Advances in micro-CT imaging of small animals

DP Clark, CT Badea - Physica Medica, 2021 - Elsevier
Purpose Micron-scale computed tomography (micro-CT) imaging is a ubiquitous, cost-
effective, and non-invasive three-dimensional imaging modality. We review recent …

Dual-and multi-energy CT for particle stopping-power estimation: current state, challenges and potential

M Yang, P Wohlfahrt, C Shen… - Physics in Medicine & …, 2023 - iopscience.iop.org
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 …

Iterative material decomposition for spectral CT using self-supervised Noise2Noise prior

W Fang, D Wu, K Kim, MK Kalra… - Physics in medicine & …, 2021 - iopscience.iop.org
Compared to conventional computed tomography (CT), spectral CT can provide the
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 …

PIE-ARNet: Prior image enhanced artifact removal network for limited-angle DECT

Y Zhang, D Hu, T Lyu, J Zhu, G Quan… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
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 …

Systematic review on learning-based spectral CT

A Bousse, VSS Kandarpa, S Rit… - … on Radiation and …, 2023 - ieeexplore.ieee.org
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 …

Image-domain material decomposition for spectral CT using a generalized dictionary learning

W Wu, P Chen, S Wang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
The spectral computed tomography (CT) has huge advantages by providing accurate
material information. Unfortunately, due to the instability or overdetermination of the material …

Improved material decomposition with a two-step regularization for spectral CT

W Wu, P Chen, VV Vardhanabhuti, W Wu, H Yu - Ieee Access, 2019 - ieeexplore.ieee.org
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 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 …

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 …