Assessment of candidate elements for development of spectral photon-counting CT specific contrast agents
J Kim, D Bar-Ness, S Si-Mohamed, P Coulon, I Blevis… - Scientific reports, 2018 - nature.com
Spectral photon-counting computed tomography (SPCCT) is a rapidly emerging imaging
modality that provides energy-dependent information on individual x-ray photons, leading to …
modality that provides energy-dependent information on individual x-ray photons, leading to …
Comparison of five one-step reconstruction algorithms for spectral CT
C Mory, B Sixou, S Si-Mohamed… - Physics in Medicine & …, 2018 - iopscience.iop.org
Over the last decade, dual-energy CT scanners have gone from prototypes to clinically
available machines, and spectral photon counting CT scanners are following. They require a …
available machines, and spectral photon counting CT scanners are following. They require a …
Material decomposition with prior knowledge aware iterative denoising (MD-PKAID)
Dual-or multi-energy CT, also known as spectral CT, obtains x-ray attenuation
measurements at two or more energy spectra, allowing quantification of materials with …
measurements at two or more energy spectra, allowing quantification of materials with …
Image decomposition algorithm for dual‐energy computed tomography via fully convolutional network
Y Xu, B Yan, J Zhang, J Chen, L Zeng… - … methods in medicine, 2018 - Wiley Online Library
Background. Dual‐energy computed tomography (DECT) has been widely used due to
improved substances identification from additional spectral information. The quality of …
improved substances identification from additional spectral information. The quality of …
Image‐domain multimaterial decomposition for dual‐energy CT based on prior information of material images
Purpose Dual‐Energy Computed Tomography (DECT) is of great interest in medical
imaging, security inspection, and nondestructive testing. Most DECT reconstruction methods …
imaging, security inspection, and nondestructive testing. Most DECT reconstruction methods …
A unified material decomposition framework for quantitative dual‐and triple‐energy CT imaging
W Zhao, D Vernekohl, F Han, B Han, H Peng… - Medical …, 2018 - Wiley Online Library
Purpose Many clinical applications depend critically on the accurate differentiation and
classification of different types of materials in patient anatomy. This work introduces a unified …
classification of different types of materials in patient anatomy. This work introduces a unified …
Single-scan dual-energy CT using primary modulation
M Petrongolo, L Zhu - IEEE transactions on medical imaging, 2018 - ieeexplore.ieee.org
Compared with conventional computed tomography (CT), dual-energy CT (DECT) provides
better material differentiation but requires projection data acquired with two different effective …
better material differentiation but requires projection data acquired with two different effective …
Accurate iterative FBP reconstruction method for material decomposition of dual energy CT
M Li, Y Zhao, P Zhang - IEEE transactions on medical imaging, 2018 - ieeexplore.ieee.org
Compared with traditional CT, dual energy CT (DECT) has the capability to improve material
differentiation and reduce beam hardening artifacts, and thus has wide prospects of …
differentiation and reduce beam hardening artifacts, and thus has wide prospects of …
Iterative reconstruction for photon-counting CT using prior image constrained total generalized variation
In this paper, we present an iterative reconstruction for photon-counting CT using prior
image constrained total generalized variation (PICTGV). This work aims to exploit structural …
image constrained total generalized variation (PICTGV). This work aims to exploit structural …
Adaptive nonlocal means method for denoising basis material images from dual-energy computed tomography
We propose an adaptive nonlocal means approach for image-domain material
decomposition in low-dose dual-energy micro–computed tomography. The key idea is to …
decomposition in low-dose dual-energy micro–computed tomography. The key idea is to …