在吞咽力学的患者特异性计算分析中,呼吸-吞咽阶段训练所产生的改善。

IF 1.3 Q4 ENGINEERING, BIOMEDICAL
Thi Tu Anh Tran, Bonnie Martin Harris, William G Pearson
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引用次数: 17

摘要

本研究的目的是通过对改良钡吞咽(MBS)视频透视图像的患者特异性计算分析,可视化呼吸-吞咽阶段训练所带来的吞咽力学改善。来自单个受试者的成像显示,18只治疗前和治疗后的燕子中有17只MBSImP™©评分得到改善。利用半自动化的MATLAB跟踪工具,对口咽吞咽过程中10个映射肌肉功能群的坐标进行逐帧注释。利用MorphoJ软件对坐标形状变化进行计算分析,确定与多个自变量相关的吞咽力学差异。典型变异分析表明,与呼吸-吞咽阶段训练相关的力学有显著差异(D=1.92,pp
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Improvements resulting from respiratory-swallow phase training visualized in patient-specific computational analysis of swallowing mechanics.

Improvements resulting from respiratory-swallow phase training visualized in patient-specific computational analysis of swallowing mechanics.

Improvements resulting from respiratory-swallow phase training visualized in patient-specific computational analysis of swallowing mechanics.

Improvements resulting from respiratory-swallow phase training visualized in patient-specific computational analysis of swallowing mechanics.

The aim of this study was to visualize improved swallowing mechanics resulting from respiratory-swallow phase training using patient specific computational analysis of Modified Barium Swallow (MBS) videofluoroscopic images. Imaging from a single subject showing improved MBSImP© scores in 17 of 18 pre- to post-treatment swallows was selected for analysis. Using a semi-automated MATLAB tracker tool, a frame-by-frame annotation of 10 coordinates mapping muscle functional groups was performed during oropharyngeal swallowing. Computational analysis of coordinate shape change was executed using MorphoJ software to determine differences in swallowing mechanics associated with multiple independent variables. Canonical variant analysis indicated significant differences in mechanics associated with respiratory-swallow phase training (D=1.92,p<.0001). Vectors allowed for visualization of changes in swallowing mechanics associated with respiratory-swallow phase training. A regression of shape associated with laryngeal vestibular closure on respiratory-swallow phase training was highly significant (p<.0001) and accounted for 94.1% of the variance.

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来源期刊
CiteScore
2.80
自引率
6.20%
发文量
102
期刊介绍: Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization is an international journal whose main goals are to promote solutions of excellence for both imaging and visualization of biomedical data, and establish links among researchers, clinicians, the medical technology sector and end-users. The journal provides a comprehensive forum for discussion of the current state-of-the-art in the scientific fields related to imaging and visualization, including, but not limited to: Applications of Imaging and Visualization Computational Bio- imaging and Visualization Computer Aided Diagnosis, Surgery, Therapy and Treatment Data Processing and Analysis Devices for Imaging and Visualization Grid and High Performance Computing for Imaging and Visualization Human Perception in Imaging and Visualization Image Processing and Analysis Image-based Geometric Modelling Imaging and Visualization in Biomechanics Imaging and Visualization in Biomedical Engineering Medical Clinics Medical Imaging and Visualization Multi-modal Imaging and Visualization Multiscale Imaging and Visualization Scientific Visualization Software Development for Imaging and Visualization Telemedicine Systems and Applications Virtual Reality Visual Data Mining and Knowledge Discovery.
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