Visualizing Hyolaryngeal Mechanics in Swallowing Using Dynamic MRI.

IF 1.3 Q4 ENGINEERING, BIOMEDICAL
William G Pearson, Ann C Zumwalt
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引用次数: 25

Abstract

Introduction: Coordinates of anatomical landmarks are captured using dynamic MRI to explore whether a proposed two-sling mechanism underlies hyolaryngeal elevation in pharyngeal swallowing. A principal components analysis (PCA) is applied to coordinates to determine the covariant function of the proposed mechanism.

Methods: Dynamic MRI (dMRI) data were acquired from eleven healthy subjects during a repeated swallows task. Coordinates mapping the proposed mechanism are collected from each dynamic (frame) of a dynamic MRI swallowing series of a randomly selected subject in order to demonstrate shape changes in a single subject. Coordinates representing minimum and maximum hyolaryngeal elevation of all 11 subjects were also mapped to demonstrate shape changes of the system among all subjects. MophoJ software was used to perform PCA and determine vectors of shape change (eigenvectors) for elements of the two-sling mechanism of hyolaryngeal elevation.

Results: For both single subject and group PCAs, hyolaryngeal elevation accounted for the first principal component of variation. For the single subject PCA, the first principal component accounted for 81.5% of the variance. For the between subjects PCA, the first principal component accounted for 58.5% of the variance. Eigenvectors and shape changes associated with this first principal component are reported.

Discussion: Eigenvectors indicate that two-muscle slings and associated skeletal elements function as components of a covariant mechanism to elevate the hyolaryngeal complex. Morphological analysis is useful to model shape changes in the two-sling mechanism of hyolaryngeal elevation.

Abstract Image

Abstract Image

Abstract Image

用动态MRI观察吞咽时的咽力学。
简介:使用动态MRI捕获解剖标志坐标,以探索是否提出的双悬吊机制是咽吞咽时喉抬高的基础。利用主成分分析(PCA)确定了该机构的协变函数。方法:对11名健康受试者进行重复吞咽实验,获取动态磁共振成像(dMRI)数据。从随机选择的受试者的动态MRI吞咽系列的每个动态(帧)中收集映射所提出机制的坐标,以演示单个受试者的形状变化。还绘制了代表所有11名受试者的最小和最大声部抬高的坐标,以显示所有受试者的系统形状变化。采用MophoJ软件进行主成分分析,确定双吊索机制要素的形状变化向量(特征向量)。结果:对于单个受试者和组pca,喉抬高占变异的第一主成分。对于单主体PCA,第一主成分占方差的81.5%。对于受试者之间的PCA,第一主成分占方差的58.5%。本文报道了与第一主成分相关的特征向量和形状变化。讨论:特征向量表明,双肌吊带和相关的骨骼元素作为协变机制的组成部分,以提升喉复合体。形态学分析有助于模拟双吊索机制下喉部抬高的形状变化。
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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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