Sparse-view CBCT reconstruction via weighted Schatten p-norm minimization
A novel iterative algorithm is proposed for sparse-view cone beam computed tomography
(CBCT) reconstruction based on the weighted Schatten p-norm minimization (WSNM). By …
(CBCT) reconstruction based on the weighted Schatten p-norm minimization (WSNM). By …
Weighted adaptive non-local dictionary for low-dose CT reconstruction
H Yu, S Wang, W Wu, C Gong, L Wang, Z Pi, F Liu - Signal Processing, 2021 - Elsevier
Low-dose computed tomography (LDCT) image reconstruction has been attracting much
attention in medical applications because it can reduce the radiation risk. Sometimes …
attention in medical applications because it can reduce the radiation risk. Sometimes …
Nonconvex L1/2-regularized nonlocal self-similarity denoiser for compressive sensing based CT reconstruction
Compressive sensing (CS) based computed tomography (CT) image reconstruction aims at
reducing the radiation risk through sparse-view projection data. However, it is challenging to …
reducing the radiation risk through sparse-view projection data. However, it is challenging to …
Sparse angle CBCT reconstruction based on guided image filtering
Cone-beam Computerized Tomography (CBCT) has the advantages of high ray utilization
and detection efficiency, short scan time, high spatial and isotropic resolution. However, the …
and detection efficiency, short scan time, high spatial and isotropic resolution. However, the …
Weighted tensor low-rankness and learnable analysis sparse representation model for texture preserving low-dose CT reconstruction
In CT images, tissue structures and lesion changes illustrate evident non-local self-similarity
and regionally constant properties. The low-rank model and the learnable sparse …
and regionally constant properties. The low-rank model and the learnable sparse …
PrideDiff: Physics-Regularized Generalized Diffusion Model for CT Reconstruction
Achieving a lower radiation dose and a faster imaging speed is a pivotal objective of
computed tomography (CT) reconstruction. However, these often come at the cost of …
computed tomography (CT) reconstruction. However, these often come at the cost of …
A New Local Region-Based Active Contour Model for Image Segmentation Based on Adaptive Double Potential Well Function
X Wang, Z Liu, C Huang, Q Wang, J Wang - Image Analysis and …, 2024 - ias-iss.org
In this paper, we present a modified local region-based active contour model employing an
adaptive double potential well function for image segmentation. Initially, to circumvent the …
adaptive double potential well function for image segmentation. Initially, to circumvent the …
Guided image filtering based limited-angle CT reconstruction algorithm using wavelet frame
J Wang, C Wang, Y Guo, W Yu, L Zeng - IEEE Access, 2019 - ieeexplore.ieee.org
Computed tomography (CT) has its irreplaceable function in nondestructive testing and
medical diagnosis. In some practical CT imaging applications, the limited-angle scanning is …
medical diagnosis. In some practical CT imaging applications, the limited-angle scanning is …
NanoSIMS image enhancement by reducing random noise using low‐rank method
NanoSIMS images are usually affected by random noises because of various types of
sources, which degrade the quality of ion images and increase the uncertainty of the …
sources, which degrade the quality of ion images and increase the uncertainty of the …