Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Standardization of Lung CT Number Using COPD Gene2 Phantom Under Various Scanning Protocols.

Sensors (Basel, Switzerland)·2025

Same author

Effect of optical blurring of X-ray source on breast tomosynthesis image quality: Modulation transfer function, anatomical noise power spectrum, and signal detectability perspectives.

PloS one·2022

Same author

Two-phase learning-based 3D deblurring method for digital breast tomosynthesis images.

PloS one·2022

Same author

Inter-species cortical registration between macaques and humans using a functional network property under a spherical demons framework.

PloS one·2021

Same author

A metal artifact reduction method for small field of view CT imaging.

PloS one·2021

Same author

Tensor framelet based iterative image reconstruction algorithm for low-dose multislice helical CT.

PloS one·2019

Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026

Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026

Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026

Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026

Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026

Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 28, 2026

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences

Published on: May 17, 2018

A metal artifact reduction algorithm in CT using multiple prior images by recursive active contour segmentation.

Haewon Nam¹, Jongduk Baek^2,3

¹Department of Liberal Arts and Science, Hongik University, Sejong, South Korea.

|June 13, 2017

Summary

This summary is machine-generated.

This study introduces a new metal artifact reduction (MAR) algorithm for CT images. The novel approach effectively reduces artifacts caused by metal implants by completing corrupted sinogram data, enhancing image quality.

More Related Videos

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Related Experiment Videos

Last Updated: Feb 28, 2026

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences

Published on: May 17, 2018

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Area of Science:

Medical Imaging
Image Processing
Computational Imaging

Background:

Metal implants in CT scans cause severe artifacts due to high X-ray attenuation.
These artifacts degrade image quality, hindering accurate diagnosis and treatment planning.

Purpose of the Study:

To develop a novel metal artifact reduction (MAR) algorithm for CT images.
To improve image quality in the presence of metal implants by addressing corrupted sinogram data.

Main Methods:

A novel MAR algorithm that completes corrupted sinograms along metal traces.
Utilizes multiple prior images generated via recursive active contour (RAC) segmentation.
Employs residual error compensation in sinogram space for efficient artifact correction.

Main Results:

The proposed algorithm outperforms MAR with linear interpolation and normalized MAR.
Demonstrated superior performance on simulated and experimental data, especially for complex objects with multiple bones.
Effective completion of the sinogram along the metal trace region.

Conclusions:

The novel MAR algorithm offers significant improvements over existing methods.
Provides enhanced image quality for CT scans with metal implants.
Shows particular efficacy in complex scenarios involving multiple bone structures.