Flow Visualization in the Canine Larynx During Phonation

发声期间犬喉部的血流可视化

• 批准号: 6946875
• 负责人: Siddarth Mitter Khosla
• 金额: $ 17.47万
• 依托单位: UNIVERSITY OF CINCINNATI
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-15 至 2007-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6946875
• 关键词: computer simulation; dogs; epiglottis; fluid flow; heterodyning; laryngeal nerves; laryngectomy; larynx; larynx disorder; model design /development; phonology; respiratory airflow measurement; respiratory airway clearance; respiratory imaging /visualization; sound; trachea; vibration; vocal cords; voice

DESCRIPTION (provided by applicant): The primary purpose of this grant is to train the candidate to be able to independently derive computational and theoretical models of laryngeal diseases, to verify these models by experiments in animals, and to use the results of theoretical and animal models to design new medical and surgical therapies for diseases of the larynx. Coursework in fluid mechanics, computational flow dynamics, vibrations, and acoustics will give the candidate the necessary knowledge to derive new theoretical models for laryngeal diseases. In addition the candidate will develop his own computational model of airflow in the canine larynx during phonation. The coursework will be supplemented by tutorials in speech science given by the candidate?s mentor, Dr. Ron Scherer. Experience in verifying theory in animal experiments will be obtained in the research part of this proposal. For his research, the candidate will use the flow visualization method he has already developed to determine the patterns of airflow in the larynx during phonation. The pattern of airflow in the larynx is important because flow produces forces that drive vocal fold (cord) vibrations, and certain airflow patterns may also produce sound by mechanisms other than vocal fold vibration. Current computational and theoretical models make assumptions about the flow patterns that have not yet been experimentally verified. The investigator will use flow visualization and the particle image velocimetry method to determine whether flow separation occurs in the glottis, whether vortices occur above the glottis, and whether the flow directly above the glottis is laminar. The candidate will then compare his experimental findings with current theoretical and computational models and with his computational model. Training in recognizing clinical applications of the work will be fostered by consultations with two prominent laryngologists, Dr. Gerald Berke and Dr. Randal Paniello.

描述(申请人提供)：这项资助的主要目的是 培训应聘者能够独立计算和计算 喉部疾病的理论模型，通过实验验证这些模型 在动物身上，并利用理论和动物模型的结果设计 喉部疾病的新内科和外科疗法。中的课程作业 流体力学、计算流动动力学、振动和声学将 为应聘者提供必要的知识，以推导出新的理论模型 喉部疾病。此外，候选人将开发他自己的计算能力 犬喉发声时的气流模型。课程作业将是 辅以候选人S教授的语音科学教程。 罗恩·谢勒。在动物实验中验证理论的经验将是 在研究部分得出了这一建议。在他的研究中，候选人 将使用他已经开发的流动可视化方法来确定 发声时喉部的气流模式。室内的气流模式 喉部很重要，因为气流会产生推动声带的力量 (绳索)振动和某些气流模式也可能通过 声带振动以外的其他机制。当前正在计算的和 理论模型对流动模式进行了假设，但目前还没有 得到了实验验证。调查员将使用流动可视化和 用粒子图像测速法确定是否有流分离 是否发生在声门，旋涡是否出现在声门上方，以及 声门正上方的血流是层状的。然后，候选人将比较他的 当前理论和计算模型的实验结果以及 他的计算模型。培训以认识其临床应用。 这项工作将通过与两位著名的喉科医生进行磋商来促进。 杰拉尔德·伯克和兰德尔·帕尼洛博士。