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 …

Elastic net-based non-negative iterative three-operator splitting strategy for Cerenkov luminescence tomography

Y Chen, W Li, M Du, L Su, H Yi, F Zhao, K Li, L Wang… - Optics …, 2022 - opg.optica.org
Cerenkov luminescence tomography (CLT) provides a powerful optical molecular imaging
technique for non-invasive detection and visualization of radiopharmaceuticals in living …

Accurate and fast reconstruction for bioluminescence tomography based on adaptive Newton hard thresholding pursuit algorithm

Y Wang, H Zhang, H Guo, B Wang, Y Liu, X He, J Yu… - JOSA A, 2022 - opg.optica.org
As a promising noninvasive medical imaging technique, bioluminescence tomography (BLT)
dynamically offers three-dimensional visualization of tumor distribution in living animals …

OPK_SNCA: Optimized prior knowledge via sparse non-convex approach for cone-beam X-ray luminescence computed tomography imaging

H Zhang, L Hai, J Kou, Y Hou, X He, M Zhou… - Computer Methods and …, 2022 - Elsevier
Abstract Background The development of Cone-beam X-ray luminescence computed
tomography (CB-XLCT) has allowed the quantitative in-depth biological imaging, but with a …

Sparse reconstruction based on dictionary learning and group structure strategy for cone-beam X-ray luminescence computed tomography

Y Chen, M Du, G Zhang, J Zhang, K Li, L Su, F Zhao… - Optics …, 2023 - opg.optica.org
As a dual-modal imaging technology that has emerged in recent years, cone-beam X-ray
luminescence computed tomography (CB-XLCT) has exhibited promise as a tool for the …

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 …

Cone-beam x-ray luminescence computed tomography (CB-XLCT) prototype development and performance evaluation

YH Wang, DSC Jin, TY Wu, C Shen… - Physics in Medicine …, 2024 - iopscience.iop.org
This study developed a prototype for a rotational cone-beam x-ray luminescence computed
tomography (CB-XLCT) system, considering its potential application in pre-clinical …

[PDF][PDF] 一种优化区域知识先验的稀疏角锥束X 射线发光断层成像方法

张海波, 寇姣姣, 黄启辰, 刘英杰, 侯榆青… - Acta Optica …, 2022 - researching.cn
摘要锥束X 射线发光断层(CB-XLCT) 成像是一种可在生物体外对早期肿瘤进行有效检测的新型
医学成像技术. 稀疏角CB-XLCT 成像加速了CB-XLCT 技术的实时成像转化进程. 然而 …

A convergent hybrid three-term conjugate gradient method with sufficient descent property for unconstrained optimization

T Diphofu, P Kaelo, AR Tufa - Topological Algebra and its …, 2022 - degruyter.com
Conjugate gradient methods are very popular for solving large scale unconstrained
optimization problems because of their simplicity to implement and low memory …

Three-term conjugate gradient method for X-ray luminescence computed tomography

Y Hou, Z Tang, H Yi, H Guo, J Yu, X He - JOSA A, 2021 - opg.optica.org
X-ray luminescence computed tomography (XLCT) has become an emerging hybrid
molecular imaging technology with high detection sensitivity and low cost. However, the …