TY - GEN
T1 - Development of semi-automatic procedure for detection and tracking of fiducial markers for orofacial kinematics during natural feeding
AU - Bunyak, Filiz
AU - Shiraishi, Naru
AU - Palaniappan, Kannappan
AU - Lever, Teresa E.
AU - Avivi-Arber, Limor
AU - Takahashi, Kazutaka
N1 - Funding Information:
K.T. was supported by NIH R01 DE023816. N.S. was supported by Strategic Young Researcher Overseas Visits Program for Accelerating Brain Circulation, JSPS, JAPAN. This work was supported by National Center for Advancing Translational Sciences of the National Institutes of Health through Grant Number UL1 TR000430 and Mizzou advantage funding.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/9/13
Y1 - 2017/9/13
N2 - Feeding is a highly complex, essential behavior for survival in all species. Characterization of feeding behaviors has implications in basic science and translational medicine. We have been developing methods to study feeding behaviors using high speed videofluoroscopy (XROMM) in rats while self-feeding radiopaque flavored kibble. The rat is a popular model in translational medicine; however, it has not been studied using this methodology. Towards this goal, we surgically implanted radiopaque fiducial markers into the skull, mandible, and tongue of rats to enable motion tracking. We are developing computer vision tools to extract kinematics and behavioral features from XROMM videos to overcome barriers of current analysis methods. By understanding feeding dynamics, we will gain basic scientific knowledge and translational insights for feeding disorders caused by neurological conditions such as ALS, Parkinson's disease, and stroke.
AB - Feeding is a highly complex, essential behavior for survival in all species. Characterization of feeding behaviors has implications in basic science and translational medicine. We have been developing methods to study feeding behaviors using high speed videofluoroscopy (XROMM) in rats while self-feeding radiopaque flavored kibble. The rat is a popular model in translational medicine; however, it has not been studied using this methodology. Towards this goal, we surgically implanted radiopaque fiducial markers into the skull, mandible, and tongue of rats to enable motion tracking. We are developing computer vision tools to extract kinematics and behavioral features from XROMM videos to overcome barriers of current analysis methods. By understanding feeding dynamics, we will gain basic scientific knowledge and translational insights for feeding disorders caused by neurological conditions such as ALS, Parkinson's disease, and stroke.
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U2 - 10.1109/EMBC.2017.8036891
DO - 10.1109/EMBC.2017.8036891
M3 - Conference contribution
C2 - 29059939
AN - SCOPUS:85032179245
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 580
EP - 583
BT - 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
Y2 - 11 July 2017 through 15 July 2017
ER -