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 …

Artificial intelligence (AI) is transforming the way we perform advanced imaging. From high-
resolution image reconstruction to predicting functional response from clinically acquired …

Synthetic data are becoming a critical tool for building artificially intelligent systems.
Simulators provide a way of generating data systematically and at scale. These data can …

On robotics computer vision tasks, generating and annotating large amounts of data from
real-world for the use of deep learning-based approaches is often difficult or even …

Objective. In this work, a dedicated end-to-end deep convolutional neural network, named
as Triple-CBCT, is proposed to demonstrate the feasibility of reconstructing three different …

Background Dual‐energy CT with virtual noncalcium (VNCa) images allows the evaluation
of focal intramedullary bone marrow involvement in patients with multiple myeloma …

Objective. Photon-counting CT (PCCT) has better dose efficiency and spectral resolution
than energy-integrating CT, which is advantageous for material decomposition …

Objective. Material decomposition (MD) evaluates the elemental composition of human
tissues and organs via computed tomography (CT) and is indispensable in correlating …

Photon counting spectral computed tomography (PCCT) can produce reconstructed
attenuation maps in different energy channels, reflecting the energy properties of the …

Computed tomography (CT) is a widely utilised imaging technique in both clinical and
industrial applications. CT scan results, presented as a volume revealing linear attenuation …