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Scatter reduction for grid-less mammography using the convolution-based image post-processing technique

X-ray Mammography examinations are highly affected by scattered radiation, as it degrades the quality of the image and complicates the diagnosis process. Anti-scatter grids are currently used in planar mammography examinations as the standard physical scattering reduction technique. This method has been found to be inefficient, as it increases the dose delivered to the patient, does not remove all the scattered radiation and increases the price of the equipment. Alternative scattering reduction methods, based on post-processing algorithms, are being investigated to substitute anti-scatter grids. Methods such as the convolution-based scatter estimation have lately become attractive as they are quicker and more flexible than pure Monte Carlo (MC) simulations. In this study we make use of this specific method, which is based on the premise that the scatter in the system is spatially diffuse, thus it can be approximated by a two-dimensional low-pass convolution filter of the primary image. This algorithm uses the narrow pencil beam method to obtain the scatter kernel used to convolve an image, acquired without anti-scatter grid. The results obtained show an image quality comparable, in the worst case, to the grid image, in terms of uniformity and contrast to noise ratio. Further improvement is expected when using clinically-representative phantoms

Oliver Díaz is supported by the European Union within the Marie Sklodowska-Curie Innovative Training Networks (H2020-MSCA-IF-2014 SCARtool project, reference 657875) and the Ministry of Economy and Competitiveness of Spain, under project reference DPI2015-68442-R

SPIE Proceedings

Manager: Ministerio de Economía y Competitividad (Espanya)
Author: Marimon, Elena
Nait-Charif, Hammadi
Khan, Asmar
Marsden, Philip A.
Diaz Montesdeoca, Oliver
Date: 2018 June 5
Abstract: X-ray Mammography examinations are highly affected by scattered radiation, as it degrades the quality of the image and complicates the diagnosis process. Anti-scatter grids are currently used in planar mammography examinations as the standard physical scattering reduction technique. This method has been found to be inefficient, as it increases the dose delivered to the patient, does not remove all the scattered radiation and increases the price of the equipment. Alternative scattering reduction methods, based on post-processing algorithms, are being investigated to substitute anti-scatter grids. Methods such as the convolution-based scatter estimation have lately become attractive as they are quicker and more flexible than pure Monte Carlo (MC) simulations. In this study we make use of this specific method, which is based on the premise that the scatter in the system is spatially diffuse, thus it can be approximated by a two-dimensional low-pass convolution filter of the primary image. This algorithm uses the narrow pencil beam method to obtain the scatter kernel used to convolve an image, acquired without anti-scatter grid. The results obtained show an image quality comparable, in the worst case, to the grid image, in terms of uniformity and contrast to noise ratio. Further improvement is expected when using clinically-representative phantoms
Oliver Díaz is supported by the European Union within the Marie Sklodowska-Curie Innovative Training Networks (H2020-MSCA-IF-2014 SCARtool project, reference 657875) and the Ministry of Economy and Competitiveness of Spain, under project reference DPI2015-68442-R
Document access: http://hdl.handle.net/2072/319805
Language: eng
Publisher: SPIE Proceedings
Rights: Tots els drets reservats
Subject: Mama – Radiografia
Breast – Radiography
Imatges digitals
Digital images
Imatgeria mèdica
Imaging systems in medicine
Monte Carlo method
Montecarlo, Mètode de
Mama -- Imatgeria
Mama -- Imaging
Title: Scatter reduction for grid-less mammography using the convolution-based image post-processing technique
Type: info:eu-repo/semantics/article
Repository: Recercat

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