Philip J. Noonan

King's College London

Papers

1

Total Citations

5

H-Index

1

About

Philip J. Noonan is a researcher whose work sits at the intersection of medical imaging, computer vision, and motion correction, with a particular focus on improving the reliability of stroke diagnosis. His most cited paper, "Characterization of the Intel RealSense D415 Stereo Depth Camera for Motion-Corrected CT Imaging" (2019, 5 citations), addresses a critical clinical problem: patient head motion during CT perfusion (CTP) imaging, which can compromise the analysis of acute ischemic stroke. By rigorously characterizing a consumer-grade depth camera for motion tracking, Noonan’s work lays the groundwork for real-time, intra-frame motion compensation—a step toward more accurate and robust stroke assessment. This contribution is notable for bridging low-cost hardware with high-stakes clinical imaging, offering a practical path to reducing motion artifacts without expensive specialized equipment. Though his citation count is modest, the specificity and translational potential of his research highlight his impact in a niche but vital area of medical physics and image-guided intervention.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Characterization of the Intel RealSense D415 Stereo Depth Camera for Motion-Corrected CT Imaging
5 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: King's College London

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago