shaped and rod-shaped parts of the object. For this purpose, a new technique based on neural networks is proposed: cascade combinations of complex wavelet transform (CWT) and complex-valued artificial neural network (CVANN). The ability of the skeleton to characterize hybrid shaped porous media is demonstrated on a trabecular bone sample. Results show that the proposed method achieves high accuracy rates about 99.78 % - 99.97 %. Especially, CWT (2nd level)-CVANN structure converges to optimum results as high accuracy rate - minimum time consumption

Mots clés: Complex wavelet transform; Complex-valued artificial neural network; skeleton; 3D thinning

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Rachid Jennane, Gabriel Aufort, Claude-Laurent Benhamou, Murat Ceylan, Yüksel Özbay, et al.. A New Method for 3D Thinning of Hybrid Shaped Porous Media Using Artificial Intelligence. Application to Trabecular Bone. Journal of Medical Systems, 2012, 36 (2), pp.497-510. ⟨10.1007/s10916-010-9495-y⟩. ⟨hal-00657652⟩