Pixel-weighted Multi-pose Fusion for Metal Artifact Reduction in X-ray Computed Tomography

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Diyu, Kemp, Craig A. J., Majee, Soumendu, Buzzard, Gregery T., Bouman, Charles A.
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Resolution Data Fusion for Super Resolution Imaging
by: Reid, Emma J, et al.
Published: (2021)

Fast Hyperspectral Neutron Tomography
by: Chowdhury, Mohammad Samin Nur, et al.
Published: (2024)

Autonomous Polycrystalline Material Decomposition for Hyperspectral Neutron Tomography
by: Chowdhury, Mohammad Samin Nur, et al.
Published: (2023)

Fast Hyperspectral Reconstruction for Neutron Computed Tomography Using Subspace Extraction
by: Chowdhury, Mohammad Samin Nur, et al.
Published: (2024)

Ptychography using Blind Multi-Mode PMACE
by: Zhai, Qiuchen, et al.
Published: (2025)

ResSR: A Computationally Efficient Residual Approach to Super-Resolving Multispectral Images
by: Duba-Sullivan, Haley, et al.
Published: (2024)

CLAMP: Majorized Plug-and-Play for Coherent 3D LIDAR Imaging
by: Allen, Tony G., et al.
Published: (2024)

MACE CT Reconstruction for Modular Material Decomposition from Energy Resolving Photon-Counting Data
by: Jadue, Natalie M., et al.
Published: (2024)

Edge Projection-Based Adaptive View Selection for Cone-Beam CT
by: Lin, Jingsong, et al.
Published: (2024)

MONSTR: Model-Oriented Neutron Strain Tomographic Reconstruction
by: Chowdhury, Mohammad Samin Nur, et al.
Published: (2025)

MGMAR: Metal-Guided Metal Artifact Reduction for X-ray Computed Tomography
by: Park, Hyoung Suk, et al.
Published: (2026)

Development of Focused X-ray Luminescence Compute Tomography Imaging
by: Fang, Yile, et al.
Published: (2024)

Total Variation Regularization for Tomographic Reconstruction of Cylindrically Symmetric Objects
by: Hossain, Maliha, et al.
Published: (2024)

Multi-stage Deep Learning Artifact Reduction for Pallel-beam Computed Tomography
by: Shi, Jiayang, et al.
Published: (2023)

2.5D Super-Resolution Approaches for X-ray Computed Tomography-based Inspection of Additively Manufactured Parts
by: Duba-Sullivan, Haley, et al.
Published: (2024)

Imaging on the Edge: Mapping Object Corners and Edges with Stereo X-ray Tomography
by: Shang, Zhenduo, et al.
Published: (2025)

Plug-and-Play with 2.5D Artifact Reduction Prior for Fast and Accurate Industrial Computed Tomography Reconstruction
by: Duba-Sullivan, Haley, et al.
Published: (2025)

From Pixel to Cancer: Cellular Automata in Computed Tomography
by: Lai, Yuxiang, et al.
Published: (2024)

DRIFT: Deep Restoration, ISP Fusion, and Tone-mapping
by: Majee, Soumendu, et al.
Published: (2026)

Investigating the Use of Traveltime and Reflection Tomography for Deep Learning-Based Sound-Speed Estimation in Ultrasound Computed Tomography
by: Jeong, Gangwon, et al.
Published: (2023)

Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?
by: Lin, Tianyu, et al.
Published: (2025)

Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction
by: Wang, Hong, et al.
Published: (2022)

Learned Correction Methods for Ultrasound Computed Tomography Imaging Using Simplified Physics Models
by: Lozenski, Luke, et al.
Published: (2025)

X-GRM: Large Gaussian Reconstruction Model for Sparse-view X-rays to Computed Tomography
by: Liu, Yifan, et al.
Published: (2025)

Implicit Neural Representation for Sparse-view Photoacoustic Computed Tomography
by: Yao, Bowei, et al.
Published: (2024)

Quad-Net: Quad-domain Network for CT Metal Artifact Reduction
by: Li, Zilong, et al.
Published: (2022)

MARformer: An Efficient Metal Artifact Reduction Transformer for Dental CBCT Images
by: Shi, Yuxuan, et al.
Published: (2023)

Radiologist-in-the-Loop Self-Training for Generalizable CT Metal Artifact Reduction
by: Ma, Chenglong, et al.
Published: (2025)

Integrating Deep Unfolding with Direct Diffusion Bridges for Computed Tomography Reconstruction
by: Verinaz-Jadan, Herman, et al.
Published: (2024)

NERD: Network-Regularized Diffusion Sampling For 3D Computed Tomography
by: Liang, Shijun, et al.
Published: (2025)

LaminoDiff: Artifact-Free Computed Laminography in Non-Destructive Testing via Diffusion Model
by: Liu, Tan, et al.
Published: (2026)

Unlocking the Potential of Early Epochs: Uncertainty-aware CT Metal Artifact Reduction
by: Yang, Xinquan, et al.
Published: (2024)

FIND-Net -- Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction
by: Tasharofi, Farid, et al.
Published: (2025)

Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains
by: Liu, Xuan, et al.
Published: (2023)

Early detection of hip periprosthetic joint infections through CNN on Computed Tomography images
by: Guarnera, Francesco, et al.
Published: (2023)

Learning Robust Features for Scatter Removal and Reconstruction in Dynamic ICF X-Ray Tomography
by: Gautam, Siddhant, et al.
Published: (2024)

X-LRM: X-ray Large Reconstruction Model for Extremely Sparse-View Computed Tomography Recovery in One Second
by: Zhang, Guofeng, et al.
Published: (2025)

Multi-Domain FeFET-Based Pixel for In-Sensor Multiply-and-Accumulate Operations
by: Udoy, Md Rahatul Islam, et al.
Published: (2025)

AS-Mamba: Asymmetric Self-Guided Mamba Decoupled Iterative Network for Metal Artifact Reduction
by: Ning, Bowen, et al.
Published: (2026)

Leveraging Image Editing Foundation Models for Data-Efficient CT Metal Artifact Reduction
by: Emirdagi, Ahmet Rasim, et al.
Published: (2026)