Detailed analysis of scatter contribution from different simulated geometries of X-ray detectors

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Authors: Marimon, E., Nait-Charif, H., Khan, A., Marsden, P.A. and Díaz, O.

Editors: Tingberg, A., Lång, K. and Timberg, P.

http://eprints.bournemouth.ac.uk/33567/

https://doi.org/10.1007/978-3-319-41546-8

Journal: Digital Mammography / IWDM

Volume: 9699

Pages: 203-210

Publisher: Springer

ISBN: 978-3-319-41545-1

This data was imported from Scopus:

Authors: Marimon, E., Nait-Charif, H., Khan, A., Marsden, P.A. and Diaz, O.

http://eprints.bournemouth.ac.uk/33567/

Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume: 9699

Pages: 203-210

eISSN: 1611-3349

ISBN: 9783319415451

ISSN: 0302-9743

DOI: 10.1007/978-3-319-41546-8_27

© Springer International Publishing Switzerland 2016. Scattering is one of the main issues left in planar mammography examinations, as it degrades the quality of the image and complicates the diagnostic process. Although widely used, anti-scatter grids have been found to be inefficient, increasing the dose delivered, the equipment price and not eliminating all the scattered radiation. Alternative scattering reduction methods, based on post-processing algorithms using Monte Carlo (MC) simulations, are being developed to substitute anti-scatter grids. Idealized detectors are commonly used in the simulations for the purpose of simplification. In this study, the scatter distribution of three detector geometries is analyzed and compared: Case 1 makes use of idealized detector geometry, Case 2 uses a scintillator plate and Case 3 uses a more realistic detector simulation, based on the structure of an indirect mammography X-ray detector. This paper demonstrates that common configuration simplifications may introduce up to 14% of underestimation of the scatter in simulation results.

This data was imported from Web of Science (Lite):

Authors: Marimon, E., Nait-Charif, H., Khan, A., Marsden, P.A. and Diaz, O.

http://eprints.bournemouth.ac.uk/33567/

Journal: BREAST IMAGING, IWDM 2016

Volume: 9699

Pages: 203-210

ISBN: 978-3-319-41545-1

ISSN: 0302-9743

DOI: 10.1007/978-3-319-41546-8_27

The data on this page was last updated at 05:19 on April 6, 2020.