{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T00:36:42Z","timestamp":1788827802665,"version":"build-2803163510"},"reference-count":27,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T00:00:00Z","timestamp":1770854400000},"content-version":"vor","delay-in-days":11,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Medical Physics"],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Artefacts in contrast\u2010enhanced mammography (CEM) can compromise diagnostic image quality. These artefacts may obscure clinically relevant findings or mimic pathological features, potentially leading to misinterpretation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>A virtual imaging trial technique was used to quantify the impact of breast\u2010in\u2010breast and motion artefacts on lesion contrast and signal\u2010difference\u2010to\u2010noise ratio (SDNR) in CEM.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Computational breast phantoms representing four breast density categories were generated, and 5\u00a0mm diameter non\u2010spiculated masses were embedded centrally and peripherally to study the influence of density and the breast\u2010in\u2010breast artefact. Motion artefacts were simulated using two techniques: horizontal and vertical translation of the entire phantom between the low\u2010energy (LE) and high\u2010energy (HE) acquisitions, and simulation of partial paddle release between the two exposures. A Monte Carlo (MC) method was used to model the LE and HE images generated by a Siemens MAMMOMAT B.brilliant system. An offline algorithm with motion correction generated the recombined images. Lesion contrast and SDNR were evaluated for simulated masses with clinically relevant iodine concentrations derived from patient data and QC phantoms.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The breast\u2010in\u2010breast artefact causes contrast and SDNR reductions of up to 76% for peripheral lesions. There was a slight increase in these parameters as breast density increased, due to the fixed weighting factor used by the recombination algorithm. Simulated rigid and non\u2010rigid motion reduced SDNR by up to 60% before motion correction. Activation of\u00a0the motion correction algorithm preserved SDNR for small in\u2010plane displacements, although some residual artefacts remained for non\u2010rigid motion.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>This study highlights the challenges posed by non\u2010uniform breast thickness at the borders and emphasizes the importance of motion correction. Virtual imaging trials provide a powerful, controlled method to study these effects, offering insights that are challenging to obtain from clinical or physical phantom studies alone.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mp.70326","type":"journal-article","created":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T04:01:13Z","timestamp":1770955273000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Impact of common artefacts on mass visibility in contrast\u2010enhanced mammography: A virtual imaging trial"],"prefix":"10.1002","volume":"53","author":[{"given":"Katrien","family":"Houbrechts","sequence":"first","affiliation":[{"name":"Department of Imaging and Pathology Division of Medical Physics KU Leuven  Leuven Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lesley","family":"Cockmartin","sequence":"additional","affiliation":[{"name":"Department of Radiology UZ Leuven  Leuven Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liesbeth","family":"Vancoillie","sequence":"additional","affiliation":[{"name":"Center for Virtual Imaging Trials Carl E. 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