title: Development and analysis of a finite element model to simulate pulmonary emphysema in CT imaging.
abstract: In CT imaging, pulmonary emphysema appears as lung regions with Low-Attenuation Areas (LAA). In this study we propose a finite element (FE) model of lung parenchyma, based on a 2-D grid of beam elements, which simulates pulmonary emphysema related to smoking in CT imaging. Simulated LAA images were generated through space sampling of the model output. We employed two measurements of emphysema extent: Relative Area (RA) and the exponent D of the cumulative distribution function of LAA clusters size. The model has been used to compare RA and D computed on the simulated LAA images with those computed on the models output. Different mesh element sizes and various model parameters, simulating different physiological/pathological conditions, have been considered and analyzed. A proper mesh element size has been determined as the best trade-off between reliable results and reasonable computational cost. Both RA and D computed on simulated LAA images were underestimated with respect to those calculated on the models output. Such underestimations were larger for RA (≈ -44 ÷ -26%) as compared to those for D (≈ -16 ÷ -2%). Our FE model could be useful to generate standard test images and to design realistic physical phantoms of LAA images for the assessment of the accuracy of descriptors for quantifying emphysema in CT imaging.
authors.forename: Stefano
authors.initials: S
authors.lastname: Diciotti
authors.forename: Alessandro
authors.initials: A
authors.lastname: Nobis
authors.forename: Stefano
authors.initials: S
authors.lastname: Ciulli
authors.forename: Nicholas
authors.initials: N
authors.lastname: Landini
authors.forename: Mario
authors.initials: M
authors.lastname: Mascalchi
authors.forename: Nicola
authors.initials: N
authors.lastname: Sverzellati
authors.forename: Bernardo
authors.initials: B
authors.lastname: Innocenti
mesh_terms: D020342:Finite Element Analysis; D006801:Humans; D008168:Lung / Q000000981:diagnostic imaging; D008954:Models, Biological; D011656:Pulmonary Emphysema / Q000000981:diagnostic imaging*; D012907:Smoking; D014057:Tomography, X-Ray Computed / Q000379:methods*