Systematic review on learning-based spectral CT
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 …
medical CT and significantly improves conventional (single-energy) CT. Spectral CT has two …
Regularization of nonlinear decomposition of spectral x‐ray projection images
Purpose Exploiting the x‐ray measurements obtained in different energy bins, spectral
computed tomography (CT) has the ability to recover the 3‐D description of a patient in a …
computed tomography (CT) has the ability to recover the 3‐D description of a patient in a …
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 in spectral CT using deep learning: a Sim2Real transfer approach
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 …
computed tomography is based on variational methods, but these are computationally slow …
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 …
Spectral angiography material decomposition using an empirical forward model and a dictionary-based regularization
K Mechlem, T Sellerer, S Ehn, D Münzel… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
By resolving the energy of the incident X-ray photons, spectral X-ray imaging with photon
counting detectors offers additional material-specific information compared to conventional …
counting detectors offers additional material-specific information compared to conventional …
[HTML][HTML] Comparison of projection-and image-based methods for proton stopping power estimation using dual energy CT
G Vilches-Freixas, VT Taasti, LP Muren… - Physics and Imaging in …, 2017 - Elsevier
Abstract Background and Purpose Several strategies for estimating stopping power ratio
(SPR) from dual-energy CT (DECT) have been proposed to improve accuracy of proton …
(SPR) from dual-energy CT (DECT) have been proposed to improve accuracy of proton …
Nonlinear material decomposition using a regularized iterative scheme based on the Bregman distance
In this paper, we address the resolution of material decomposition, which is a nonlinear
inverse problem encountered in spectral computed tomography (CT). The problem is usually …
inverse problem encountered in spectral computed tomography (CT). The problem is usually …
Consistency-based auto-calibration of the spectral model in dual-energy CT.
We propose a consistency-based material decomposition algorithm. The method is free from
any calibration procedure. The inverse spectral mixing model is approximated by a …
any calibration procedure. The inverse spectral mixing model is approximated by a …
[PDF][PDF] Material Decomposition in Spectral CT using deep learning: A Sim2Real transfer approach
S RIT, PA RODESCH, T BROUSSAUD, S BUSSOD… - hal.science
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 …
computed tomography is based on variational methods, but these are computationally slow …