This is the dataset repo of our paper Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction in IEEE TMI 2024.
In this work, we describe a novel encoder-decoder framework for sparse-view CBCT reconstruction which integrates the inherent geometry of CBCT scanning system.
It produces high quality CBCT reconstructions with sparse input (20 views or less) in a time-efficient manner, which aims to… See the full description on the dataset page:
https://huggingface.co/datasets/Zhentao-Liu/TMI2024_SVCT_dataset.