Abstract
In four-dimensional cone-beam computed tomography (4DCBCT), there is a trade-off between the image quality and radiation dose depending on the gantry speed. A higher gantry speed is desirable for short scanning time and low radiation dose, but the image quality is degraded because it leads to reduced number of projections in each individual respiratory phase. The aim of this study is to develop a novel compressed sensing based formalism for high quality 4DCBCT image reconstruction with sparse and potentially low dose projections.
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