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Spectral CT has great potential for a variety of clinical applications due tothe improved material discrimination with respect to conventional CT. Manyclinical and preclinical spectral CT systems have two spectral channels fordual-energy CT using strategies such as split-filtration, dual-layer detectors,or kVp-switching. However, there are emerging clinical imaging applicationswhich would require three or more spectral sensitivity channels, for example,multiple exogenous contrast agents in a single scan. Spatial-spectral filtersare a new spectral CT technology which use x-ray beam modulation to offergreater spectral diversity. The device consists of an array of k-edge filterswhich divide the x-ray beam into spectrally varied beamlets. This design allowsfor an arbitrary number of spectral channels; however, traditional two-stepreconstruction-decomposition schemes are typically not effective because themeasured data for any individual spectral channel is sparse in the projectiondomain. Instead, we use a one-step model-based material decomposition algorithmto iteratively estimate material density images directly from spectral CT data.In this work, we present a prototype spatial-spectral filter integrated with anx-ray CT test-bench. The filter is composed of an array of tin, erbium,tantalum, and lead filter tiles which spatially modulate the system spectralsensitivity pattern. After the system was characterized and modeled, weconducted a spectral CT scan of a multi-contrast-enhanced phantom containingwater, iodine, and gadolinium solutions. We present the resulting spectral CTdata as well as the material density images estimated by model-based materialdecomposition...

Multi-Contrast CT Imaging with a Prototype Spatial-Spectral Filter