2025-03-19 ジョージア工科大学(Georgia Tech)
<関連情報>
- https://research.gatech.edu/thermal-imaging-could-be-simple-highly-accurate-way-track-vital-signs
- https://coe.gatech.edu/news/2025/03/thermal-imaging-could-be-simple-highly-accurate-way-track-vital-signs
- https://www.cell.com/cell-reports-physical-science/fulltext/S2666-3864(25)00100-6
ハイパースペクトル位相サーモグラフィー Hyperspectral phasor thermography
Dingding Han∙ Corey Zheng∙ Zhi Ling∙ Shu Jia
Cell Report Physical Science Published:March 19, 2025
DOI:https://doi.org/10.1016/j.xcrp.2025.102501
Graphical abstract
Highlights
- Thermal phasor analysis enables rapid and precise material and texture extraction
- Phasor-enabled thermal unmixing improves the accuracy of temperature evaluation
- Phasor thermography (PTG) enhances the clarity and quality of thermal imaging
- PTG demonstrates robustness and reliability in contactless vital-sign detection
Summary
Thermography is a non-contact and fully passive imaging technology that translates infrared thermal radiation into visible images. Despite its growing use in human-subject monitoring, conventional thermography encounters spectral ambiguity, hampering its ability to accurately detect subtle physiological features such as vital signs. In this study, we introduce phasor thermography (PTG) for hyperspectral, high-resolution, multiparametric thermal imaging and vision. PTG leverages hyperspectral radiation modeling, full-harmonics thermal phasor analysis, and multiparametric thermal unmixing to enhance texture extraction, material classification, and precise temperature measurement. We demonstrate the PTG system using various phantom and living subjects in room-temperature settings, verifying its robustness and reliability in detecting physiological signals such as body temperature, respiration rate, and heart rate across different body regions. The PTG framework shows strong resistance to complex and non-uniform environmental radiation and integrates seamlessly with all major infrared thermography platforms. This advancement provides a promising methodological pathway for next-generation medical thermography.
