An intelligent quantitative analysis software for videofluoroscopic swallowing study in patients with dysphagia.

ABSTRACT:

Background

Videofluoroscopic swallowing study (VFSS) employs quantitative analysis methods, which are valued in dysphagia diagnosis for their objectivity and precision. Nonetheless, conventional methods are laborious and time-consuming. Despite advancements in automatic tracking methods, existing software still requires substantial manual intervention and offers a restricted set of quantitative metrics. This study aimed to develop an intelligent VFSS quantitative analysis tool that assists clinicians in dysphagia diagnosis by enabling automated tracking and providing a comprehensive set of three kinematic and seven temporal parameters.

Methods

This software utilizes a feature-based target tracking and contour extraction algorithm, which enables accurate and automated detecti

SUBMITTER: Wu M 

PROVIDER: S-EPMC12682499 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature