Paper
17 April 2019 Evaluation of swallowing capacity based on esophageal and bolus movements by ultrasound video processing
Yutaka Suzuki, Osamu Sakata, Morimasa Tanimoto, Kyosuke Hatsushika, Keisuke Masuyama, Masayuki Morisawa
Author Affiliations +
Proceedings Volume 11071, Tenth International Conference on Signal Processing Systems; 110710U (2019) https://doi.org/10.1117/12.2516145
Event: Tenth International Conference on Signal Processing Systems, 2018, Singapore, Singapore
Abstract
Thickening agents are commonly used to prevent aspiration, a condition that can prove fatal in the elderly. However, no established indicators exist that show the extent to which sticky food reduces the risk of aspiration. VideoEndoscopy (VE) and VideoFluorography (VF) are the classic inspection methods used for evaluating the function of swallowing, but they are both have limited utility in that they are invasive. In this study, we propose a non-invasive method that exploits esophagus ultrasound videos to estimate the internal flow characteristics of foods, and facilitates quantitative evaluation of the swallowing function. The method combines optical flow with Maximally Stable Extremal Regions (MSER) to extract the movement velocity and position of the esophagus and bolus. The results suggest that movement velocity could be used as an indicator to quantify the internal flow characteristics of foods. The displacement of the esophagus indicates the esophageal opening and could be used as an indicator to evaluate swallowing.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yutaka Suzuki, Osamu Sakata, Morimasa Tanimoto, Kyosuke Hatsushika, Keisuke Masuyama, and Masayuki Morisawa "Evaluation of swallowing capacity based on esophageal and bolus movements by ultrasound video processing", Proc. SPIE 11071, Tenth International Conference on Signal Processing Systems, 110710U (17 April 2019); https://doi.org/10.1117/12.2516145
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Cited by 4 scholarly publications.
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KEYWORDS
Optical flow

Video

Esophagus

Ultrasonography

Video processing

Motion estimation

Cartilage

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