ACMIT and its scientific partners have published a new paper with the title ‘On Krylov methods for large-scale CBCT reconstruction’ in Physics in Medicine and Biology Journal. This project was a collaboration mainly with University of Cambridge, Department of Applied Mathematics and Theoretical Physics (DAMTP).
This research attempts to provide a general framework for the most relevant Krylov subspace methods applied to 3D CT problems. This is provided within an open-source framework: the Tomographic Iterative GPU-based Reconstruction (TIGRE) toolbox, with the idea of promoting accessibility and reproducibility of the results for the algorithms presented. Numerical results in synthetic and real-world 3D CT applications (medical cone beam CT (CBCT) and μ-CT datasets) are provided to showcase and compare the different Krylov subspace methods presented, as well as their suitability for different kinds of problems.
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