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dc.contributor.authorMeißner, Tobias
dc.date.accessioned2025-02-05T09:42:39Z
dc.date.available2025-02-05T09:42:39Z
dc.date.issued2024
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/98207
dc.description.abstractIntraoperative Gamma Cameras are becoming increasingly common for radio-guided surgery. Coded Aperture Imaging has been proposed as a collimation technique, because it offers a better trade-off between sensitivity and spatial resolution, but requires image reconstruction. Therefore, a Convolutional Encoder-Decoder Network was developed and quantitatively compared with analytical methods. Furthermore, 3D-localization of point-like sources was investigated.en_US
dc.languageEnglishen_US
dc.relation.ispartofseriesKarlsruhe transactions on biomedical engineeringen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineeringen_US
dc.subject.otherMachine Learning; Image Reconstruction; Coded Aperture Imaging; Radio-guided Surgery; Gamma Camera; Maschinelles Lernen; Bildrekonstruktion; Kodierte Apertur; Sonden-geführte Eingriffe; Gamma-Kameraen_US
dc.titleDevelopment and Evaluation of Coded Aperture Reconstruction Methods for Intraoperative Gamma Camerasen_US
dc.typebook
oapen.identifier.doi10.5445/KSP/1000176008en_US
oapen.relation.isPublishedBy44e29711-8d53-496b-85cc-3d10c9469be9en_US
oapen.collectionAG Universitätsverlage
oapen.series.number26en_US
oapen.pages220en_US
oapen.place.publicationKarlsruheen_US


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