PLEASE EDIT ON MICROSOFT TEAMS AND NOT IN HERE! Search bar, dark/light accessibility and link to source code A versatile python framework for tomographic imaging Source Code CIL is an open-source mainly Python framework for tomographic imaging for cone and parallel beam geometries. It comes with tools for loading, preprocessing, reconstructing and visualising tomographic data.

PLEASE EDIT ON MICROSOFT TEAMS AND NOT IN HERE! A versatile python framework for tomographic imaging CIL is an open-source mainly Python framework for tomographic imaging for cone and parallel beam geometries. It comes with tools for loading, preprocessing, reconstructing and visualising tomographic data. CIL is developed and maintained by a user driven community. For the CT users, CIL provides optimised standard methods such as Filtered Back Projection and FDK and an extensive modular optimisation framework for prototyping reconstruction methods. CIL also works with users with more complex CT needs including highly noisy, incomplete, non-standard or multichannel data arising for example in dynamic, spectral and in situ tomography. CIL provides optimisation methods for reconstructions including sparsity and total variation regularisation, useful when conventional filtered backprojection reconstruction do not lead to satisfactory results.