search

LLNL / LEAP

comprehensive library of 3D transmission Computed Tomography (CT) algorithms with Python and C++ APIs, a PyQt GUI, and fully integrated with PyTorch
https://leapct.readthedocs.io
MIT License
120 stars 12 forks source link

question about RDLS #112

Closed stefenmax closed 1 month ago

stefenmax commented 1 month ago

Hi. I came across the Regularized Derivative Least Squares (RDLS) reconstruction algorithm described in the documentation, but I couldn’t find the reference or original literature for this method. Could you please provide the relevant citation or point me to the original paper or source that details this algorithm? Especially for the derivative part.

Thank you for your help!

kylechampley commented 1 month ago

Ya, RDLS is something that is a part of my unpublished work. I am working on a publication, but I'm not sure it'll ever get done. I'm just too busy. Anyway, here is a screenshot from a part of that unpublished paper. Let me know if you need more detail. image

stefenmax commented 1 month ago

Thanks for sharing! Recently, I discovered that RDLS performs better than ASD-POCS in my project, which integrates a diffusion model to address limited-angle CT reconstruction. I’m planning to write more about the technical details of how RDLS works, but since it's unpublished, I’m unsure how to proceed with handling that. lol

kylechampley commented 1 month ago

I went ahead and published the full paper on arXiv. It has a more thorough description of RDLS and other novel feature in LEAP, so you may want to give it a read. If you use RDLS, please cite the LEAP paper and this new preprint. Thanks.

stefenmax commented 1 month ago

Thanks for your effort. Really appreciate it!! Definately will cite your papers.