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Published in:
2020 | OriginalPaper | Chapter
Abstract: Deep Learning Based CT-CBCT Image Registration for Adaptive Radio Therapy
Authors : Sven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, Stefan Heldmann
Published in: Bildverarbeitung für die Medizin 2020
Publisher: Springer Fachmedien Wiesbaden
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Deformable image registration (DIR) is an important tool in radio therapy where it is used in order to align a baseline CT and daily low-dose cone beam CT (CBCT) scans. DIR allows the propagation of irradiation plans, Hounsfield units and contours of anatomical structures, respectively, which enables tracking of applied doses over time and generation of daily synthetic CT images. Furthermore, DIR allows to overcome segmentation of structures in CBCT images at each fraction.