@inproceedings{fe213ff290db43e092e132227c17b7a4,
title = "Versatile regularisation toolkit for iterative image reconstruction with proximal splitting algorithms",
abstract = "Ill-posed image recovery requires regularisation to ensure stability. The presented open-source regularisation toolkit consists of state-of-the-art variational algorithms which can be embedded in a plug-and-play fashion into the general framework of proximal splitting methods. The packaged regularisers aim to satisfy various prior expectations of the investigated objects, e.g., their structural characteristics, smooth or non-smooth surface morphology. The flexibility of the toolkit helps with the design of more advanced model-based iterative reconstruction methods for different imaging modalities while operating with simpler building blocks. The toolkit is written for CPU and GPU architectures and wrapped for Python/MATLAB. We demonstrate the functionality of the toolkit in application to Positron Emission Tomography (PET) and X-ray synchrotron computed tomography (CT).",
keywords = "Iterative methods, Model-based, PET, Proximal-dual, Regularization, X-ray CT",
author = "Daniil Kazantsev and Edoardo Pasca and Mark Basham and Martin Turner and Ehrhardt, {Matthias J.} and Kris Thielemans and Thomas, {Benjamin A.} and Evgueni Ovtchinnikov and Withers, {Philip J.} and Ashton, {Alun W.}",
year = "2019",
month = may,
day = "28",
doi = "10.1117/12.2534289",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
pages = "1--6",
editor = "Samuel Matej and Metzler, {Scott D.}",
booktitle = "15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine",
address = "USA United States",
note = "15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Fully3D 2019 ; Conference date: 02-06-2019 Through 06-06-2019",
}