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dc.contributor.authorSaid, Sarah
dc.date.accessioned2024-08-27T10:03:49Z
dc.date.available2024-08-27T10:03:49Z
dc.date.issued2024
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/92887
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.en_US
dc.languageEnglishen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineeringen_US
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 Modelleen_US
dc.titleImage registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsyen_US
dc.typebook
oapen.identifier.doi10.5445/KSP/1000170686en_US
oapen.relation.isPublishedBy44e29711-8d53-496b-85cc-3d10c9469be9en_US
oapen.pages262en_US
peerreview.anonymityAll identities known
peerreview.id8ad5c235-9810-49eb-b358-27c8675324d9
peerreview.open.reviewNo
peerreview.publish.responsibilityScientific or Editorial Board
peerreview.review.stagePre-publication
peerreview.review.typeFull text
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.titleDissertations (Dissertationen)


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