Real-time markerless respiratory motion management using thermal sensor data
Kaiser H, Fallavollita P, Navab N (2015)
Publication Type: Conference contribution
Publication year: 2015
Journal
Publisher: Springer Verlag
Book Volume: 9365
Pages Range: 61-68
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Munich, DEU
ISBN: 9783319246000
DOI: 10.1007/978-3-319-24601-7_7
Abstract
We present a novel approach to jointly generate multidimensional breathing signals and identify unintentional patient motion based on thermal torso imaging. The system can operate at least 30% faster than the currently fastest optical surface imaging systems. It provides easily obtainable point-to-point correspondences on the patients surface which makes the current use of computationally heavy non-rigid surface registration algorithms obsolete in our setup, as we can show that 2d tracking is sufficient to solve our problem. In a volunteer study consisting of 5 patient subjects we show that we can use the information to automatically separate unintentional movement, due to pain or coughing, from breathing motion to signal the user that it is necessary to re-register the patient. The method is validated on ground-truth annotated thermal videos and a clinical IR respiratory motion tracking system.
Involved external institutions
Germany (DE)How to cite
APA:
Kaiser, H., Fallavollita, P., & Navab, N. (2015). Real-time markerless respiratory motion management using thermal sensor data. In Ziv Yaniv, Cristian A. Linte, Pascal Fallavollita, Ziv Yaniv (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 61-68). Munich, DEU: Springer Verlag.
MLA:
Kaiser, Hagen, Pascal Fallavollita, and Nassir Navab. "Real-time markerless respiratory motion management using thermal sensor data." Proceedings of the 10th International Workshop on Augmented Environments for Computer-Assisted Interventions, AE-CAI 2015 and Held in Conjunction with, MICCAI 2015, Munich, DEU Ed. Ziv Yaniv, Cristian A. Linte, Pascal Fallavollita, Ziv Yaniv, Springer Verlag, 2015. 61-68.
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