Title
Semi-Automatic Assessment Of Hyoid Bone Motion In Digital Videofluoroscopic Images
Abstract
The swallowing process involves triggering the movements of a number of muscles in the throat that transports the food from the mouth to the stomach successfully and at the same time prevents it from getting into the airway and the lung. In order to detect abnormalities in the swallowing process, radiologists use a technique called videofluoroscopic swallowing study. It is a video of X-ray images that are taken while the patient swallows food, which is later visually inspected by the radiologist to evaluate the patient's swallowing ability. It has been reported that measuring the movement of the hyoid bone plays an important role in the evaluation process. However, due to the subjective nature of visual inspection, radiologists have difficulty reaching unanimous decision about the outcome of the evaluation. In this research, a semi-automatic method is proposed which tracks the hyoid bone and quantifies its movement. Using a classification-based approach, the proposed method automatically identifies the region of interest before identifying the hyoid bone. This allows limiting image processing procedures to the relevant area in the image. Results show that the proposed method identifies and tracks the hyoid bone with significant accuracy.
Year
DOI
Venue
2014
10.1080/21681163.2013.833859
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION
Keywords
Field
DocType
dysphagia, videofluoroscopic swallowing study, hyoid bone, object detection, Haar classifier, tracking
Swallowing,Anatomy,Hyoid bone,Throat,Difficulty reaching,Dysphagia,Physical medicine and rehabilitation,Airway,Medicine
Journal
Volume
Issue
ISSN
2
1
2168-1163
Citations 
PageRank 
References 
1
0.75
5
Authors
4
Name
Order
Citations
PageRank
Ishtiaque Hossain111.42
Angela Roberts-South211.42
Mandar Jog332.90
Mahmoud R. El-Sakka48114.17