Metal Artifact Reduction in Computed Tomography Using Nonequispaced Fourier Transform

被引：11

作者：

Kratz, Baerbel ^{[1
]}

Buzug, Thorsten M. ^{[1
]}

机构：

[1] Univ Lubeck, IMT, D-23538 Lubeck, Germany

来源：

2009 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD, VOLS 1-5 | 2009年

关键词：

CT; RECONSTRUCTION;

D O I：

10.1109/NSSMIC.2009.5401974

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Metal objects in the field of view of a computed tomography (CT) scanner cause several artifacts inside the reconstructed image. By reducing the influence of these metallic objects the image quality can be enhanced. We propose a metal artifact reduction (MAR) method based on interpolation using Nonequispaced Fast Fourier Transforms (NFFT). By damping the transformation additional a priori knowledge may be included during the interpolation step. The results are reconstructed with a weighted maximum likelihood expectation maximization algorithm (lambda-MLEM) and finally compared to two common one dimensional polynomial interpolation methods.

引用

页码：2720 / 2723

页数：4

共 50 条

[31] Convolutional Neural Network Based Metal Artifact Reduction in X-Ray Computed Tomography
Zhang, Yanbo
Yu, Hengyong
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2018, 37 (06) : 1370 - 1381
[32] How Well Does Dual-Energy Computed Tomography With Metal Artifact Reduction Software Improve Image Quality and Quantify Computed Tomography Number and Iodine Concentration?
Ohira, Shingo
Kanayama, Naoyuki
Wada, Kentaro
Karino, Tsukasa
Nitta, Yuya
Ueda, Yoshihiro
Miyazaki, Masayoshi
Koizumi, Masahiko
Teshima, Teruki
JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2018, 42 (04) : 655 - 660
[33] Deep Learning Based Projection Domain Metal Segmentation for Metal Artifact Reduction in Cone Beam Computed Tomography
Agrawal, Harshit
Hietanen, Ari
Sarkka, Simo
IEEE ACCESS, 2023, 11 : 100371 - 100382
[34] Metal artifact correction for x-ray computed tomography using kV and selective MV imaging
Wu, Meng
Keil, Andreas
Constantin, Dragos
Star-Lack, Josh
Zhu, Lei
Fahrig, Rebecca
MEDICAL PHYSICS, 2014, 41 (12)
[35] An image-based metal artifact reduction technique utilizing forward projection in computed tomography
Ichikawa, Katsuhiro
Kawashima, Hiroki
Takata, Tadanori
RADIOLOGICAL PHYSICS AND TECHNOLOGY, 2024, 17 (02) : 402 - 411
[36] Retained bullets in the head on computed tomography - Get the most out of iterative metal artifact reduction
Berger, Florian
Niemann, Tilo
Kubik-Huch, Rahel A.
Richter, Henning
Thali, Michael J.
Gascho, Dominic
EUROPEAN JOURNAL OF RADIOLOGY, 2018, 103 : 124 - 130
[37] Metal Artifact Reduction in Routine Chest and Abdominal Examinations Using Virtual Monoenergetic Images From Spectral Detector Computed Tomography
Van Hedent, Steven
Kessner, Rivka
Grosse Hokamp, Nils
Baran, Tomer Ziv
Kosmas, Christos
Gupta, Amit
JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2019, 43 (05) : 713 - 717
[38] Quantitative analysis of metal artifact reduction using the auto-edge counting method in cone-beam computed tomography
Kim, Young Hyun
Lee, Chena
Han, Sang-Sun
Jeon, Kug Jin
Choi, Yoon Joo
Lee, Ari
SCIENTIFIC REPORTS, 2020, 10 (01)
[39] Metal Artifact Reduction on Chest Computed Tomography Examinations: Comparison of the Iterative Metallic Artefact Reduction Algorithm and the Monoenergetic Approach
Pagniez, Julien
Legrand, Louise
Khung, Suonita
Faivre, Jean-Baptiste
Duhamel, Alain
Krauss, Andreas
Remy, Jacques
Remy-Jardin, Martine
JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2017, 41 (03) : 446 - 454
[40] Evaluation of the efficacy of a metal artifact reduction algorithm in different cone beam computed tomography scanning parameters
Queiroz, Polyane Mazucatto
Groppo, Francisco Carlos
Oliveira, Matheus Lima
Haiter-Neto, Francisco
Freitas, Deborah Queiroz
ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY, 2017, 123 (06): : 729 - 734

← 1 2 3 4 5 →