具有可变会厌角的患者特异性咽部模型的流体动力学流动和吸入机制的数据。

IF 1 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2025-02-01 DOI:10.1016/j.dib.2024.111204
Amr Seifelnasr , Chen Sun , Peng Ding , Xiuhua April Si , Jinxiang Xi
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引用次数: 0

摘要

该数据集包括视频和图像的综合集合,说明了具有不同会厌角度的患者特定咽部模型中吞咽和吸入的流体动力学。数据还包括所用流体的物理性质,包括动态粘度、表面张力和接触角。收集不同吞咽条件下的录像,以研究误吸的机制。该研究利用了一个生物力学吞咽模型,该模型使用了解剖学上准确的咽部结构的透明模型。荧光染料用于从侧面和背面观察液体流动动力学。该数据集包括两种液体,水和1% w/v甲基纤维素水溶液的视频,在四个会厌角(30°向上倾斜,0°水平,45°向下倾斜和80°向下倾斜)的两种分配速度(快和慢)和两个分配位置(前和后)下进行评估。此外,该数据集还包括咽喉模型设置的照片,所使用的会厌模型的照片,以及咽喉模型和会厌3D模型的STL文件。视频记录了实验中发现的独特的血流模式和频繁的吸入部位,包括腱间切迹、楔形结核隐窝和小静脉。这些数据对于旨在了解吞咽困难病因的研究人员来说是有价值的,可以重复使用来验证计算模型,指导未来的实验设计,并为临床诊断和治疗策略提供信息。数据集被组织到文件夹基于会厌的角度,分配速度,和位置,以及液体类型。该组织为生物医学工程、临床研究和计算生物学的研究人员提供了方便的访问和分析。这些数据为进一步研究吞咽机制和发展基于病因的吞咽困难管理干预措施提供了丰富的资源。
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Data on hydrodynamic flow and aspiration mechanisms in a patient-specific pharyngolaryngeal model with variable epiglottis angles
This dataset comprises a comprehensive collection of videos and images illustrating the fluid dynamics of swallowing and aspiration in a patient-specific pharyngolaryngeal model with varying epiglottis angles. The data also includes the physical properties of the fluids used, comprising dynamic viscosity, surface tension, and contact angle. Videos under varying swallowing conditions were collected to investigate the mechanisms underlying aspiration. The study utilized a biomechanical swallowing model developed using transparent casts of an anatomically accurate pharyngolaryngeal structure. Fluorescent dye was used to visualize the liquid flow dynamics from both side and back views. The dataset includes videos for two types of liquids, water and a 1% w/v methylcellulose aqueous solution, evaluated under two dispensing speeds (fast and slow) and two dispensing locations (anterior and posterior) across four epiglottis angles (30° up-tilt, 0° horizontal, 45° down-tilt, and 80° down-tilt). Additionally, the dataset includes photos of the pharyngolaryngeal model setup, photos of the epiglottis models used, and STL files for both the pharyngolaryngeal model and the epiglottis 3D models.
The videos document the distinct flow patterns and frequent aspiration sites identified during the experiments, including the interarytenoid notch, the cuneiform tubercular recess, and the vallecula. These data are valuable for researchers aiming to understand the etiology of dysphagia and can be reused to validate computational models, guide future experimental designs, and inform clinical diagnostics and treatment strategies. The dataset is organized into folders based on the epiglottis angles, dispensing speeds, and locations, as well as liquid types. This organization facilitates easy access and analysis for researchers in biomedical engineering, clinical research, and computational biology. The data provide a rich resource for further investigation into swallowing mechanics and the development of etiology-based interventions for dysphagia management.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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