Literature DB >> 23927298

Evaluation of normalized metal artifact reduction (NMAR) in kVCT using MVCT prior images for radiotherapy treatment planning.

M R Paudel1, M Mackenzie, B G Fallone, S Rathee.   

Abstract

PURPOSE: To evaluate the metal artifacts in kilovoltage computed tomography (kVCT) images that are corrected using a normalized metal artifact reduction (NMAR) method with megavoltage CT (MVCT) prior images.
METHODS: Tissue characterization phantoms containing bilateral steel inserts are used in all experiments. Two MVCT images, one without any metal artifact corrections and the other corrected using a modified iterative maximum likelihood polychromatic algorithm for CT (IMPACT) are translated to pseudo-kVCT images. These are then used as prior images without tissue classification in an NMAR technique for correcting the experimental kVCT image. The IMPACT method in MVCT included an additional model for the pair∕triplet production process and the energy dependent response of the MVCT detectors. An experimental kVCT image, without the metal inserts and reconstructed using the filtered back projection (FBP) method, is artificially patched with the known steel inserts to get a reference image. The regular NMAR image containing the steel inserts that uses tissue classified kVCT prior and the NMAR images reconstructed using MVCT priors are compared with the reference image for metal artifact reduction. The Eclipse treatment planning system is used to calculate radiotherapy dose distributions on the corrected images and on the reference image using the Anisotropic Analytical Algorithm with 6 MV parallel opposed 5×10 cm2 fields passing through the bilateral steel inserts, and the results are compared. Gafchromic film is used to measure the actual dose delivered in a plane perpendicular to the beams at the isocenter.
RESULTS: The streaking and shading in the NMAR image using tissue classifications are significantly reduced. However, the structures, including metal, are deformed. Some uniform regions appear to have eroded from one side. There is a large variation of attenuation values inside the metal inserts. Similar results are seen in commercially corrected image. Use of MVCT prior images without tissue classification in NMAR significantly reduces these problems. The radiation dose calculated on the reference image is close to the dose measured using the film. Compared to the reference image, the calculated dose difference in the conventional NMAR image, the corrected images using uncorrected MVCT image, and IMPACT corrected MVCT image as priors is ∼15.5%, ∼5%, and ∼2.7%, respectively, at the isocenter.
CONCLUSIONS: The deformation and erosion of the structures present in regular NMAR corrected images can be largely reduced by using MVCT priors without tissue segmentation. The attenuation value of metal being incorrect, large dose differences relative to the true value can result when using the conventional NMAR image. This difference can be significantly reduced if MVCT images are used as priors. Reduced tissue deformation, better tissue visualization, and correct information about the electron density of the tissues and metals in the artifact corrected images could help delineate the structures better, as well as calculate radiation dose more correctly, thus enhancing the quality of the radiotherapy treatment planning.

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Year:  2013        PMID: 23927298     DOI: 10.1118/1.4812416

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  8 in total

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2.  Iterative metal artifact reduction improves dose calculation accuracy : Phantom study with dental implants.

Authors:  Manuel Maerz; Pia Mittermair; Andreas Krauss; Oliver Koelbl; Barbara Dobler
Journal:  Strahlenther Onkol       Date:  2016-03-11       Impact factor: 3.621

3.  Application of Metal Implant 16-Bit Imaging: New Technique in Radiotherapy.

Authors:  Ni Xin-Ye; Gao Liugang; Fang Mingming; Lin Tao
Journal:  Technol Cancer Res Treat       Date:  2016-06-23

4.  Polyenergetic known-component CT reconstruction with unknown material compositions and unknown x-ray spectra.

Authors:  S Xu; A Uneri; A Jay Khanna; J H Siewerdsen; J W Stayman
Journal:  Phys Med Biol       Date:  2017-02-23       Impact factor: 3.609

5.  Improved contrast and noise of megavoltage computed tomography (MVCT) through cycle-consistent generative machine learning.

Authors:  Luciano Vinas; Jessica Scholey; Martina Descovich; Vasant Kearney; Atchar Sudhyadhom
Journal:  Med Phys       Date:  2020-12-27       Impact factor: 4.071

Review 6.  Computed tomography imaging parameters for inhomogeneity correction in radiation treatment planning.

Authors:  Indra J Das; Chee-Wai Cheng; Minsong Cao; Peter A S Johnstone
Journal:  J Med Phys       Date:  2016 Jan-Mar

7.  Metal artifact reduction through MVCBCT and kVCT in radiotherapy.

Authors:  Gao Liugang; Sun Hongfei; Ni Xinye; Fang Mingming; Cao Zheng; Lin Tao
Journal:  Sci Rep       Date:  2016-11-21       Impact factor: 4.379

8.  Effects of 16-bit CT imaging scanning conditions for metal implants on radiotherapy dose distribution.

Authors:  Liugang Gao; Hongfei Sun; Xinye Ni; Mingming Fang; Tao Lin
Journal:  Oncol Lett       Date:  2017-12-11       Impact factor: 2.967

  8 in total

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