Combined iterative reconstruction and image‐domain decomposition for dual energy CT using total‐variation regularization
Purpose: Dual‐energy CT (DECT) is being increasingly used for its capability of material
decomposition and energy‐selective imaging. A generic problem of DECT, however, is that …
decomposition and energy‐selective imaging. A generic problem of DECT, however, is that …
Constrained Minimization for Enhanced Exploitation of Gradient Sparsity: Application to CT Image Reconstruction
Exploiting sparsity in the image gradient magnitude has proved to be an effective means for
reducing the sampling rate in the projection view angle in computed tomography (CT). Most …
reducing the sampling rate in the projection view angle in computed tomography (CT). Most …
Probabilistic self‐learning framework for low‐dose CT denoising
Purpose Despite the indispensable role of x‐ray computed tomography (CT) in diagnostic
medicine, the associated harmful ionizing radiation dose is a major concern, as it may cause …
medicine, the associated harmful ionizing radiation dose is a major concern, as it may cause …
Effects of sparse sampling schemes on image quality in low‐dose CT
Purpose: Various scanning methods and image reconstruction algorithms are actively
investigated for low‐dose computed tomography (CT) that can potentially reduce a health …
investigated for low‐dose computed tomography (CT) that can potentially reduce a health …
[HTML][HTML] Low-dose computed tomography image reconstruction via a multistage convolutional neural network with autoencoder perceptual loss network
Q Li, S Li, R Li, W Wu, Y Dong, J Zhao… - … Imaging in Medicine …, 2022 - ncbi.nlm.nih.gov
Background Computed tomography (CT) is widely used in medical diagnoses due to its
ability to non-invasively detect the internal structures of the human body. However, CT scans …
ability to non-invasively detect the internal structures of the human body. However, CT scans …
On the data acquisition, image reconstruction, cone beam artifacts, and their suppression in axial MDCT and CBCT–a review
X Tang, EA Krupinski, H Xie, AE Stillman - Medical physics, 2018 - Wiley Online Library
Purpose In the clinic, computed tomography (CT) has evolved into an essential modality for
diagnostic imaging by multidetector row CT (MDCT) and image guided intervention by cone …
diagnostic imaging by multidetector row CT (MDCT) and image guided intervention by cone …
Z-index parameterization for volumetric CT image reconstruction via 3-D dictionary learning
Despite the rapid developments of X-ray cone-beam CT (CBCT), image noise still remains a
major issue for the low dose CBCT. To suppress the noise effectively while retain the …
major issue for the low dose CBCT. To suppress the noise effectively while retain the …
Accelerated fast iterative shrinkage thresholding algorithms for sparsity‐regularized cone‐beam CT image reconstruction
Q Xu, D Yang, J Tan, A Sawatzky… - Medical …, 2016 - Wiley Online Library
Purpose: The development of iterative image reconstruction algorithms for cone‐beam
computed tomography (CBCT) remains an active and important research area. Even with …
computed tomography (CBCT) remains an active and important research area. Even with …
Medical imaging synthesis using deep learning and its clinical applications: A review
This paper reviewed the deep learning-based studies for medical imaging synthesis and its
clinical application. Specifically, we summarized the recent developments of deep learning …
clinical application. Specifically, we summarized the recent developments of deep learning …
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 …