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Model-based iterative reconstruction using higher-order regularization of dynamic synchrotron data
Authors:
Daniil
Kazantsev
(University of Manchester; The Manchester X-Ray Imaging Facility, Research Complex at Harwell)
,
Enyu
Guo
(University of Manchester; The Manchester X-Ray Imaging Facility, Research Complex at Harwell)
,
André
Phillion
(McMaster University)
,
Philip J.
Withers
(University of Manchester; The Manchester X-Ray Imaging Facility, Research Complex at Harwell)
,
Peter
Lee
(University of Manchester; The Manchester X-Ray Imaging Facility, Research Complex at Harwell)
Co-authored by industrial partner:
No
Type:
Journal Paper
Journal:
Measurement Science And Technology
State:
Published (Approved)
Published:
July 2017
Diamond Proposal Number(s):
13302
Abstract: We present a novel iterative reconstruction method applied to in situ X-ray synchrotron tomographic data of dendrite formation during the solidification of magnesium alloy. Frequently, fast dynamic imaging projection data are undersampled, noisy, of poor contrast, and can contain various acquisition artifacts. Direct reconstruction methods are not suitable and iterative reconstruction techniques must be adapted to the existing data features. Normally, an accurate modelling of the objective function can guarantee a better reconstruction. In this work, we design a special cost function where the data fidelity term is based on the Group-Huber functional to minimize ring artifacts and the regularization term is a higher-order variational penalty. We show that the total variation penalty is unsuitable for some cases and higher-order regularization functionals can ensure a better fit to the expected properties of the data. Additionally, we highlight the importance of 3D regularization over 2D for the problematic data. The proposed method shows a promising performance dealing with angular undersampled noisy dynamic data with ring artifacts.
Diamond Keywords: Alloys
Subject Areas:
Technique Development,
Materials
Instruments:
I13-2-Diamond Manchester Imaging
Added On:
01/08/2017 12:12
Discipline Tags:
Technique Development - Materials Science
Materials Science
Metallurgy
Technical Tags:
Imaging
Tomography