Adaptive normalized metal artifact reduction (ANMAR) in computed tomography

Metal artifacts drastically impair the image quality in CT images and often reduce their diagnostic value. There are many publications on metal artifact reduction (MAR) which regard the metal-affected parts of the rawdata as completely unreliable and therefore replace it. While those sinogram inpain...

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Bibliographic Details
Published in2011 IEEE Nuclear Science Symposium Conference Record pp. 2560 - 2565
Main Authors Meyer, Esther, Raupach, Rainer, Schmidt, Bernhard, Mahnken, Andreas H., Kachelriess, Marc
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2011
Subjects
Bones
Computed tomography
Fasteners
Implants
Interpolation
Irrigation
Metals
Pacemakers
Prosthetics
Shape
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ISBN1467301183
9781467301183
ISSN1082-3654
DOI10.1109/NSSMIC.2011.6152691

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Summary:Metal artifacts drastically impair the image quality in CT images and often reduce their diagnostic value. There are many publications on metal artifact reduction (MAR) which regard the metal-affected parts of the rawdata as completely unreliable and therefore replace it. While those sinogram inpainting methods are in general successful in removing metal artifacts, they cannot exactly recover the true values which are replaced and therefore the corrected image will exhibit new artifacts and blurring.
ISBN:1467301183
9781467301183
ISSN:1082-3654
DOI:10.1109/NSSMIC.2011.6152691