A review of methods for solving the optical molecular tomography

B Wang, S Li, L Zhang, J Li, Y Zhao, J Yu… - Journal of Applied …, 2023 - pubs.aip.org
As a high-sensitivity and non-invasive technique, optical molecular tomography (OMT) can
locate and visualize tissue quantitatively in three dimensions by collecting surface photons …

Cone beam x-ray luminescence computed tomography based on Bayesian method

G Zhang, F Liu, J Liu, J Luo, Y **e… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
X-ray luminescence computed tomography (XLCT), which aims to achieve molecular and
functional imaging by X-rays, has recently been proposed as a new imaging modality …

Sparse view cone beam x-ray luminescence tomography based on truncated singular value decomposition

P Gao, J Rong, H Pu, T Liu, W Zhang, X Zhang… - Optics express, 2018 - opg.optica.org
Cone beam X-ray luminescence computed tomography (CB-XLCT) has been proposed as a
promising hybrid imaging technique. Though it has the advantage of fast imaging, the …

Multiple pinhole collimator based x-ray luminescence computed tomography

W Zhang, D Zhu, M Lun, C Li - Biomedical optics express, 2016 - opg.optica.org
X-ray luminescence computed tomography (XLCT) is an emerging hybrid imaging modality,
which is able to improve the spatial resolution of optical imaging to hundreds of micrometers …

Sensitivity study of x-ray luminescence computed tomography

MC Lun, W Zhang, C Li - Applied optics, 2017 - opg.optica.org
X-ray luminescence computed tomography (XLCT) is a hybrid molecular imaging modality
that combines the merits of both x-ray imaging (high resolution) and optical imaging (high …

Method for improving the spatial resolution of narrow x-ray beam-based x-ray luminescence computed tomography imaging

Y Zhang, MC Lun, C Li, Z Zhou - Journal of Biomedical Optics, 2019 - spiedigitallibrary.org
X-ray luminescence computed tomography (XLCT) is an emerging hybrid imaging modality
which has the potential for achieving both high sensitivity and spatial resolution …

Fast split bregman based deconvolution algorithm for airborne radar imaging

Y Zhang, Q Zhang, Y Zhang, J Pei, Y Huang, J Yang - Remote Sensing, 2020 - mdpi.com
Deconvolution methods can be used to improve the azimuth resolution in airborne radar
imaging. Due to the sparsity of targets in airborne radar imaging, an L 1 regularization …

Automated Restarting Fast Proximal Gradient Descent Method for Single-View Cone-Beam X-ray Luminescence Computed Tomography Based on Depth …

P Gao, H Pu, T Liu, Y Cao, W Li, S Huang, R Li, H Lu… - Bioengineering, 2024 - mdpi.com
Single-view cone-beam X-ray luminescence computed tomography (CB-XLCT) has recently
gained attention as a highly promising imaging technique that allows for the efficient and …

Real Aperture Radar Angular Super-Resolution Imaging Using Modified Smoothed L0 Norm with a Regularization Strategy

S Yang, Y Zhao, X Tuo, D Mao, Y Zhang, J Yang - Remote Sensing, 2023 - mdpi.com
Restricted by the ill-posed antenna measurement matrix, the conventional smoothed L 0
norm algorithm (SL0) fails to enable direct real aperture radar angular super-resolution …

SBL-LCGL: sparse Bayesian learning based on Laplace distribution for robust cone-beam x-ray luminescence computed tomography

Y Wang, H Wang, Q Zhu, Y Chen, L Su… - Physics in Medicine …, 2024 - iopscience.iop.org
Objective. To address the quality and accuracy issues in the distribution of nanophosphors
(NPs) using Cone-beam x-ray luminescence computed tomography (CB-XLCT) by …