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dc.contributor.authorSaid, Sarah
dc.date.accessioned2024-08-28T04:04:49Z
dc.date.available2024-08-28T04:04:49Z
dc.date.issued2024
dc.date.submitted2024-08-27T10:03:49Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/92887
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/143338
dc.description.abstractThis work proposes a novel method for a matching tool between MRI and spot mammograms. Two registration methods are used : a biomechanical model based registration between MRI and full X-ray mammograms, followed by an image based registration between full and spot mammograms. The proposed methods have been tested using 51 patients from the Medical University of Vienna. For the analyzed dataset, the proposed methods showed not only promising results but also the feasibility of clinical use.
dc.languageEnglish
dc.rightsopen access
dc.subject.otherClinical Use; Deep Learning algorithms; Accumulative Registration; Image Based Registration; Biomechanical Model Registration; Klinische Anwendung; Deep Learning Algorithmen; Akkumulative Registrierung; Bildbasierte Registrierung; Registrierung Biomechanischer Modelle
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
dc.titleImage registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsy
dc.typebook
oapen.identifier.doi10.5445/KSP/1000170686
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.pages262


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open access
Except where otherwise noted, this item's license is described as open access