Feasibility study of three-material decomposition in dual-energy cone-beam CT imaging with deep learning
J Zhu, T Su, X Zhang, J Yang, D Mi… - Physics in Medicine …, 2022 - iopscience.iop.org
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 …
as Triple-CBCT, is proposed to demonstrate the feasibility of reconstructing three different …
Spectral CT image-domain material decomposition via sparsity residual prior and dictionary learning
T Zhang, H Yu, Y Xi, S Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The spectral computed tomography (CT) system based on a photon-counting detector (PCD)
can quantitatively analyze the material composition of the inspected object by material …
can quantitatively analyze the material composition of the inspected object by material …
Advancing Low-Rank and Local Low-Rank Matrix Approximation in Medical Imaging: A Systematic Literature Review and Future Directions
The large volume and complexity of medical imaging datasets are bottlenecks for storage,
transmission, and processing. To tackle these challenges, the application of low-rank matrix …
transmission, and processing. To tackle these challenges, the application of low-rank matrix …
Multi-step material decomposition for spectral computed tomography
Spectral images from photon counting detectors are being explored for material
decomposition applications such as for obtaining quantitative maps of tissue types and …
decomposition applications such as for obtaining quantitative maps of tissue types and …
Image formation in spectral computed tomography
Spectral Computed Tomography (CT) aims at measuring the energy-resolved three-
dimensional (3D) distribution of the x-ray attenuation coefficients of a scanned object. It is …
dimensional (3D) distribution of the x-ray attenuation coefficients of a scanned object. It is …
Fast and effective single‐scan dual‐energy cone‐beam CT reconstruction and decomposition denoising based on dual‐energy vectorization
Purpose Flat‐panel detector (FPD) based dual‐energy cone‐beam computed tomography
(DE‐CBCT) is a promising imaging technique for dedicated clinical applications. In this …
(DE‐CBCT) is a promising imaging technique for dedicated clinical applications. In this …
Model-based three-material decomposition in dual-energy CT using the volume conservation constraint
Objective. We develop a model-based optimization algorithm for'one-step'dual-energy (DE)
CT decomposition of three materials directly from projection measurements. Approach …
CT decomposition of three materials directly from projection measurements. Approach …
Multi-material decomposition for single energy CT using material sparsity constraint
Multi-material decomposition (MMD) decomposes CT images into basis material images,
and is a promising technique in clinical diagnostic CT to identify material compositions …
and is a promising technique in clinical diagnostic CT to identify material compositions …
Noise suppression in image-domain multi-material decomposition for dual-energy CT
Objective: Dual-energy CT (DECT) strengthens the material characterization and
quantification due to its capability of material discrimination. The image-domain multi …
quantification due to its capability of material discrimination. The image-domain multi …
IMD-MTFC: Image-domain material decomposition via material-image tensor factorization and clustering for spectral CT
Spectral computed tomography (CT) provides multispectral X-ray information that can be
used for quantitative material-specific imaging compared to the conventional CT. However …
used for quantitative material-specific imaging compared to the conventional CT. However …