Gradient-based geometry learning for fan-beam CT reconstruction

Objective. Incorporating computed tomography (CT) reconstruction operators into differentiable pipelines has proven beneficial in many applications. Such approaches usually focus on the projection data and keep the acquisition geometry fixed. However, precise knowledge of the acquisition geometry is...

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Veröffentlicht in:	Physics in medicine & biology 2023-10, Vol.68 (20), p.205004
Hauptverfasser:	Thies, Mareike, Wagner, Fabian, Maul, Noah, Folle, Lukas, Meier, Manuela, Rohleder, Maximilian, Schneider, Linda-Sophie, Pfaff, Laura, Gu, Mingxuan, Utz, Jonas, Denzinger, Felix, Manhart, Michael, Maier, Andreas
Format:	Artikel
Sprache:	eng
Schlagworte:	computed tomography differentiable programming motion compensation projective geometry
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