Dual-Energy X-Ray Dark-Field Material Decomposition

Sellerer T, Mechlem K, Tang R, Taphorn KA, Pfeiffer F, Herzen J (2021)


Publication Type: Journal article

Publication year: 2021

Journal

Book Volume: 40

Pages Range: 974-985

Article Number: 9286734

Journal Issue: 3

DOI: 10.1109/TMI.2020.3043303

Abstract

Dual-energy imaging is a clinically well-established technique that offers several advantages over conventional X-ray imaging. By performing measurements with two distinct X-ray spectra, differences in energy-dependent attenuation are exploited to obtain material-specific information. This information is used in various imaging applications to improve clinical diagnosis. In recent years, grating-based X-ray dark-field imaging has received increasing attention in the imaging community. The X-ray dark-field signal originates from ultra small-angle scattering within an object and thus provides information about the microstructure far below the spatial resolution of the imaging system. This property has led to a number of promising future imaging applications that are currently being investigated. However, different microstructures can hardly be distinguished with current X-ray dark-field imaging techniques, since the detected dark-field signal only represents the total amount of ultra small-angle scattering. To overcome these limitations, we present a novel concept called dual-energy X-ray dark-field material decomposition, which transfers the basic material decomposition approach from attenuation-based dual-energy imaging to the dark-field imaging modality. We develop a physical model and algorithms for dual-energy dark-field material decomposition and evaluate the proposed concept in experimental measurements. Our results suggest that by sampling the energy-dependent dark-field signal with two different X-ray spectra, a decomposition into two different microstructured materials is possible. Similar to dual-energy imaging, the additional microstructure-specific information could be useful for clinical diagnosis.

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How to cite

APA:

Sellerer, T., Mechlem, K., Tang, R., Taphorn, K.A., Pfeiffer, F., & Herzen, J. (2021). Dual-Energy X-Ray Dark-Field Material Decomposition. IEEE Transactions on Medical Imaging, 40(3), 974-985. https://doi.org/10.1109/TMI.2020.3043303

MLA:

Sellerer, Thorsten, et al. "Dual-Energy X-Ray Dark-Field Material Decomposition." IEEE Transactions on Medical Imaging 40.3 (2021): 974-985.

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