2017
DOI: 10.1016/j.ejmp.2017.04.024
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Evaluation of a breast software model for 2D and 3D X-ray imaging studies of the breast

Abstract: The computational breast phantoms showed a close match with their physical versions. The detailed mathematical analysis of the images confirms the agreement between real and simulated 2D mammography and tomosynthesis images. The software phantom is ready for optimization purpose and extrapolation of the phantom to other breast imaging techniques.

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Cited by 22 publications
(17 citation statements)
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“…The investigation of patient specific breast models has been addressed by few research groups [25][26][27][28]. There is the need to better assess the influence of the texture and spatial location of the glandular tissue on the MGD estimates [8,25,29].…”
Section: Introductionmentioning
confidence: 99%
“…The investigation of patient specific breast models has been addressed by few research groups [25][26][27][28]. There is the need to better assess the influence of the texture and spatial location of the glandular tissue on the MGD estimates [8,25,29].…”
Section: Introductionmentioning
confidence: 99%
“…They can produce clinical outcomes data and avoid ethical issues and costs related to real clinical trials with a patient population. Generally, analytical approaches are usually adopted for breast projection computation [4][5][6][7] in order to keep the computational time and power consumption low, but in this approach photon scatter estimation is not usually taken into account. In order to overcome such limitation, recent research projects 8,9 have explored the possibility of simulating DM and Digital Breast Tomosynthesis (DBT) by means of Monte Carlo simulations.…”
Section: 67mentioning
confidence: 99%
“…Modern breast imaging techniques can be two-dimensional (digital mammography, dual energy and contrast-enhanced mammography, the advanced monochromatic, and phase-contrast imaging) or three-dimensional (tomosynthesis, and breast CT). Baneva Y. et al [17] presented the evaluation of a computational breast phantom, which closely mimics the structure (shape, dimensions, and content), and X-ray imaging characteristics of the corresponding real physical breast phantom for applications in mammography, and tomosynthesis.…”
Section: Diagnostic and Interventional Radiologymentioning
confidence: 99%