Characterization of Metal Artifacts in X-Ray Computed Tomography-Reference-Cited by-同舟云学术

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Characterization of Metal Artifacts in X-Ray Computed Tomography

Published:2017-01-04 Issue:11 Volume:70 Page:2191-2217
ISSN:0010-3640
Container-title:Communications on Pure and Applied Mathematics
language:en
Short-container-title:Comm. Pure Appl. Math.

Author:

Park Hyoung Suk¹,Choi Jae Kyu²,Seo Jin Keun³

Affiliation:

1. Division of Integrated Mathematics National Institute for Mathematical Sciences; Daejeon 34047 KOREA

2. Institute of Natural Sciences; Shanghai Jiao Tong University; Shanghai 200240 CHINA

3. Department of Computational Science and Engineering; Yonsei University, 50 Yonsei-ro, Seodaemun-gu; Seoul 03722 KOREA

Publisher

Wiley

Subject

Applied Mathematics,General Mathematics

Reference72 articles.

1. Reduction of dental filling metallic artifacts in CT-based attenuation correction of pet data using weighted virtual sinograms optimized by a genetic algorithm;Abdoli;Med. Phys.,2010

2. Metal artifact reduction in CT using tissue-class modeling and adaptive prefiltering;Bal;Med. Phys.,2006

3. Artifacts in CT: recognition and avoidance 1;Barrett;Radiographics,2004

4. Correction of CT artifacts and its influence on Monte Carlo dose calculations;Bazalova;Med. Phys.,2007

5. Bestimmung der absorption des rothen lichts in farbigen flussigkeiten;Beer;Ann. Phys. Chem.,1852

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1. Clinical Applications of Low-Dose Dental Cone-Beam Computed Tomography;Emerging Radiation Detection;2024

2. Sparse-view X-ray CT based on a box-constrained nonlinear weighted anisotropic TV regularization;Mathematical Biosciences and Engineering;2024

3. Nonlinear ill-posed problem in low-dose dental cone-beam computed tomography;IMA Journal of Applied Mathematics;2023-06-23

4. The Nature of Metal Artifacts in X-ray Computed Tomography and Their Reduction by Optimization of Tomography Systems Parameters;Applied Sciences;2023-02-19

5. Deep Learning for Dental Cone-Beam Computed Tomography;Mathematics in Industry;2023

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