Title :
Facial nerve stream modeling for facial paralysis patients states evolution
Author :
Akaichi, Jalel ; Oueslati, Wided
Author_Institution :
Dept. of Comput. Sci., ISG-Univ. of Tunis, Bardo, Tunisia
Abstract :
The objective of this work is to supervise the states evolution of patients affected by facial paralysis leading to recovery. Modeling facial nerve stream trajectory data seems to be an essential step leading to perform our purpose. In fact, it permits representation unification and facilitates data querying in order to ensure recovery surveillance and the disease understanding. Moreover a visualization algorithm is proposed to track facial nerve stream in order to observe recovery progress and to identify the occurrence of conduction problem preventing it.
Keywords :
data visualisation; medical computing; query processing; conduction problem occurrence; data querying; disease understanding; facial nerve stream trajectory data modeling; facial paralysis patients states evolution; recovery progress; recovery surveillance; representation unification; visualization algorithm; Data visualization; Diseases; Face; Muscles; Neck; Trajectory; Facial nerve stream; moving objects; trajectory data; visualization;
Conference_Titel :
Information Reuse and Integration (IRI), 2011 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4577-0964-7
Electronic_ISBN :
978-1-4577-0965-4
DOI :
10.1109/IRI.2011.6009586