Magnetic resonance-based computed tomography metal artifact reduction using Bayesian modelling
نویسندگان
چکیده
منابع مشابه
Evaluation of Metal Artifact Reduction software in Computed Tomography
Introduction: The image quality of computed tomography (CT) can be seriously lowered by metal implants of patients. These implants are known to exert a significant impact on diagnostic accuracy due to artifacts. The current study aimed to assess the usefulness of Metal Artifact Reduction (MAR) software in the reduction of metal artifacts, in comparison to iterative rec...
متن کاملEdge–Preserving Metal Artifact Reduction in Computed Tomography
Esther Meyer1,2, Rainer Raupach2, Michael Lell3, Bernhard Schmidt2, and Marc Kachelrieß1,4 1Institute of Medical Physics, Friedrich–Alexander University of Erlangen–Nürnberg (FAU), Erlangen, Germany 2Siemens Healthcare, Forchheim, Germany 3Institute of Diagnostic Radiology, Friedrich–Alexander University of Erlangen–Nürnberg (FAU), Erlangen, Germany 4Medical Physics in Radiology, German Cance...
متن کاملFrequency split metal artifact reduction (FSMAR) in computed tomography.
PURPOSE The problem of metal artifact reduction (MAR) is almost as old as the clinical use of computed tomography itself. When metal implants are present in the field of measurement, severe artifacts degrade the image quality and the diagnostic value of CT images. Up to now, no generally accepted solution to this issue has been found. In this work, a method based on a new MAR concept is present...
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Bimodal imaging combines two imaging modalities in order to benefit from their advantages and compensate the limitations of each modality. This technique could accurately detect diseases for diagnostic purposes. Nanoparticles simultaneously offer diagnostic data via various imaging modalities owing to their unique properties. Moreover, bimodal nanoprobes could be incorporated into theranostic s...
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■ Through-plane distortion: The local field offset leads to curved and frayed slices instead of the expected flat image plane (Fig. 1). Since both in-plane and through-plane distortions shift image pixels away from their real positions, image geometry appears to be distorted. In both cases, regions with severe field changes will lead to signal voids visible as black spots and signal pileups vis...
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ژورنال
عنوان ژورنال: Physics in Medicine & Biology
سال: 2019
ISSN: 1361-6560
DOI: 10.1088/1361-6560/ab5b70