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

doi:10.1117/12.2534289

28 May 2019 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

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Proceedings Volume 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine; 110722D (2019) https://doi.org/10.1117/12.2534289
Event: Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, Philadelphia, United States

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).

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Daniil Kazantsev, Edoardo Pasca, Mark Basham, Martin Turner, Matthias J. Ehrhardt, Kris Thielemans, Benjamin A. Thomas, Evgueni Ovtchinnikov, Philip J. Withers, and Alun W. Ashton "Versatile regularisation toolkit for iterative image reconstruction with proximal splitting algorithms", Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 110722D (28 May 2019); https://doi.org/10.1117/12.2534289

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KEYWORDS

Reconstruction algorithms

Tomography

Positron emission tomography

Image restoration

Iterative methods

Light sources

Synchrotrons

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