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Updated: May 31, 2026

Minimally Invasive Murine Laryngoscopy for Close-Up Imaging of Laryngeal Motion During Breathing and Swallowing
Published on: December 1, 2023
Joëlle K Barral1, Juan M Santos, Edward J Damrose
1Magnetic Resonance Systems Research Laboratory, Department of Electrical Engineering, Stanford University, Stanford, California, USA. jbarral@mrsrl.stanford.edu
This study introduces a real-time motion compensation algorithm for high-resolution larynx imaging. The new method effectively reduces motion artifacts, improving image quality in vivo.
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