A semi-empirical model for scatter field reduction in digital mammography

dc.contributor.authorMarimon Muñoz, Elena
dc.contributor.authorMarsden, Phil A.
dc.contributor.authorNait-Charif, Hammadi
dc.contributor.authorDíaz, Oliver
dc.date.accessioned2022-11-11T09:44:08Z
dc.date.available2022-11-11T09:44:08Z
dc.date.issued2021-02-01
dc.date.updated2022-11-11T09:44:08Z
dc.description.abstractX-ray mammography is the gold standard technique in breast cancer screening programmes. One of the main challenges that mammography is still facing is scattered radiation, which degrades the quality of the image and complicates the diagnosis process. Anti-scatter grids, the main standard physical scattering reduction technique, have some unresolved challenges as they increase the dose delivered to the patient, do not remove all the scattered radiation and increase the cost of the equipment. Alternative scattering reduction methods based on post-processing algorithms, have lately been under investigation. This study is concerned with the use of image post-processing to reduce the scatter contribution in the image, by convolving the primary plus scatter image with kernels obtained from simplified Monte Carlo (MC) simulations. The proposed semi-empirical approach uses up to five thickness-dependant symmetric kernels to accurately estimate the scatter contribution of different areas of the image. Single breast thickness-dependant kernels can over-estimate the scatter signal up to 60%, while kernels adapting to local variations have to be modified for each specific case adding high computational costs. The proposed method reduces the uncertainty to a 4%-10% range for a 35-70 mm breast thickness range, making it a very efficient, case-independent scatter modelling technique. To test the robustness of the method, the scattered corrected image has been successfully compared against full MC simulations for a range of breast thicknesses. In addition, clinical images of the 010A CIRS phantom were acquired with a mammography system with and without the presence of the anti-scatter grid. The grid-less images were post-processed and their quality was compared against the grid images, by evaluating the contrast-to-noise ratio and variance ratio using several test objects, which simulate calcifications and tumour masses. The results obtained show that the method reduces the scatter to similar levels than the anti-scatter grids.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec713648
dc.identifier.issn0031-9155
dc.identifier.urihttps://hdl.handle.net/2445/190707
dc.language.isoeng
dc.publisherIOP Publishing
dc.relation.isformatofVersió postprint del document publicat a: https://doi.org/10.1088/1361-6560/abd231
dc.relation.ispartofPhysics in Medicine and Biology, 2021, vol. 66, num. 4
dc.relation.urihttps://doi.org/10.1088/1361-6560/abd231
dc.rights(c) IOP Publishing, 2021
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.sourceArticles publicats en revistes (Matemàtiques i Informàtica)
dc.subject.classificationMètode de Montecarlo
dc.subject.classificationDiagnòstic per la imatge
dc.subject.classificationMamografia
dc.subject.classificationProcessament digital d'imatges
dc.subject.otherMonte Carlo method
dc.subject.otherDiagnostic imaging
dc.subject.otherMammography
dc.subject.otherDigital image processing
dc.titleA semi-empirical model for scatter field reduction in digital mammography
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion

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