We present a warp-and-project approach for tomographic reconstruction of time-varying volumes undergoing fast and non-periodic deformations. This method is validated using extensive experiments involving both synthetic and real data.
ACM Transactions on Graphics (Proc. SIGGRAPH), 2019

We present a flexible framework for robust computed tomography (CT) reconstruction with a specific emphasis on recovering thin 1D and 2D manifolds embedded in 3D volumes
ECCV, 2018

We present a method for CT scanning objects that deform during the scanning process. This is achieved with a novel space-time reconstruction method using a joint optimization in 4D.
ACM Transactions on Graphics (Proc. SIGGRAPH), 2018

We provide an overview and perform an experimental comparison between the famous iterative reconstruction methods in terms of reconstruction quality in sparse view situations
Arxiv, 2016



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