Metal Artifact Reduction

12 papers with code • 0 benchmarks • 0 datasets

Metal artifact reduction aims to remove the artifacts introduced by metallic implants in CT images.

Latest papers with no code

MARformer: An Efficient Metal Artifact Reduction Transformer for Dental CBCT Images

no code yet • 16 Nov 2023

Cone Beam Computed Tomography (CBCT) plays a key role in dental diagnosis and surgery.

Neural Representation-Based Method for Metal-induced Artifact Reduction in Dental CBCT Imaging

no code yet • 27 Jul 2023

This study introduces a novel reconstruction method for dental cone-beam computed tomography (CBCT), focusing on effectively reducing metal-induced artifacts commonly encountered in the presence of prevalent metallic implants.

Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction

no code yet • 24 Jul 2023

However, it is difficult for previous unsupervised methods to retain structural information from CT images while handling the non-local characteristics of metal artifacts.

RetinexFlow for CT metal artifact reduction

no code yet • 18 Jun 2023

Metal artifacts is a major challenge in computed tomography (CT) imaging, significantly degrading image quality and making accurate diagnosis difficult.

Metal-conscious Embedding for CBCT Projection Inpainting

no code yet • 29 Nov 2022

The existence of metallic implants in projection images for cone-beam computed tomography (CBCT) introduces undesired artifacts which degrade the quality of reconstructed images.

TriDoNet: A Triple Domain Model-driven Network for CT Metal Artifact Reduction

no code yet • 14 Nov 2022

Recent deep learning-based methods have achieved promising performance for computed tomography metal artifact reduction (CTMAR).

Metal Inpainting in CBCT Projections Using Score-based Generative Model

no code yet • 20 Sep 2022

During orthopaedic surgery, the inserting of metallic implants or screws are often performed under mobile C-arm systems.

Deep learning based projection domain metal segmentation for metal artifact reduction in cone beam computed tomography

no code yet • 17 Aug 2022

We compare our model's performance on real clinical scans with conventional region growing threshold-based MAR, moving metal artifact reduction method, and a recent deep learning method.

Metal Artifact Reduction with Intra-Oral Scan Data for 3D Low Dose Maxillofacial CBCT Modeling

no code yet • 8 Feb 2022

To improve the learning ability, the proposed network is designed to take advantage of the intra-oral scan data as side-inputs and perform multi-task learning of auxiliary tooth segmentation.

A Metal Artifact Reduction Scheme For Accurate Iterative Dual-Energy CT Algorithms

no code yet • 31 Jan 2022

We compared DEAM with the proposed method to the original DEAM and vendor reconstructions with and without metal-artifact reduction for orthopedic implants (O-MAR).