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Found 4 papers, 0 papers with code
Low radiation tomographic reconstruction with and without template information
Our results on 3D data show that prior information can be used to compensate for the low-dose artefacts, and we demonstrate that it is possible to simultaneously prevent the prior from adversely biasing the reconstructions of new changes in the test object, via a method called ``re-irradiation''.
Tomographic reconstruction to detect evolving structures
While this is easily feasible when measurements are acquired from a large number of projection views, it is challenging when the number of views is limited.
Learning from past scans: Tomographic reconstruction to detect new structures
The need for tomographic reconstruction from sparse measurements arises when the measurement process is potentially harmful, needs to be rapid, or is uneconomical.
Tomographic Reconstruction using Global Statistical Prior
Recent research in tomographic reconstruction is motivated by the need to efficiently recover detailed anatomy from limited measurements.
