Design and use of computational models for contrast-enhanced spectral mammography

Introduction: Contrast-enhanced spectral mammography (CESM) is a new technique for cancer investigations. The application of this to screen the breast would result in contrast improvement different lesions. This can be effectively ensured by use phantoms. Computational phantoms are one ways investigate characteristics received image and thus evaluate whole technique. Aim: aim study validate analyse design three computational CESM. Materials Methods: An in-house software tool was used create phantoms, consisting iodinated inserts simulation CESM procedure. modelled from Omnipaque, have radius 8–10 mm varying height. made polymethyl methacrylate (PMMA), with shape composition. One characterised heterogeneous background. For each phantom two x-ray radiographs were generated, at energy 20keV 34 keV. images processed obtain recombined iodine image, which shows agent suppresses surrounding background tissue. Results: Simulated demonstrated great quality compared low-energy simulations inhomogeneous model revealed that has been successively depressed while improving visibility inserts. Conclusion: might as reference information about needed concentration needs inserted during procedure significant enhancement suspicious area.