2014
DOI: 10.1016/j.ijrobp.2014.02.040
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Clinical Evaluation of Normalized Metal Artifact Reduction in kVCT Using MVCT Prior Images (MVCT-NMAR) for Radiation Therapy Treatment Planning

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Cited by 18 publications
(18 citation statements)
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“…These mainly involve manipulating X-ray energies, such as dual-energy acquisition techniques, 5 highenergy X-rays 6,7 and image processing, such as iterative reconstruction methods [8][9][10] or interpolation of metal object. [11][12][13][14][15][16] The majority of image processing approach treats the projections on metal objects which were segmented from sinograms or images as a corrupt or missing data.…”
Section: Introductionmentioning
confidence: 99%
“…These mainly involve manipulating X-ray energies, such as dual-energy acquisition techniques, 5 highenergy X-rays 6,7 and image processing, such as iterative reconstruction methods [8][9][10] or interpolation of metal object. [11][12][13][14][15][16] The majority of image processing approach treats the projections on metal objects which were segmented from sinograms or images as a corrupt or missing data.…”
Section: Introductionmentioning
confidence: 99%
“…Besides image interpretation, artifacts from high-density objects represent a severe problem for radiation therapy planning and attenuation correction in positron emission tomography CT (PET-CT) (4)(5)(6)(7).…”
Section: Introductionmentioning
confidence: 99%
“…The possibility of metal artifact reduction through a combination of kV and MV projection methods has been studied by several researchers. Recently, a normalized MAR (NMAR) method improved with MV-CT prior images was introduced by Paudel et al 33,34 They showed that the use of MV-CT prior images in NMAR significantly reduced several problems associated with the conventional NMAR method, 11 such as the deformation and erosion of structures. In addition, the MV prior image offered the correct CT number of metals in the kV image.…”
Section: Discussionmentioning
confidence: 99%