A review of deep learning ct reconstruction from incomplete projection data
Computed tomography (CT) is a widely used imaging technique in both medical and
industrial applications. However, accurate CT reconstruction requires complete projection …
industrial applications. However, accurate CT reconstruction requires complete projection …
Wavelet-improved score-based generative model for medical imaging
The score-based generative model (SGM) has demonstrated remarkable performance in
addressing challenging under-determined inverse problems in medical imaging. However …
addressing challenging under-determined inverse problems in medical imaging. However …
Two-and-a-half order score-based model for solving 3D ill-posed inverse problems
Abstract Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are crucial
technologies in the field of medical imaging. Score-based models demonstrated …
technologies in the field of medical imaging. Score-based models demonstrated …
Stage-by-stage wavelet optimization refinement diffusion model for sparse-view CT reconstruction
K Xu, S Lu, B Huang, W Wu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Diffusion model has emerged as a potential tool to tackle the challenge of sparse-view CT
reconstruction, displaying superior performance compared to conventional methods …
reconstruction, displaying superior performance compared to conventional methods …
Data-iterative optimization score model for stable ultra-sparse-view CT reconstruction
Score-based generative models (SGMs) have gained prominence in sparse-view CT
reconstruction for their precise sampling of complex distributions. In SGM-based …
reconstruction for their precise sampling of complex distributions. In SGM-based …
Deep learning-based algorithms for low-dose CT imaging: A review
H Chen, Q Li, L Zhou, F Li - European Journal of Radiology, 2024 - Elsevier
The computed tomography (CT) technique is extensively employed as an imaging modality
in clinical settings. The radiation dose of CT, however, is significantly high, thereby raising …
in clinical settings. The radiation dose of CT, however, is significantly high, thereby raising …
GaSpCT: Gaussian Splatting for Novel CT Projection View Synthesis
E Nikolakakis, U Gupta, J Vengosh, J Bui… - arXiv preprint arXiv …, 2024 - arxiv.org
We present GaSpCT, a novel view synthesis and 3D scene representation method used to
generate novel projection views for Computer Tomography (CT) scans. We adapt the …
generate novel projection views for Computer Tomography (CT) scans. We adapt the …
HEAL: High-Frequency Enhanced and Attention-Guided Learning Network for Sparse-View CT Reconstruction
X-ray computed tomography (CT) imaging technology has become an indispensable
diagnostic tool in clinical examination. However, it poses a risk of ionizing radiation, making …
diagnostic tool in clinical examination. However, it poses a risk of ionizing radiation, making …
Circular LSTM for Low-Dose Sinograms Inpainting
Computed tomography (CT) is usually accompanied by a long scanning time and
substantial patient radiation exposure. Sinograms are the basis for constructing CT scans; …
substantial patient radiation exposure. Sinograms are the basis for constructing CT scans; …
CoCPF: Coordinate-based Continuous Projection Field for Ill-Posed Inverse Problem in Imaging
Sparse-view computed tomography (SVCT) reconstruction aims to acquire CT images
based on sparsely-sampled measurements. It allows the subjects exposed to less ionizing …
based on sparsely-sampled measurements. It allows the subjects exposed to less ionizing …