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Development and Evaluation of Coded Aperture Reconstruction Methods for Intraoperative Gamma Cameras

dc.contributor.authorMeißner, Tobias
dc.date.accessioned2025-02-17T06:28:26Z
dc.date.available2025-02-17T06:28:26Z
dc.date.issued2024
dc.date.submitted2025-02-05T09:42:39Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/98207
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/151320
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.
dc.languageEnglish
dc.relation.ispartofseriesKarlsruhe transactions on biomedical engineering
dc.rightsopen access
dc.subject.otherMachine Learning; Image Reconstruction; Coded Aperture Imaging; Radio-guided Surgery; Gamma Camera; Maschinelles Lernen; Bildrekonstruktion; Kodierte Apertur; Sonden-geführte Eingriffe; Gamma-Kamera
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
dc.titleDevelopment and Evaluation of Coded Aperture Reconstruction Methods for Intraoperative Gamma Cameras
dc.typebook
oapen.identifier.doi10.5445/KSP/1000176008
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.pages220
oapen.place.publicationKarlsruhe
dc.seriesnumber26


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