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
收藏
页码：2720 / 2723
页数：4
相关论文
共 50 条
  • [21] Metal Artifact Reduction in Pelvic Computed Tomography With Hip Prostheses Comparison of Virtual Monoenergetic Extrapolations From Dual-Energy Computed Tomography and an Iterative Metal Artifact Reduction Algorithmin a Phantom Study
    Higashigaito, Kai
    Angst, Florian
    Runge, Val M.
    Alkadhi, Hatem
    Donati, Olivio F.
    INVESTIGATIVE RADIOLOGY, 2015, 50 (12) : 828 - 834
  • [22] Metal Artifact Reduction in Cone-Beam Computed Tomography for Head and Neck Radiotherapy
    Korpics, Mark
    Johnson, Paul
    Patel, Rakesh
    Surucu, Murat
    Choi, Mehee
    Emami, Bahman
    Roeske, John C.
    TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2016, 15 (06) : NP88 - NP94
  • [23] Advancements in supervised deep learning for metal artifact reduction in computed tomography: A systematic review
    Kleber, Cecile E. J.
    Karius, Ramez
    Naessens, Lucas E.
    Van Toledo, Coen O.
    van Osch, Jochen A. C.
    Boomsma, Martijn F.
    Heemskerk, Jan W. T.
    van der Molen, Aart J.
    EUROPEAN JOURNAL OF RADIOLOGY, 2024, 181
  • [24] Iterative metal artifact reduction for x-ray computed tomography using unmatched projector/backprojector pairs
    Zhang, Hanming
    Wang, Linyuan
    Li, Lei
    Cai, Ailong
    Hu, Guoen
    Yan, Bin
    MEDICAL PHYSICS, 2016, 43 (06) : 3019 - 3033
  • [25] A novel reconstruction algorithm for arm-artifact reduction in computed tomography
    Kawashima, Hiroki
    Ichikawa, Katsuhiro
    Takata, Tadanori
    Matsubara, Kosuke
    Kobayashi, Satoshi
    MEDICAL IMAGING 2018: PHYSICS OF MEDICAL IMAGING, 2018, 10573
  • [26] A robust index for metal artifact quantification in computed tomography
    Cammin, Jochen
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2024, 25 (08):
  • [27] Quantitative Comparison of Commercial and Non-Commercial Metal Artifact Reduction Techniques in Computed Tomography
    Wagenaar, Dirk
    van der Graaf, Emiel R.
    van der Schaaf, Arjen
    Greuter, Marcel J. W.
    PLOS ONE, 2015, 10 (06):
  • [28] Radiotherapy planning of spine and pelvis using single-energy metal artifact reduction corrected computed tomography sets
    Ignatius, Daliya
    Alkhatib, Zaid
    Rowshanfarzad, Pejman
    Goodall, Simon
    Ibrahim, Mounir
    Hirst, Andrew
    Croxford, Riley
    Dass, Joshua
    Sabet, Mahsheed
    PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2023, 26
  • [29] High-kVp Assisted Metal Artifact Reduction for X-Ray Computed Tomography
    Xi, Yan
    Jin, Yannan
    De Man, Bruno
    Wang, Ge
    IEEE ACCESS, 2016, 4 : 4769 - 4776
  • [30] Sparsity Constrained Sinogram Inpainting for Metal Artifact Reduction in X-ray Computed Tomography
    Mehranian, A.
    Ay, M. R.
    Rahmim, A.
    Zaidi, H.
    2011 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC), 2011, : 3694 - 3699
12345