title: Simulation of lung nodules in chest tomosynthesis.
abstract: The aim of the present work was to develop an adequate method for simulating lung nodules in clinical chest tomosynthesis images. Based on the visual appearance of real nodules, artificial, three-dimensional nodules with irregular shape and surface structure were created using an approach of combining spheres of different sizes and central points. The nodules were virtually positioned at the desired locations inside the patient and by using the known geometry of the tomosynthesis acquisition, the radiation emitted from the focal spot, passing through the nodule and reaching the detector could be simulated. The created nodules were thereby projected into raw-data tomosynthesis projection images before reconstruction of the tomosynthesis section images. The focal spot size, signal spread in the detector, scattered radiation, patient motion and existing anatomy at the location of the nodule were taken into account in the simulations. It was found that the blurring caused by the modulation transfer function and the patient motion overshadows the effects of a finite focal spot and aliasing and also obscures the surface structure of the nodules, which provides an opportunity to simplify the simulations and decrease the simulation times. Also, the limited in-depth resolution of the reconstructed tomosynthesis section images reduces the necessity to take details of the anatomical structures at the location of the inserted nodule into account.
authors.affiliation: Department of Radiation Physics, University of Gothenburg, SE-413 45 Gothenburg, Sweden. angelica.svalkvist@vgregion.se
authors.forename: Angelica
authors.initials: A
authors.lastname: Svalkvist
authors.forename: Markus
authors.initials: M
authors.lastname: Håkansson
authors.forename: Gustaf
authors.initials: G
authors.lastname: Ullman
authors.forename: Magnus
authors.initials: M
authors.lastname: Båth
mesh_terms: D003198:Computer Simulation; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D016247:Information Storage and Retrieval / Q000379:methods*; D008175:Lung Neoplasms / Q000000981:diagnostic imaging*; D008954:Models, Biological; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D013902:Radiography, Thoracic / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D003074:Solitary Pulmonary Nodule / Q000000981:diagnostic imaging*; D014057:Tomography, X-Ray Computed / Q000379:methods*