Effect of different spectral distributions to image a contrast detail phantom in the mammography energy range

Bottigli, U., Golosio, B., Masala, Giovanni Luca, Oliva, P., Stumbo, S., Bravin, A., Bacci, A., Serafini, L., Maroli, C., Petrillo, V., and others. (2006) Effect of different spectral distributions to image a contrast detail phantom in the mammography energy range. Nuovo Cimento della Societa Italiana di Fisica. C, Geophysics and Space Physics, 29 (2). pp. 215-228. ISSN 1124-1896. (doi:10.1393/ncc/i2005-10196-y) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:92319)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL: http://dx.doi.org/10.1393/ncc/i2005-10196-y

Abstract

Traditionally X-ray sources used in mammography are X-ray tubes. Synchrotron radiation sources have shown better imaging performances, but they cannot replace conventional X-ray tube systems in routine mammographic examinations. A new generation of quasi-monochromatic, high-flux X-ray sources is currently under development, based on Thomson backscattering of photons produced by a laser on a highly focused electron beam. They offer important potential applications in the medical field. In this work, we will discuss an application in the field of mammography, by using a Monte Carlo code, in which the effect of different spectral distributions and different mean energies on the image quality is studied. A test object, consisting of a block of Polymethyl Methacrylate (PMMA) containing air-filled holes (Contrast Detail Phantom) is used for the simulations. Results show 1–2 keV of energy spread for a quasi-monochromatic source produce images whose quality is comparable within 3–4% with those obtained by monochromatic sources and whose visibility is dramatically enhanced with respect to images obtained with X-ray tubes.

Item Type:	Article
DOI/Identification number:	10.1393/ncc/i2005-10196-y
Uncontrolled keywords:	diagnostic techniques; image processing; mammary glands; nuclear medicine; synchrotron radiation sources; body; glands; medicine; organs; processing; radiation sources
Subjects:	Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User:	Amy Boaler
Date Deposited:	14 Dec 2021 11:54 UTC
Last Modified:	16 Dec 2021 15:17 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/92319 (The current URI for this page, for reference purposes)

University of Kent Author Information

Masala, Giovanni Luca.

Creator's ORCID:	https://orcid.org/0000-0001-6734-9424
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