Versatile regularisation toolkit for iterative image reconstruction with proximal splitting algorithms

Daniil Kazantsev, Edoardo Pasca, Mark Basham, Martin Turner, Matthias J. Ehrhardt, Kris Thielemans, Benjamin A. Thomas, Evgueni Ovtchinnikov, Philip J. Withers, Alun W. Ashton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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).

Original languageEnglish
Title of host publication15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine
EditorsSamuel Matej, Scott D. Metzler
Place of PublicationU. S. A.
PublisherSPIE
Pages1-6
Number of pages6
ISBN (Electronic)9781510628373
DOIs
Publication statusPublished - 28 May 2019
Event15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Fully3D 2019 - Philadelphia, USA United States
Duration: 2 Jun 20196 Jun 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11072
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Fully3D 2019
CountryUSA United States
CityPhiladelphia
Period2/06/196/06/19

Keywords

  • Iterative methods
  • Model-based
  • PET
  • Proximal-dual
  • Regularization
  • X-ray CT

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Kazantsev, D., Pasca, E., Basham, M., Turner, M., Ehrhardt, M. J., Thielemans, K., Thomas, B. A., Ovtchinnikov, E., Withers, P. J., & Ashton, A. W. (2019). Versatile regularisation toolkit for iterative image reconstruction with proximal splitting algorithms. In S. Matej, & S. D. Metzler (Eds.), 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (pp. 1-6). [110722D] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11072). SPIE. https://doi.org/10.1117/12.2534289