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

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

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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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Keywords

  • Bildrekonstruktion
  • Coded Aperture Imaging
  • Gamma Camera
  • Gamma-Kamera
  • Image reconstruction
  • Kodierte Apertur
  • Machine learning
  • Maschinelles Lernen
  • Radio-guided Surgery
  • Sonden-geführte Eingriffe

Links

DOI: 10.5445/KSP/1000176008

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