Incremental Low Rank Noise Reduction for Robust Infrared Tracking of Body Temperature during Medical Imaging

Incremental Low Rank Noise Reduction for Robust Infrared Tracking of Body Temperature during Medical Imaging

Thermal imagery for monitoring of body temperature provides a powerful tool to decrease health risks (e.g., burning) for patients during medical imaging (e.g., magnetic resonance imaging). The presented approach discusses an experiment to simulate radiology conditions with infrared imaging along wit...

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Bibliographic Details
Main Authors: Bardia Yousefi, Hossein Memarzadeh Sharifipour, Mana Eskandari, Clemente Ibarra-Castanedo, Denis Laurendeau, Raymond Watts, Matthieu Klein, Xavier P. V. Maldague
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Electronics
Subjects:
infrared and thermal image analysis
incremental low rank noise reduction
incremental singular value decomposition
segmentation
monitoring of body temperature
particle filter tracking
Online Access:https://www.mdpi.com/2079-9292/8/11/1301

Internet

https://www.mdpi.com/2079-9292/8/11/1301

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