Regularization strategies in statistical image reconstruction of low‐dose x‐ray CT: A review
Statistical image reconstruction (SIR) methods have shown potential to substantially improve
the image quality of low‐dose x‐ray computed tomography (CT) as compared to the …
the image quality of low‐dose x‐ray computed tomography (CT) as compared to the …
Fake news mitigation via point process based intervention
We propose the first multistage intervention framework that tackles fake news in social
networks by combining reinforcement learning with a point process network activity model …
networks by combining reinforcement learning with a point process network activity model …
Hybrid photoacoustic and fast super-resolution ultrasound imaging
The combination of photoacoustic (PA) imaging and ultrasound localization microscopy
(ULM) with microbubbles has great potential in various fields such as oncology …
(ULM) with microbubbles has great potential in various fields such as oncology …
Four-dimensional cone beam ct imaging using a single routine scan via deep learning
A novel method is proposed to obtain four-dimensional (4D) cone-beam computed
tomography (CBCT) images from a routine scan in patients with upper abdominal cancer …
tomography (CBCT) images from a routine scan in patients with upper abdominal cancer …
Joint image reconstruction method with correlative multi-channel prior for x-ray spectral computed tomography
Rapid developments in photon-counting and energy-discriminating detectors have the
potential to provide an additional spectral dimension to conventional x-ray grayscale …
potential to provide an additional spectral dimension to conventional x-ray grayscale …
RISING: A new framework for model-based few-view CT image reconstruction with deep learning
Medical image reconstruction from low-dose tomographic data is an active research field,
recently revolutionized by the advent of deep learning. In fact, deep learning typically yields …
recently revolutionized by the advent of deep learning. In fact, deep learning typically yields …
Superiorization vs. accelerated convex optimization: The superiorized/regularized least-squares case
We conduct a study and comparison of superiorization and optimization approaches for the
reconstruction problem of superiorized/regularized least-squares solutions of …
reconstruction problem of superiorized/regularized least-squares solutions of …
A fast regularized iterative algorithm for fan-beam CT reconstruction
T Wang, H Kudo, F Yamazaki… - Physics in Medicine & …, 2019 - iopscience.iop.org
We propose a fast iterative image reconstruction algorithm for normal, short-scan, and super-
short-scan fan-beam computed tomography (CT), which aims at iterative reconstruction for …
short-scan fan-beam computed tomography (CT), which aims at iterative reconstruction for …
[图书][B] Visual quality assessment for natural and medical image
Y Ding - 2018 - Springer
With the rapid development of digital image and video acquisition, transmission, and display
techniques in the last few decades, the demands of high-quality images and videos are …
techniques in the last few decades, the demands of high-quality images and videos are …
Model-based iterative reconstruction using higher-order regularization of dynamic synchrotron data
We present a novel iterative reconstruction method applied to in situ x-ray synchrotron
tomographic data of dendrite formation during the solidification of magnesium alloy …
tomographic data of dendrite formation during the solidification of magnesium alloy …