Rubens Spin‐Neto
Papers
7
Total Citations
159
H-Index
5
About
Rubens Spin‐Neto is a leading researcher in oral and maxillofacial radiology, with a primary focus on understanding and mitigating motion artefacts in cone beam computed tomography (CBCT) imaging. His work systematically characterizes how patient head movement degrades CBCT image quality and interpretability, using an innovative robot-skull platform to simulate realistic motion patterns. Spin‐Neto’s seminal 2012 paper on motion artefacts and their visual impact has garnered 79 citations, establishing a foundational reference in the field. He has since advanced the science by evaluating automated motion-artefact correction systems, demonstrating their potential to restore diagnostic accuracy for tasks such as implant planning and detection of apical periodontitis. His studies span multiple CBCT detector configurations and include ex vivo human cadaver work, providing clinically relevant evidence. Spin‐Neto’s research not only quantifies artefact severity but also tests correction algorithms, directly informing clinical protocols and device development. His contributions are essential for radiologists, dentists, and biomedical engineers seeking to improve CBCT reliability in the presence of inevitable patient motion.
Research Focus
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