Authors:
Ishtiaque Hossain
;
Angela Roberts-South
;
Mandar Jog
and
Mahmoud R. El-Sakka
Affiliation:
Western University, Canada
Keyword(s):
Dysphagia, Swallowing Disorder, Videofluoroscopic Swallowing Study, Hyoid Bone, Object Detection, Haar
Classifier, Tracking, Template Matching, Kinesiologic Analysis
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Medical Image Applications
Abstract:
The Videofluoroscopic Swallowing Study is a technique commonly used by radiologists to detect abnormalities
in the swallowing process. While the subject swallows the food, X-ray images are taken and then compiled
in a video form. The video is later analyzed by the radiologist using visual means. Since the nature of the
inspection is highly subjective, the result of the inspection can barely be reliable. One of the assessed measures
is the elevation of the hyoid bone during the swallow. This research introduces a semi-automatic method
which identifies the hyoid bone in fluoroscopic videos and quantifies its motion. Before identifying the hyoid
bone, the region-of-interest is automatically identified using a classification-based approach and subsequent
image processing procedures are applied to the identified region-of-interest. Results show that the proposed
method can accurately quantify the motion of the hyoid bone.