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

Intraoperative 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...

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Autor principal: Meißner, Tobias
Formato: Online
Lenguaje:inglés
Publicado: KIT Scientific Publishing 2025
Materias:
Machine Learning; Image Reconstruction; Coded Aperture Imaging; Radio-guided Surgery; Gamma Camera; Maschinelles Lernen; Bildrekonstruktion; Kodierte Apertur; Sonden-geführte Eingriffe; Gamma-Kamera
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
Acceso en línea:https://library.oapen.org/handle/20.500.12657/98207
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Sumario:Intraoperative 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.

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