David Henry
Papers
3
Total Citations
30
H-Index
2
About
David Henry is a biomedical engineer whose research focuses on solving one of neuroimaging’s most persistent challenges: patient head motion. His work centers on developing markerless, real-time motion tracking systems for MRI, PET-MRI, and CT imaging—technologies that promise to dramatically improve image quality without requiring cumbersome fiducial markers. Henry’s major contribution lies in adapting commercial stereo depth cameras, such as the Intel RealSense D415, for in-bore motion correction. His 2020 paper on marker-free optical stereo tracking for MRI and PET-MRI, which has garnered 23 citations, demonstrates a practical “silver bullet” approach to prospective motion correction that is immune to spin history artifacts. He has also optimized feature detection algorithms specifically for motion-compensated neuroimaging, ensuring that motion estimates are both accurate and fast enough for real-time correction. With applications ranging from acute stroke assessment to high-resolution functional imaging, Henry’s work is paving the way for more reliable, patient-friendly neuroimaging protocols that could transform clinical and research practice.
Research Focus
Key Achievements
Top Papers
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