├── A_Review_of_Deep_Learning_CT_Reconstruction_From_Incomplete_Projection_Data.pdf └── README.md /A_Review_of_Deep_Learning_CT_Reconstruction_From_Incomplete_Projection_Data.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/zjk1988/Deep-Learning-CT-Reconstruction-from-Incomplete-Projection-Data/2bc35d50e49f5734016713cd7fa978086b6ef6c7/A_Review_of_Deep_Learning_CT_Reconstruction_From_Incomplete_Projection_Data.pdf -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Awesome CT Reconstruction from Incomplete projection data ![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg) 2 | 3 | 10 | 11 | ## Table of Contents 12 | 13 | - [Survey](#Survey) 14 | - [Limited Angle](#Limited-angle) 15 | - [Sparse View](#Sparse-view) 16 | - [Metal Artifact Reduction](#Metal-artifact-reduction) 17 | - [Dataset](#Dataset) 18 | 19 | ### Survey 20 | | Title | Code | Link | Year | 21 | | :----------------------------------------------------------- | :----------------------------------------------------------- | ------------------------------------------------------------ | ---- | 22 | | A Review of Deep Learning CT Reconstruction From Incomplete Projection Data | [![Star](https://img.shields.io/github/stars/zjk1988/Deep-Learning-CT-Reconstruction-from-Incomplete-Projection-Data.svg?style=social&label=Star)](https://github.com/zjk1988/Deep-Learning-CT-Reconstruction-from-Incomplete-Projection-Data) | [IEEE TRPMS](https://ieeexplore.ieee.org/abstract/document/10253669) | 2023 | 23 | | CT Image Denoising and Deblurring With Deep Learning: Current Status and Perspectives | None | [IEEE TRPMS](https://ieeexplore.ieee.org/abstract/document/10253669) | 2023 | 24 | 25 | ### Sparse View 26 | | Title | Code | Link | Year | 27 | | :----------------------------------------------------------- | :----------------------------------------------------------- | ------------------------------------------------------------ | ---- | 28 | | Sparse-View Spectral CT Reconstruction and Material Decomposition Based on Multi-Channel SGM | None | [IEEE TMI](https://ieeexplore.ieee.org/abstract/document/10555415) | 2024 | 29 | | Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction | None | [IEEE TMI](https://ieeexplore.ieee.org/abstract/document/10705334) | 2024 | 30 | | Stage-by-Stage Wavelet Optimization Refinement Diffusion Model for Sparse-View CT Reconstruction | None | [IEEE TMI](https://ieeexplore.ieee.org/abstract/document/10403850) | 2024 | 31 | | Multi-Channel Optimization Generative Model for Stable Ultra-Sparse-View CT Reconstruction | None | [IEEE TMI](https://ieeexplore.ieee.org/abstract/document/10466738) | 2024 | 32 | | UC-NeRF: Uncertainty-aware Conditional Neural Radiance Fields from Endoscopic Sparse Views | [![Star](https://img.shields.io/github/stars/wrld/UC-NeRF.svg?style=social&label=Star)](https://github.com/wrld/UC-NeRF) | [IEEE TMI](https://ieeexplore.ieee.org/abstract/document/10750866) | 2024 | 33 | | Wavelet-Improved Score-Based Generative Model for Medical Imaging | [Code](https://zenodo.org/record/8266123) | [IEEE TMI](https://ieeexplore.ieee.org/abstract/document/10288274) | 2024 | 34 | | DuDoCFNet: Dual-Domain Coarse-to-Fine Progressive Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECT | [![Star](https://img.shields.io/github/stars/XiongchaoChen/DuDoCFNet-MultiTask.svg?style=social&label=Star)](https://github.com/XiongchaoChen/DuDoCFNet-MultiTask) | [IEEE TMI](https://ieeexplore.ieee.org/abstract/document/10494204) | 2024 | 35 | 36 | ### Limited Angle 37 | | Title | Code | Link | Year | 38 | |:------|:-----|:-----|:-----| 39 | | Time-Reversion Fast-Sampling Score-Based Model for Limited-Angle CT Reconstruction | [![Star](https://img.shields.io/github/stars/tianzhijiaoziA/TIFADiffusion.svg?style=social&label=Star)](https://github.com/tianzhijiaoziA/TIFADiffusion) | [IEEE TMI](https://ieeexplore.ieee.org/abstract/document/10570449) | 2024 | 40 | | Wavelet-Inspired Multi-Channel Score-Based Model for Limited-Angle CT Reconstruction | None | [IEEE TMI](https://ieeexplore.ieee.org/abstract/document/10439231) | 2024 | 41 | | Dual-Domain Collaborative Diffusion Sampling for Multi-Source Stationary Computed Tomography Reconstruction | None | [IEEE TMI](https://ieeexplore.ieee.org/abstract/document/10577271) | 2024 | 42 | 43 | 44 | ### Metal Artifacts Reduction 45 | | Title | Code | Link | Year | 46 | |:------|:-----|:-----|:-----| 47 | | F2IFlow: A Fast and Flexible Diffusion Model for CT Metal Artifact Reduction | None | [IEEE TMI](https://ieeexplore.ieee.org/abstract/document/10741004) | 2024 | 48 | | Metal Artifacts Reducing Method Based on Diffusion Model Using Intraoral Optical Scanning Data for Dental Cone-beam CT | None | [IEEE TMI](https://ieeexplore.ieee.org/abstract/document/10630537) | 2024 | 49 | | DiffMAR: A Generalized Diffusion Model for Metal Artifact Reduction in CT Images | None | [IEEE JBHI](https://ieeexplore.ieee.org/abstract/document/10629037) | 2024 | 50 | | A Denoising Diffusion Probabilistic Model for Metal Artifact Reduction in CT | None | [IEEE TMI](https://ieeexplore.ieee.org/abstract/document/10586949/) | 2024 | 51 | | Adaptive and Iterative Learning With Multi-Perspective Regularizations for Metal Artifact Reduction | None | [IEEE TMI](https://ieeexplore.ieee.org/abstract/document/10510476) | 2024 | 52 | | PND-Net: Physics-Inspired Non-Local Dual-Domain Network for Metal Artifact Reduction | None | [IEEE TMI](https://ieeexplore.ieee.org/abstract/document/10404006) | 2024 | 53 | | Quad-Net: Quad-Domain Network for CT Metal Artifact Reduction | [![Star](https://img.shields.io/github/stars/longzilicart/Quad-Net.svg?style=social&label=Star)](https://github.com/longzilicart/Quad-Net) | [IEEE TMI](https://ieeexplore.ieee.org/abstract/document/10385220) | 2024 | 54 | | Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains | [![Star](https://img.shields.io/github/stars/DeepXuan/DuDoDp-MAR.svg?style=social&label=Star)](https://github.com/DeepXuan/DuDoDp-MAR) | [IEEE TMI](https://ieeexplore.ieee.org/abstract/document/10385050) | 2024 | 55 | | SemiMAR: Semi-Supervised Learning for CT Metal Artifact Reduction | [![Star](https://img.shields.io/github/stars/zjk1988/SemiMAR.svg?style=social&label=Star)](https://github.com/zjk1988/SemiMAR) | [IEEE JBHI](https://ieeexplore.ieee.org/abstract/document/10239528) | 2023 | 56 | | Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction | [![Star](https://img.shields.io/github/stars/iwuqing/Polyner.svg?style=social&label=Star)](https://github.com/iwuqing/Polyner) | [NeurIPS](https://proceedings.neurips.cc/paper_files/paper/2023/hash/dbf02b21d77409a2db30e56866a8ab3a-Abstract-Conference.html) | 2023 | 57 | 58 | 59 | 60 | 61 | ## Citation 62 | If you find this survey useful for your research, please cite our [Paper](https://ieeexplore.ieee.org/abstract/document/10253669): 63 | ``` 64 | @ARTICLE{10253669, 65 | author={Wang, Tao and Xia, Wenjun and Lu, Jingfeng and Zhang, Yi}, 66 | journal={IEEE Transactions on Radiation and Plasma Medical Sciences}, 67 | title={A Review of Deep Learning CT Reconstruction From Incomplete Projection Data}, 68 | year={2024}, 69 | volume={8}, 70 | number={2}, 71 | pages={138-152}, 72 | doi={10.1109/TRPMS.2023.3316349}} 73 | 74 | ``` 75 | 76 | 81 | 82 | 101 | 102 | --------------------------------------------------------------------------------