Impact of the Non-Negativity Constraint in Model-Based Iterative Reconstruction from CT Data

Haase V, Hahn K, Schöndube H, Stierstorfer K, Noo F (2018)


Publication Language: English

Publication Type: Conference contribution, Abstract of a poster

Publication year: 2018

Pages Range: 339-343

Conference Proceedings Title: Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT Meeting)

Event location: Salt Lake City, UT US

URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Haase18-IOT.pdf

DOI: 10.1002/mp.13702

Abstract

Model-based iterative reconstruction is a promising approach to achieve dose reduction without affecting image quality in diagnostic X-ray computed tomography. In the problem formulation, it is common to enforce non-negative values, which is motivated by physics but narrows down the choice of optimization algorithm. In this work, we report on experiments assessing the impact of the non-negativity constraint on image quality and reconstruction speed. The assessment is performed under eight scenarios that challenge the usefulness of the constraint. These include reconstructions from full and sparse view sampling, with quadratic or edge-preserving regularization, for two different objects. Our results show that improvements due to the nonnegativity constraint are strongly scenario-dependent, and likely negligible for conventional full view CT imaging. This implies that for specific reconstructions, the non-negativity constraint could be disregarded to simplify the optimization problem.

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How to cite

APA:

Haase, V., Hahn, K., Schöndube, H., Stierstorfer, K., & Noo, F. (2018, May). Impact of the Non-Negativity Constraint in Model-Based Iterative Reconstruction from CT Data. Poster presentation at Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT Meeting), Salt Lake City, UT, US.

MLA:

Haase, Viktor, et al. "Impact of the Non-Negativity Constraint in Model-Based Iterative Reconstruction from CT Data." Presented at Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT Meeting), Salt Lake City, UT 2018.

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