Cover Image

Deep Learning CT Image Restoration using System Blur and Noise Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yuan, Yijie, Gang, Grace J., Stayman, J. Webster
Format:	Preprint
Published:	2024
Subjects:	Medical Physics Computer Vision and Pattern Recognition Image and Video Processing Computational Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Strategies for CT Reconstruction using Diffusion Posterior Sampling with a Nonlinear Model
by: Jiang, Xiao, et al.
Published: (2024)

CT Material Decomposition using Spectral Diffusion Posterior Sampling
by: Jiang, Xiao, et al.
Published: (2024)

CT Reconstruction using Diffusion Posterior Sampling conditioned on a Nonlinear Measurement Model
by: Li, Shudong, et al.
Published: (2023)

Volumetric Material Decomposition Using Spectral Diffusion Posterior Sampling with a Compressed Polychromatic Forward Model
by: Jiang, Xiao, et al.
Published: (2025)

CTorch: PyTorch-Compatible GPU-Accelerated Auto-Differentiable Projector Toolbox for Computed Tomography
by: Jiang, Xiao, et al.
Published: (2025)

Generation of Chest CT pulmonary Nodule Images by Latent Diffusion Models using the LIDC-IDRI Dataset
by: Urata, Kaito, et al.
Published: (2026)

Multibranch Generative Models for Multichannel Imaging with an Application to PET/CT Synergistic Reconstruction
by: Pinton, Noel Jeffrey, et al.
Published: (2024)

Physics-informed DeepCT: Sinogram Wavelet Decomposition Meets Masked Diffusion
by: Zhou, Zekun, et al.
Published: (2025)

Perfusion Imaging and Single Material Reconstruction in Polychromatic Photon Counting CT
by: Kim, Namhoon, et al.
Published: (2026)

Towards AI Lesion Tracking in PET/CT Imaging: A Siamese-based CNN Pipeline applied on PSMA PET/CT Scans
by: Hein, Stefan P., et al.
Published: (2024)

From Diagnostic CT to DTI Tractography labels: Using Deep Learning for Corticospinal Tract Injury Assessment and Outcome Prediction in Intracerebral Haemorrhage
by: Murray, Olivia N, et al.
Published: (2024)

Robust Real-time Segmentation of Bio-Morphological Features in Human Cherenkov Imaging during Radiotherapy via Deep Learning
by: Wang, Shiru, et al.
Published: (2024)

Head and Neck Tumor Segmentation from [18F]F-FDG PET/CT Images Based on 3D Diffusion Model
by: Dong, Yafei, et al.
Published: (2024)

Generating Synthetic Contrast-Enhanced Chest CT Images from Non-Contrast Scans Using Slice-Consistent Brownian Bridge Diffusion Network
by: Shiri, Pouya, et al.
Published: (2025)

LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring
by: Chen, Zhihao, et al.
Published: (2023)

A Classification-Based Adaptive Segmentation Pipeline: Feasibility Study Using Polycystic Liver Disease and Metastases from Colorectal Cancer CT Images
by: Wang, Peilong, et al.
Published: (2024)

Diffusion Model-based FOD Restoration from High Distortion in dMRI
by: Huang, Shuo, et al.
Published: (2024)

PET Image Reconstruction Using Deep Diffusion Image Prior
by: Hashimoto, Fumio, et al.
Published: (2025)

Assessing the performance of CT image denoisers using Laguerre-Gauss Channelized Hotelling Observer for lesion detection
by: Kc, Prabhat, et al.
Published: (2024)

Differentiable Forward and Back-Projector for Rigid Motion Estimation in X-ray Imaging
by: Jiang, Xiao, et al.
Published: (2025)

Robustness Testing of Black-Box Models Against CT Degradation Through Test-Time Augmentation
by: Highton, Jack, et al.
Published: (2024)

Reconstructing Quantitative Cerebral Perfusion Images Directly From Measured Sinogram Data Acquired Using C-arm Cone-Beam CT
by: Zhao, Haotian, et al.
Published: (2024)

Visualization of Organ Movements Using Automatic Region Segmentation of Swallowing CT
by: Michiwaki, Yukihiro, et al.
Published: (2025)

Automatic Tissue Differentiation in Parotidectomy using Hyperspectral Imaging
by: Wisotzky, Eric L., et al.
Published: (2024)

FD-DiT: Frequency Domain-Directed Diffusion Transformer for Low-Dose CT Reconstruction
by: Liu, Qiqing, et al.
Published: (2025)

Beyond Benchmarks: A Framework for Post Deployment Validation of CT Lung Nodule Detection AI
by: Soliman, Daniel
Published: (2026)

A Green Solution for Breast Region Segmentation Using Deep Active Learning
by: Narimani, Sam, et al.
Published: (2026)

Enhancing signal detectability in learning-based CT reconstruction with a model observer inspired loss function
by: Lantz, Megan, et al.
Published: (2024)

Automated HER2 Scoring in Breast Cancer Images Using Deep Learning and Pyramid Sampling
by: Selcuk, Sahan Yoruc, et al.
Published: (2024)

Visual question answering-based image-finding generation for pulmonary nodules on chest CT from structured annotations
by: Nagao, Maiko, et al.
Published: (2026)

On Real-time Image Reconstruction with Neural Networks for MRI-guided Radiotherapy
by: Waddington, David E. J., et al.
Published: (2022)

Physics-Inspired Generative Models in Medical Imaging: A Review
by: Hein, Dennis, et al.
Published: (2024)

High-Resolution Magnetic Particle Imaging System Matrix Recovery Using a Vision Transformer with Residual Feature Network
by: Khair, Abuobaida M., et al.
Published: (2025)

Evaluating structural uncertainty in accelerated MRI: are voxelwise measures useful surrogates?
by: Trautmann, Luca L. C., et al.
Published: (2025)

Patlak Parametric Image Estimation from Dynamic PET Using Diffusion Model Prior
by: Huang, Ziqian, et al.
Published: (2025)

Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image Segmentation
by: Loos, Vincent, et al.
Published: (2024)

$k$-$t$ CLAIR: Self-Consistency Guided Multi-Prior Learning for Dynamic Parallel MR Image Reconstruction
by: Zhang, Liping, et al.
Published: (2023)

Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains
by: Lin, Rizhong, et al.
Published: (2023)

Adaptive Whole-Body PET Image Denoising Using 3D Diffusion Models with ControlNet
by: Yu, Boxiao, et al.
Published: (2024)

A No-Reference Medical Image Quality Assessment Method Based on Automated Distortion Recognition Technology: Application to Preprocessing in MRI-guided Radiotherapy
by: Wang, Zilin, et al.
Published: (2024)