Litcius/Paper detail

Dual-Energy X-Ray Dark-Field Material Decomposition

Thorsten Sellerer, Korbinian Mechlem, Ruizhi Tang, Kirsten Alexandra Taphorn, Franz Pfeiffer, Julia Herzen

2020IEEE Transactions on Medical Imaging17 citationsDOIOpen Access PDF

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.

Topics & Concepts

DecompositionSIGNAL (programming language)AttenuationMedical imagingImage resolutionIterative reconstructionComputer scienceProperty (philosophy)Materials scienceSampling (signal processing)Functional imagingResolution (logic)Signal processingImaging technologyImaging techniqueImaging scienceTomographyArtificial intelligenceSignal reconstructionImage processingCompressed sensingPrior informationImage formationMatrix decompositionPreclinical imagingMicrostructureUltrasonic imagingComputer visionScatteringAdvanced X-ray Imaging TechniquesRadiation Shielding Materials AnalysisAdvanced X-ray and CT Imaging