NDLI: Semiautomatic marker tracking of tongue positions captured by videofluoroscopy during primate feeding

Content Provider	IEEE Xplore Digital Library
Author	Best, M.D. Nakamura, Y. Kijak, N.A. Allen, M.J. Lever, T.E. Hatsopoulos, N.G. Ross, C.F. Takahashi, K.
Copyright Year	2015
Description	Author affiliation: Dept. of Otolaryngology-Head & Neck Surg., Sch. of Med., Univ. of Missouri, Columbia, MO, USA (Allen, M.J.; Lever, T.E.) \|\| Dept. of Organismal Biol. & Anatomy, Univ. of Chicago, Chicago, IL, USA (Nakamura, Y.; Kijak, N.A.; Ross, C.F.; Takahashi, K.) \|\| Comm. on Comput. Neurosci., Univ. of Chicago, Chicago, IL, USA (Best, M.D.; Hatsopoulos, N.G.)
Abstract	Videofluoroscopy (VF) is one of the most commonly used tools to assess oropharyngeal dysphagia as well as to visualize musculoskeletal structures of humans and animals engaged in various behaviors, including feeding. Despite its importance in clinical and scientific use, processing VF data has historically been extremely tedious because it is performed using manual frame-by-frame methods. With recent technological advances, the frame rate for scientific use has been increasing along with the use of high speed data capture systems. In the current study, we used non-human primates as a model animal to study human feeding behaviors to capture tongue movement based on markers implanted into the tongue. Here, we introduce a semi-automatic marker tracking algorithm that yields high tracking accuracy (> 90%) and dramatic speed improvements (faster than real time labeling). Furthermore, we quantify the sources of tracking errors and the tracking performance as a function of marker speeds. Our results indicate that there is more room for methodological improvements both in detection and prediction of marker positions. Moreover, correspondingly faster frame rates will be required to capture faster kinematic behaviors such as those of mice, which are extensively used to study both control and pathological conditions.
Starting Page	5347
Ending Page	5350
File Size	1908908
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7319599
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tongue Prediction algorithms Kinematics Tracking Algorithm design and analysis Animals Manuals
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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