Liqiang Ren
Mayo Clinic
Imaging phantomQuantum noiseSignalArtificial intelligenceProjection (set theory)Artifact (error)Metal ArtifactComputer visionComputer scienceImage qualitySegmentation
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#1Liqiang Ren (Mayo Clinic)
#2Andrea Ferrero (Mayo Clinic)H-Index: 8
Last. Christopher P. Favazza (Mayo Clinic)H-Index: 24
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Numerous advances in CT imaging have led to improved image guidance for interventional oncology procedures. However, image artifacts stemming from metal devices used during procedures have remained a persistent problem. Severe artifacts introduced by metallic treatment devices significantly degrade image quality in anatomical regions of interest and can substantially reduce the confidence of the interventional radiologist in accurate probe placement. The purpose of this work is to develop a fram...
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