Eric Shen
Papers
2
Total Citations
12
H-Index
2
About
Eric Shen is a researcher whose work has centered on the critical intersection of medical imaging and interventional precision, specifically focusing on the accuracy of electromagnetic (EM) tracking systems within computed tomography (CT) environments. His primary research areas include medical device validation, image-guided interventions, and the quantification of electromagnetic interference in clinical settings. Shen’s major contributions lie in systematically characterizing how a CT scanner’s environment degrades the positional accuracy of AC electromagnetic tracking systems—a technology vital for procedures like needle biopsies and catheter navigation. In his most cited work (2007, 8 citations), he used a three-axis positioning robot to meticulously quantify these effects on the NDI Aurora system, establishing a foundational benchmark for error. He further advanced this line of inquiry in a subsequent study (2008, 4 citations), examining how sensor orientation itself introduces additional variability. While his citation counts reflect a focused, technical audience, these studies are notable for providing essential, practical data that informs the safe and effective integration of tracking hardware into CT-guided procedures, directly impacting the development of more reliable surgical navigation tools.
Research Focus
Key Achievements
Top Papers
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