Erik Gotfredsen
Papers
2
Total Citations
91
H-Index
2
About
Erik Gotfredsen is a leading researcher in dental and maxillofacial imaging, with a primary focus on cone beam computed tomography (CBCT) and the critical challenge of motion artefacts. His work centers on understanding how patient head movement degrades image quality in CBCT, a key concern for diagnostic accuracy in dentistry and oral surgery. Gotfredsen’s most influential contribution is his pioneering use of a robot skull to simulate realistic, reproducible head motions during CBCT scanning. In his landmark 2012 study (79 citations), he systematically characterized the visual artefacts produced by ten distinct motion patterns, establishing a foundational framework for identifying and mitigating motion-related image degradation. This work directly impacts clinical practice by helping radiologists and clinicians recognize artefact types and improve scan protocols. His subsequent 2017 research advanced the field by evaluating the accuracy of video observation and 3D head tracking systems for detecting and quantifying these movements, offering practical tools for motion compensation. Through these innovative, methodologically rigorous studies, Gotfredsen has significantly advanced our understanding of CBCT image quality, providing essential insights for both technology developers and clinical practitioners striving for clearer, more reliable diagnostic images.
Research Focus
Key Achievements
Top Papers
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