Spectral computed tomography (CT) has recently emerged as an advanced version of
medical CT and significantly improves conventional (single-energy) CT. Spectral CT has two …

Photon counting X-ray detectors (PCDs) with spectral capabilities have the potential to
revolutionize computed tomography (CT) for medical imaging. The ideal PCD provides …

Compared to conventional computed tomography (CT), spectral CT can provide the
capability of material decomposition, which can be used in many clinical diagnosis …

The state-of-the art for solving the nonlinear material decomposition problem in spectral
computed tomography is based on variational methods, but these are computationally slow …

Purpose The constrained one‐step spectral CT image reconstruction (cOSSCIR) algorithm
with a nonconvex alternating direction method of multipliers optimizer is proposed for …

Spectral computed tomography (CT) based on photon counting detectors can resolve the
energy of every single photon interacting with the sensor layer and be used to analyze …

Large-area photon counting detectors (PCDs) are usually built by tiling multiple
semiconductor panels that often have slightly different spectral responses to input x-rays. As …

Objective: Compared with traditional computed tomography (CT), dual spectral CT (DSCT)
exhibits superior material distinguishability and thus has broad prospects in industrial and …

Abstract Background Silicon (Si) is a possible sensor material for photon counting detectors
(PCDs). A major drawback of Si is that roughly two‐thirds of x‐ray interactions in the …

Purpose: We investigated the performance of a neural network (NN) material decomposition
method under varying pileup conditions. Approach: Experiments were performed at tube …