Metal artefact reduction with cone beam CT: an in vitro studyīechara, BB Moore, WS McMahan, CA Noujeim, Mīackground Metal in a patient's mouth has been shown to cause artefacts that can interfere with the diagnostic quality of cone beam CT. Materials and Methods: The Gemstone Spectral Imaging (GSI)-based and SMART Metal Artefact Reduction (MAR) algorithms are metal artefact reduction protocols embedded in two different CT scanner models by General Electric (GE), and the Dual-Energy Imaging Method was developed at Duke University. This study uses Gemstone Spectral Imaging (GSI)-based MAR algorithm, projection-based Metal Artefact Reduction (MAR) algorithm, and the Dual-Energy method. This research study evaluates the dosimetric effect of metal artefact reduction algorithms on severe artefacts on CT images. However, very limited information is available about the effect of artefact correction on dose calculation accuracy. Different algorithms are being developed to reduce these artefacts for better image quality for both diagnostic and therapeutic purposes. This is of great significance because the distortions may cause improper evaluation of images and inaccurate dose calculation in the treatment planning system. These implants create artefacts such as beam hardening and photon starvation that distort CT images and degrade image quality. Hip prostheses, dental fillings, aneurysm clips, and spinal clips are a few examples of metal objects that are of clinical relevance. This problem of increased HU values due to metal presence is referred to as metal artefacts.
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High density materials, such as metal, tend to erroneously increase the HU values around it due to reconstruction software limitations. High HU-valued materials represent higher density. CT images are presented through a gray scale of independent values in Hounsfield units (HU).
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In comparison to other imaging modalities such as Magnetic Resonance Imaging (MRI), CT is a fast acquisition imaging device with higher spatial resolution and higher contrast-to-noise ratio (CNR) for bony structures. Purpose: Computed Tomography (CT) is one of the standard diagnostic imaging modalities for the evaluation of a patient's medical condition. • We should be aware about potential overcorrection when using GSI-MARs.ĭosimetric Evaluation of Metal Artefact Reduction using Metal Artefact Reduction (MAR) Algorithm and Dual-energy Computed Tomography (CT) Method • However image quality is influenced by the prosthesis composition and other parameters. • Gemstone spectral imaging (GSI) with dual-energy CT (DECT) offers a novel solution • GSI and metallic artefact reduction software (GSI-MAR) can markedly reduce these artefacts. • Metal-related artefacts can be troublesome on musculoskeletal computed tomography (CT). The metallic composition and size should be considered in metallic imaging with GSI-MARs reconstruction. We should be cautious when using GSI-MARs because the image quality was affected by the prosthesis composition, energy (in keV) and DFOV.
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Dual-energy CT with GSI-MARs can reduce metal-related artefacts and improve the delineation of the prosthesis and periprosthetic region. The spectral CT numbers of the prosthesis and periprosthetic regions showed different patterns on stainless steel and titanium plates. The GSI-MARs reconstruction can markedly reduce the metal-related artefacts, and the image quality was affected by the prosthesis composition and DFOV. All images were retrospectively reviewed in terms of the visualisation of periprosthetic regions and the severity of beam-hardening artefacts by using a five-point scale. A clinical study was performed in 26 patients with metallic hardware. A phantom study of size and CT numbers was performed in a titanium plate and a stainless steel plate. The CT data were retro-reconstructed with/without MARs, by different displayed fields-of-view (DFOV), and with synthesised monochromatic energy in the range 40-140 keV. The DECTs were performed using fast kV-switching GSI between 80 and 140 kV. To assess the usefulness of gemstone spectral imaging (GSI) dual-energy CT (DECT) with/without metal artefact reduction software (MARs).
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Lee, Young Han Park, Kwan Kyu Song, Ho-Taek Kim, Sungjun Suh, Jin-Suck Metal artefact reduction in gemstone spectral imaging dual-energy CT with and without metal artefact reduction software.