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Model-based three-material decomposition in dual-energy CT using the volume conservation constraint

Stephen Z. Liu, Matthew Tivnan, Greg Osgood, Jeffrey H. Siewerdsen, J. Webster Stayman, Wojciech Zbijewski

2022Physics in Medicine and Biology15 citationsDOIOpen Access PDF

Abstract

Abstract Objective . We develop a model-based optimization algorithm for ‘one-step’ dual-energy (DE) CT decomposition of three materials directly from projection measurements. Approach. Since the three-material problem is inherently undetermined, we incorporate the volume conservation principle (VCP) as a pair of equality and nonnegativity constraints into the objective function of the recently reported model-based material decomposition (MBMD). An optimization algorithm (constrained MBMD, CMBMD) is derived that utilizes voxel-wise separability to partition the volume into a VCP-constrained region solved using interior-point iterations, and an unconstrained region (air surrounding the object, where VCP is violated) solved with conventional two-material MBMD. Constrained MBMD (CMBMD) is validated in simulations and experiments in application to bone composition measurements in the presence of metal hardware using DE cone-beam CT (CBCT). A kV-switching protocol with non-coinciding low- and high-energy (LE and HE) projections was assumed. CMBMD with decomposed base materials of cortical bone, fat, and metal (titanium, Ti) is compared to MBMD with (i) fat-bone and (ii) fat-Ti bases. Main results. Three-material CMBMD exhibits a substantial reduction in metal artifacts relative to the two-material MBMD implementations. The accuracies of cortical bone volume fraction estimates are markedly improved using CMBMD, with ∼5–10× lower normalized root mean squared error in simulations with anthropomorphic knee phantoms (depending on the complexity of the metal component) and ∼2–2.5× lower in an experimental test-bench study. Significance. In conclusion, we demonstrated one-step three-material decomposition of DE CT using volume conservation as an optimization constraint. The proposed method might be applicable to DE applications such as bone marrow edema imaging (fat-bone-water decomposition) or multi-contrast imaging, especially on CT/CBCT systems that do not provide coinciding LE and HE ray paths required for conventional projection-domain DE decomposition.

Topics & Concepts

DecompositionProjection (relational algebra)Constraint (computer-aided design)Volume (thermodynamics)Dual energyDual (grammatical number)Energy (signal processing)Decomposition method (queueing theory)Computer scienceMathematical optimizationAlgorithmMathematicsPhysicsMedicineChemistryStatisticsGeometryLiteratureEndocrinologyOrganic chemistryArtBone mineralOsteoporosisQuantum mechanicsAdvanced X-ray and CT ImagingMedical Imaging Techniques and ApplicationsRadiation Dose and Imaging