Paolo Russo
University of Naples Federico II
Imaging phantomOpticsPhysicsPixelSynchrotron radiationTomographyBeam (structure)KermaMaterials scienceMonte Carlo methodMedical physicsImage resolutionBreast imagingScannerMammographyDigital mammographyNuclear medicineComputer scienceImage qualityMedicineDosimetryDetector
Publications 167
#1Stoyko Marinov (Katholieke Universiteit Leuven)H-Index: 3
#2Ivan BulievH-Index: 9
Last. Kristina Bliznakova (Medical University of Varna)H-Index: 2
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Abstract null null Background and Objective null The development, control and optimisation of new x-ray breast imaging modalities could benefit from a quantitative assessment of the resulting image textures. The aim of this work was to develop a software tool for routine radiomics applications in breast imaging, which will also be available upon request. null null null Methods null The tool (developed in MATLAB) allows image reading, selection of Regions of Interest (ROI), analysis and compariso...
#1Lorenzo PlacidiH-Index: 7
#2Roberta CastriconiH-Index: 6
Last. Cristina Garibaldi (IEO: European Institute of Oncology)H-Index: 22
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Abstract null null Purpose null Within the Italian Association of Medical Physics and Health Physics (AIFM) working group “FutuRuS” we carried out a survey regarding the number of the peer-reviewed articles by AIFM members. null null null Methods null We surveyed papers published in the years 2015–2019. Data extracted from Scopus included information regarding authors, title, journal, impact factor (IF), leading or standard authorship by AIFM members, keywords, type of collaboration (monocentric...
#1Federica Zanca (Katholieke Universiteit Leuven)H-Index: 14
#2M. AvanzoH-Index: 1
Last. Mika Kortesniemi (UH: University of Helsinki)H-Index: 22
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#1Antonio SarnoH-Index: 13
#2Giovanni MettivierH-Index: 22
Last. Paolo RussoH-Index: 24
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PURPOSE To present a dataset of computational digital breast phantoms derived from high-resolution 3D clinical breast images for the use in virtual clinical trials in 2D and 3D x-ray breast imaging. ACQUISITION AND VALIDATION METHODS Uncompressed computational breast phantoms for investigations in dedicated breast CT (BCT) were derived from 150 clinical 3D breast images acquired via a BCT scanner at UC Davis (California, USA). Each image voxel was classified in one out of the four main materials...
1 CitationsSource
Voxel-wise group analysis is presented as a novel feature selection (FS) technique for a deep learning (DL) approach to brain imaging data classification. The method, based on a voxel-wise two-sample t-test and denoted as t-masking, is integrated into the learning procedure as a data-driven FS strategy. t-Masking has been introduced in a convolutional neural network (CNN) for the test bench of binary classification of very-mild Alzheimer's disease vs. normal control, using a structural magnetic ...
#1Slavik TabakovH-Index: 3
#2Perry SprawlsH-Index: 1
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#1Antonio Sarno (INFN: Istituto Nazionale di Fisica Nucleare)H-Index: 13
Last. Paolo RussoH-Index: 24
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This work aims at calculating and releasing tabulated values of dose conversion coefficients, DgNDBT, for mean glandular dose (MGD) estimates in digital breast tomosynthesis (DBT). The DgNDBT coefficients are proposed in order to have an unique conversion coefficient for MGD estimates, in place of dose conversion coefficients in mammography (DgNDMorc,g,striad as proposed in worldwide quality assurance protocols) used together with the T correction factor. DgNDBTis the MGD per unit incident air k...
1 CitationsSource
#2Perry SprawlsH-Index: 1
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#1Raffaele M. Tucciariello (UniPi: University of Pisa)H-Index: 3
#2Patrizio Barca (UniPi: University of Pisa)H-Index: 3
Last. Maria Evelina Fantacci (UniPi: University of Pisa)H-Index: 20
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2 CitationsSource
#1Kristina Bliznakova (Medical University of Varna)H-Index: 2
#2Nikiforos Okkalidis (University of Malta)H-Index: 3
Last. Zhivko Bliznakov (Medical University of Varna)H-Index: 8
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Anthropomorphic physical phantoms in radiology permit unlimited exposure. In breast imaging, they are used to validate, evaluate and optimise novel imaging techniques for screening and diagnosis, as well as for systems’ quality control. The purpose of this study is to exploit three technologies for manufacturing of 3D breast phantoms and assessed their anatomical and radiological realism through specific x-ray imaging examinations.