Gradient image smoothing for metal artifact reduction (GISMAR) in computed tomography

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dc.contributor.authorRodriguez-Gallo Guerra, Yakdiel
dc.contributor.authorOrozco Morales, Rubén
dc.contributor.authorPerez Diaz, Marlen
dc.contributor.departmentUniversidad Central "Marta Abreu" de Las Villas. Dpto de Automáticaen_US
dc.date.accessioned2022-02-17T16:08:34Z
dc.date.available2022-02-17T16:08:34Z
dc.date.issued2019-03-25
dc.description.abstractMetal artifacts can impair accurate diagnosis, and degrade the image quality and diagnostic value of CT-slices. In this work we propose a novel gradient image smoothing for metal artifact reduction (GISMAR) algorithm for image quality improvement in patients with hip implants, dental fillings, DBS implants and permanent seed implants. Using Image Smoothing via L0 Gradient Minimization method, a global thresholding method, and the principle of NMAR method, the authors developed a new MAR method that does not depend on access to raw projection data. To validate the authors' approach, 2D-CT data from twenty-two patients with different metal implants were used and processed by GISMAR and three more well- known algorithms. In order to evaluate metal artifact reduction, mean CT number (HU and SD) was calculated as well as a subjective analysis with three expert observers. Image quality on images was compared using the non-parametric Friedman-ANOVA test. We conclude that GISMAR method can efficiently reduce metal artifacts using CT-slice, does not introduce new artifacts, while preserving anatomical structures.en_US
dc.identifier.doi10.1088/2057-1976/ab0c4den_US
dc.identifier.urihttps://dspace.uclv.edu.cu/handle/123456789/13437
dc.language.isoen_USen_US
dc.relation.journalBiomedical Physics & Engineering Expressen_US
dc.source.initialpage035012en_US
dc.source.issue3en_US
dc.source.volume5en_US
dc.subjectComputed tomographyen_US
dc.subjectMetal artifact reductionen_US
dc.subjectImplantsen_US
dc.subjectImage qualityen_US
dc.titleGradient image smoothing for metal artifact reduction (GISMAR) in computed tomographyen_US
dc.typeArticleen_US
dc.type.article1en_US

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