Literature DB >> 20056197

Experimental validation of a radiographic simulation code using breast phantom for X-ray imaging.

K Bliznakova1, R Speller, J Horrocks, P Liaparinos, Z Kolitsi, N Pallikarakis.   

Abstract

Computer models and simulations of X-ray imaging systems are becoming a very precious tool during the development and evaluation of new X-ray imaging techniques. To provide, however, a faithful simulation of a system, all components must be accurately modelled and tested, followed by verification through experimental measurements. This paper presents a validation study of the XRayImagingSimulator, an in-house developed X-ray imaging simulator, which is extensively used as a basic tool in carrying out complex breast imaging simulations. The approach followed compares results obtained via an experimental setup for breast phantom (CIRS 011A) imaging, using synchrotron radiation (SYRMEP beamline at ELETTRA), with those from its simulated setup under the same conditions. The study demonstrated a very good agreement between experimental and simulated images compared both in terms of subjective and objective criteria. The combination of the XRayImagingSimulator with our BreastSimulator provides a powerful tool for in silico testing of new X-ray breast imaging approaches. 2009 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20056197     DOI: 10.1016/j.compbiomed.2009.11.017

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  3 in total

1.  Phantom-based comparison of conventional versus phase-contrast mammography for LCD soft-copy diagnosis.

Authors:  Akiko Ihori; Naotoshi Fujita; Akihiro Sugiura; Naruomi Yasuda; Yoshie Kodera
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-12-23       Impact factor: 2.924

2.  Breast tomosynthesis with monochromatic beams: a feasibility study using Monte Carlo simulations.

Authors:  A Malliori; K Bliznakova; I Sechopoulos; Z Kamarianakis; B Fei; N Pallikarakis
Journal:  Phys Med Biol       Date:  2014-08-01       Impact factor: 3.609

3.  Patch Based Grid Artifact Suppressing in Digital Mammography.

Authors:  Qingqing Ling; Shuyu Wu; Xiaoman Duan; Genggeng Qin; Jianhui Ma; Chaomin Chen; Hongliang Qi; Linghong Zhou; Yuan Xu
Journal:  Biomed Res Int       Date:  2018-08-12       Impact factor: 3.411

  3 in total

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