Model-Based Iterative Reconstruction for Propagation-Based Phase-Contrast X-Ray CT including Models for the Source and the Detector

Hehn L, Gradl R, Dierolf M, Morgan KS, Paganin DM, Pfeiffer F (2020)


Publication Type: Journal article

Publication year: 2020

Journal

Book Volume: 39

Pages Range: 1975-1987

Article Number: 8943397

Journal Issue: 6

DOI: 10.1109/TMI.2019.2962615

Abstract

Propagation-based phase-contrast X-ray computed tomography is a valuable tool for high-resolution visualization of biological samples, giving distinct improvements in terms of contrast and dose requirements compared to conventional attenuation-based computed tomography. Due to its ease of implementation and advances in laboratory X-ray sources, this imaging technique is increasingly being transferred from synchrotron facilities to laboratory environments. This however poses additional challenges, such as the limited spatial coherence and flux of laboratory sources, resulting in worse resolution and higher noise levels. Here we extend a previously developed iterative reconstruction algorithm for this imaging technique to include models for the reduced spatial coherence and the signal spreading of efficient scintillator-based detectors directly into the physical forward model. Furthermore, we employ a noise model which accounts for the full covariance statistics of the image formation process. In addition, we extend the model describing the interference effects such that it now matches the formalism of the widely-used single-material phase-retrieval algorithm, which is based on the sample-homogeneity assumption. We perform a simulation study as well as an experimental study at a laboratory inverse Compton source and compare our approach to the conventional analytical approaches. We find that the modeling of the source and the detector inside the physical forward model can tremendously improve the resolution at matched noise levels and that the modeling of the covariance statistics reduces overshoots (i.e. incorrect increase / decrease in sample properties) at the sample edges significantly.

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How to cite

APA:

Hehn, L., Gradl, R., Dierolf, M., Morgan, K.S., Paganin, D.M., & Pfeiffer, F. (2020). Model-Based Iterative Reconstruction for Propagation-Based Phase-Contrast X-Ray CT including Models for the Source and the Detector. IEEE Transactions on Medical Imaging, 39(6), 1975-1987. https://doi.org/10.1109/TMI.2019.2962615

MLA:

Hehn, Lorenz, et al. "Model-Based Iterative Reconstruction for Propagation-Based Phase-Contrast X-Ray CT including Models for the Source and the Detector." IEEE Transactions on Medical Imaging 39.6 (2020): 1975-1987.

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