Endoscopic laser-based 3D imaging for clinical real-time analysis of the human larynx

基于内窥镜激光的 3D 成像,用于人体喉部的临床实时分析

基本信息

项目摘要

In technical and economical advanced countries, communication disorders and especially impairment of our vocal expression represent a relevant social and economic disadvantage for both the individual and the society. Until now, in the clinical routine only 2D imaging is used for visual evaluation of the larynx and the vocal folds. However, a profound knowledge of the exact geometry of the larynx, the vocal fold surface and the laryngeal dynamic behavior during phonation would enable conclusions on diverse pathologies like benign and malignant morphological alterations as well as functional disorders. This project is based on the hypothesis, that in the long term, the intended multi-modal based 3D imaging technique will create a considerable added value in the clinical routine of laryngology, since this novel measurement system provides objective and quantitative statements for the following areas: non-invasive screening, support in diagnosis, planning of surgical interventions, control of therapeutic process.In the first phase of the proposal, the central objective is the development of an endoscopic laser-based measurement system, which is suitable for non-invasive real-time analysis of the visible 3D laryngeal surface of the patient. This can only be achieved by close cooperation in an interdisciplinary team of medical doctors, engineers and computer scientists: The Institute of Photonic Technologies headed by Prof. Schmidt provides the hardware-based development of the imaging unit. The Chair of Computer Graphics under the direction of Prof. Stamminger contributes the software-based development of 3D real-time reconstruction. The Division of Phoniatrics and Pedaudiology under Prof. Döllinger provides clinical expertise and experimental validation regarding laser safety and the functionality of all developed hardware and software components. In Phase II, we will conduct an extensive study at the ENT department of the University Hospital in Erlangen and perform 3D recordings on healthy test subjects and pathological cases. Besides the acquisition of fundamental knowledge of the underlying fluid-structure-acoustic interaction of phonation, we will be able to identify relevant 3D parameters, define normative values and classify pathologies in their degrees of severity.
在技术和经济发达的国家,沟通障碍,特别是我们的声音表达的损害代表了一个相关的社会和经济劣势的个人和社会。到目前为止,在临床常规中,只有2D成像用于喉和声带的视觉评价。然而,对喉的确切几何形状、声带表面和发声期间的喉动态行为的深刻了解将使我们能够对各种病理如良性和恶性形态学改变以及功能性疾病得出结论。该项目基于以下假设:从长远来看,预期的多模态3D成像技术将在喉科的临床常规中创造相当大的附加值,因为这种新型测量系统为以下领域提供了客观和定量的陈述:非侵入性筛查,诊断支持,手术干预计划,治疗过程控制。在第一阶段的建议,中心目标是开发一种基于内窥镜激光的测量系统,该系统适合于对患者的可见3D喉部表面进行非侵入性实时分析。这只能通过一个由医生、工程师和计算机科学家组成的跨学科团队的密切合作来实现:由施密特教授领导的光子技术研究所提供成像单元的硬件开发。Stamminger教授指导下的计算机图形学主席致力于基于软件的3D实时重建开发。Döllinger教授领导下的语音学和儿科学部门提供有关激光安全性和所有开发的硬件和软件组件功能的临床专业知识和实验验证。在第二阶段,我们将在埃尔兰根大学医院的耳鼻喉科进行广泛的研究,并对健康测试对象和病理病例进行3D记录。除了获得发声的基础流体-结构-声学相互作用的基础知识外,我们还将能够识别相关的3D参数,定义规范值并按其严重程度对病理进行分类。

项目成果

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Professor Dr.-Ing. Michael Döllinger其他文献

Professor Dr.-Ing. Michael Döllinger的其他文献

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{{ truncateString('Professor Dr.-Ing. Michael Döllinger', 18)}}的其他基金

Chronical electrical stimulation for treatment of aged voice
慢性电刺激治疗老年嗓音
  • 批准号:
    409543779
  • 财政年份:
    2018
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Numerical computation of the human voice source
人声源的数值计算
  • 批准号:
    391215328
  • 财政年份:
    2018
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Biomechanical analysis methods of soft tissue in the larynx
喉部软组织的生物力学分析方法
  • 批准号:
    323404598
  • 财政年份:
    2016
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Induced asymmetries in an excised larynx model: Impact of mucus characteristics on dynamics and acoustics
切除喉模型中引起的不对称:粘液特性对动力学和声学的影响
  • 批准号:
    281313362
  • 财政年份:
    2015
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Kinesthetic and auditory feedback during phonation and articulation
发声和发音过程中的动觉和听觉反馈
  • 批准号:
    230251342
  • 财政年份:
    2012
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Auditory-motor control analysis of voice production in hearing impaired speakers by means of Machine Learning
通过机器学习对听力受损者发声的听觉运动控制进行分析
  • 批准号:
    511281818
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Deep learning networks for quantitative evaluation of organic voice disorders and their treatment
用于定量评估器质性嗓音障碍及其治疗的深度学习网络
  • 批准号:
    468206600
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Objective analysis of functional based hoarseness by clinical high-speed endoscopy
临床高速内镜客观分析功能性声音嘶哑
  • 批准号:
    323308998
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Grants

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