Jan 9 – 11, 2017
Rigi Kulm
Europe/Zurich timezone
October 12: Adjusted duration and workshop fees

Iterative reconstruction and three-phase segmentation of low-contrast undersampled time-lapse X-ray synchrotron data

Jan 9, 2017, 3:40 PM
Rigi Kulm

Rigi Kulm


Dr Daniil Kazantsev (The University of Manchester)


Technological advances in tomographic acquisition speeds allow multiple 3D data to be acquired in a short period of time, meaning that the structural changes of an object can be interpreted as a function of time. Dynamic experiments are crucial since they can shed a light on structural changes under realistic conditions. The critical limitation of dynamic imaging is a number of projections required per scan. While reducing the angular density of projections increases scans frequency (with less incorporated motion per time-frame), reconstruction from undersampled data poses major difficulties related to mathematical ill-posedness of inversion. Iterative image reconstruction (IIR) methods are much better adapted to deal with ill-posed inversion from undersampled measurements than direct methods as they use error-correcting refinements in iterations and allow the use of a priori information. In order to demonstrate the possibilities of IIR for time-lapse data we will show a challenging case of reconstructing undersampled low-contrast dynamic data of ice-cream. The temperature of a sample changes during the experiment which leads to various structural deformations and interesting physical phenomena to occur. Although IIR reconstruction significantly improves contrast and SNR of images, segmentation of three-phase material (air, ice-crystals, ice-matrix) remains a challenge. We will present a novel post-processing approach to tackle the problem of varying intensities within one-phase region which impedes successful segmentation.

Primary author

Dr Daniil Kazantsev (The University of Manchester)


Dr Anders Kaestner (Paul Scherrer Institut, NIAG) Dr Enyu Guo (The University of Manchester) Prof. Peter Lee (The University of Manchester)

Presentation materials

There are no materials yet.