Dual-and multi-energy CT for particle stopping-power estimation: current state, challenges and potential
Range uncertainty has been a key factor preventing particle radiotherapy from reaching its
full physical potential. One of the main contributing sources is the uncertainty in estimating …
full physical potential. One of the main contributing sources is the uncertainty in estimating …
Iterative material decomposition for spectral CT using self-supervised Noise2Noise prior
Compared to conventional computed tomography (CT), spectral CT can provide the
capability of material decomposition, which can be used in many clinical diagnosis …
capability of material decomposition, which can be used in many clinical diagnosis …
A material decomposition method for dual‐energy CT via dual interactive Wasserstein generative adversarial networks
Z Shi, H Li, Q Cao, Z Wang, M Cheng - Medical physics, 2021 - Wiley Online Library
Purpose Dual‐energy computed tomography (DECT) is highly promising for material
characterization and identification, whereas reconstructed material‐specific images are …
characterization and identification, whereas reconstructed material‐specific images are …
PIE-ARNet: Prior image enhanced artifact removal network for limited-angle DECT
Dual-energy computed tomography (DECT) is of great clinical significance because it can
simultaneously visualize the internal structure of the scanned object and provide material …
simultaneously visualize the internal structure of the scanned object and provide material …
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 …
Image-domain material decomposition for spectral CT using a generalized dictionary learning
The spectral computed tomography (CT) has huge advantages by providing accurate
material information. Unfortunately, due to the instability or overdetermination of the material …
material information. Unfortunately, due to the instability or overdetermination of the material …
Improved material decomposition with a two-step regularization for spectral CT
One of the advantages of spectral computed tomography (CT) is it can achieve accurate
material components using the material decomposition methods. The image-based material …
material components using the material decomposition methods. The image-based material …
Material decomposition of spectral CT images via attention-based global convolutional generative adversarial network
X Guo, P He, X Lv, X Ren, Y Li, Y Liu, X Lei… - Nuclear Science and …, 2023 - Springer
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 …
energy of every single photon interacting with the sensor layer and be used to analyze …
PMS-GAN: Parallel multi-stream generative adversarial network for multi-material decomposition in spectral computed tomography
M Geng, Z Tian, Z Jiang, Y You, X Feng… - … on Medical Imaging, 2020 - ieeexplore.ieee.org
Spectral computed tomography is able to provide quantitative information on the scanned
object and enables material decomposition. Traditional projection-based material …
object and enables material decomposition. Traditional projection-based material …