Simona Celi
National Research Council
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Featured researches published by Simona Celi.
Journal of Biomechanics | 2011
P. Di Achille; Simona Celi; F. Di Puccio; Paola Forte
Abdominal aortic aneurysm (AAA) is a cardiovascular disease with high incidence among elderly population. Biomechanical computational analyses can provide fundamental insights into AAA pathogenesis and clinical management, but modeling should be sufficiently accurate. Several constitutive models of the AAA wall are present in the literature, and some of them seem to well describe the experimental behavior of the aneurysmatic human aorta. In this work we compare a two (2FF) and a four (4FF) fiber families constitutive models of the AAA wall. Both these models satisfactorily fit literature data from biaxial tests on the aneurysmatic tissue. To investigate the peculiar characteristics of these models, we considered the problem of AAA inflation, and solved it by implementing the constitutive equations in a finite element code. A 20% axial stretch was imposed to the aneurysm ends, to simulate the physiological condition. Although fitted on the same dataset, the two material models lead to considerably different outcomes. In particular, adopting a 4FF strain energy function (SEF), an increase of the circumferential stress values can be observed, while higher axial stresses are recorded for the 2FF model. These differences can be attributed to the intrinsic characteristics of the SEFs and to the effective stress field, with respect to the one experienced in biaxial experimental tests on which the fitting is based. In fact the two SEFs appear similar within the region of the stress-strain experimental data, but become different outside it, as in case of aneurysms, due to the effects of the data extrapolation process. It is suggested that experimental data should be obtained for conditions similar to those of the application for which they are intended.
Journal of Biomechanical Engineering-transactions of The Asme | 2011
Simona Celi; Francesca Di Puccio; Paola Forte
Among the available tools for the early diagnosis of breast cancer, the elastographic technique based on ultrasounds has many advantages such as the noninvasive measure, the absence of ionizing effects, the high tolerability by patients, and the wide diffusion of the ecographic machines. However this diagnostic procedure is strongly affected by many subjective factors and is considered not reliable enough even to reduce the number of biopsies used to identify the nature of lesions. Therefore in the literature experimental and numerical simulations on physical and virtual phantoms are presented to test and validate procedures and algorithms and to interpret elastosonographic results. In this work, first a description of the elastographic technique and a review of the principal finite element (FE) models are provided and second diagnostic indexes employed to assess the nature of a lump mass are presented. As advances in FE simulations of elastosonography, axisymmetric phantom, and anthropomorphic models are described, which, with respect to the literature, include some features of breast mechanics. In particular deterministic analyses were used to compare the various details of virtual elastograms and also to investigate diagnostic indexes with respect to the regions where strains were considered. In order to improve the reliability of the elastosonographic procedure, univariate and multivariate sensitivity analyses, based on a probabilistic FE approach, were also performed to identify the parameters that mostly influence the deformation contrast between healthy and cancerous tissues. Moreover, synthetic indicators of the strain field, such as the strain contrast coefficient, were evaluated in different regions of interest in order to identify the most suitable for lesion type assessment. The deterministic analyses show that the malignant lesion is characterized by a uniform strain inside the inclusion due to the firmly bonding condition, while in the benign inclusion (loosely bonded) a strain gradient is observed independently from the elastic modulus contrast. The multivariate analyses reveal that the strain contrast depends linearly on the relative stiffness between the lesion and the healthy tissue and not linearly on the interface friction coefficient. The anthropomorphic model shows other interesting features, such as the layer or curvature effects, which introduce difficulties in selecting a reference region for strain assessment. The results show that a simple axisymmetric model with linear elastic material properties can be suitable to simulate the elastosonographic procedure although the breast curvature and layer distinction play a significant role in the strain assessment.
Journal of Biomechanics | 2008
Simona Celi; Francesca Di Puccio
Several pathologies of the mitral valve apparatus, such as mitral valve prolapse (MVP), are intimately related to the mechanical behaviour of the chordae tendineae. The MVP repair, however, has its own set of challenges, such as whether to use synthetic chordae and how similar is their behaviour with respect to the natural element [Maselli, 2007]. In literature, there is still a limited number of studies on the mechanical properties of the natural and synthetic chordae, mainly from Liao-Vesely and from Yoganathan’s group, e.g. [Liao, 2007; Ritchie, 2006], with a contribution also from the authors [Celi, 2006; Maselli, 2007]. The objective of this study is the investigation of mechanical properties of porcine chordae tendineae and a comparison with ePTFE sutures.
Experimental Mechanics | 2012
F. Di Puccio; Simona Celi; Paola Forte
Journal of Biomechanics | 2006
Simona Celi; F. Di Puccio; P. Bajona; D. Maselli
Computer-aided Design | 2012
Francesca Di Puccio; Simona Celi
ESB 2010 | 2010
Simona Celi; Francesca Di Puccio; Paola Forte; S. Berti
XXXVIII Convegno Nazionale AIAS | 2009
Simona Celi; F Di Puccio; Paola Forte; S. Berti; M Mariani
International Journal of Tomography and Simulation | 2010
Simona Celi; P. Di Achille; F. Di Puccio; M. F. SANTARELLIb
ICCB 2009 - International Congress on Computational Bioengineering | 2009
Simona Celi; Francesca Di Puccio; Paola Forte