Data-Driven Biomechanical Simulation of Eye Movement and Strabismus

数据驱动的眼球运动和斜视生物力学模拟

基本信息

批准号：
10404111
负责人：
Qi Wei
金额：
$ 23.61万
依托单位：
GEORGE MASON UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-06-01 至 2024-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10404111
关键词：
3-Dimensional Adult Affect Aging American Anterior Asthenopia Back Basic Science Binocular Vision Disorder Biomechanics Brain Stem Clinical Clinical Data Complex Computer Models Computer Simulation Confusion Connective Tissue Data Diagnosis Diplopia Disease Dose Effectiveness of Interventions Evaluation Eye Eye Abnormalities Eye Movements Foundations Functional disorder Future Individual Intuition Investigation Judgment Knowledge Light Measurement Mechanics Modeling Muscle Neurons Ocular orbit Operative Surgical Procedures Outcome Paralysed Pathology Patients Plants Postoperative Period Published Comment Reporting Research Role Science Strabismus Symptoms Syndrome System Tendon structure Testing Therapeutic Time Torsion Translating Translations Treatment Effectiveness Vision Disorders base biomechanical model cell motility clinical application clinical practice common treatment data-driven model effective therapy effectiveness evaluation experimental study improved improved outcome insight models and simulation nerve supply neuromuscular neuroregulation novel novel strategies oculomotor operation orbit muscle relating to nervous system simulation success superior oblique muscle three-dimensional modeling tool

项目摘要

SUMMARY Strabismus, a common binocular vision disorder that involves neuromuscular abnormality of the eyes, affects 18 million Americans. The disorder causes double vision, binocular confusion, eyestrain, and other symptoms that complicate daily activities. Strabismus is commonly treated surgically based on surgical intuition and tradition, but with reported disappointing success rates ranging from 30% to 80%. We propose to develop a novel data- driven modeling and simulation framework to simulate the neuro-biomechanics of strabismus that can bridge experimental studies and clinical application to advance our understanding and treatment of strabismus. We will develop the first three dimensional biomechanical model of the oculomotor system that incorporates recent findings on extraocular muscle pulleys and muscle compartments. Using clinical data from multiple individual cases as strong tests of the model, we will then develop generalized strategies for diagnosis and novel treatment for common but problematic classes (archetypes) of strabismus that require improved management. The knowledge gained from such systematic investigation can be directly applied clinically to assist future assessment and quantitative surgical dosing of similar patients without simulating every patient. The success of the proposed science-guided strabismus treatment approach could be utilized for other archetypes of strabismus as well as other oculomotor disorders to improve clinical outcomes. We will perform three sets of related analyses. In Aim 1, we will develop a novel computational model of the eyes capable of simulating binocular eye movement in three dimensions and overcoming limitations of existing models. For the first time, latest research findings on the functional compartmentalization of extraocular muscles and the actively-controlled pulley connective tissue gimbal system will be included in the biomechanical model. The developed model will be validated against empirical and clinical data so that it can be used rigorously in clinical simulation. In Aim 2 and Aim 3, we will leverage the model developed in Aim 1 to perform patient-specific strabismus simulation incorporating clinical data. The role of compartmentalization in the pathophysiology of two common types of cyclovertical strabismus, superior oblique palsy and sagging eye syndrome, will be examined. Different surgical interventions on treating these conditions will be simulated on patient-specific orbit models to assess the effectiveness of these surgical procedures. The outcome of this project will be a data-driven realistic neuro-biomechanical eye movement simulator, useful for scientific research, clinical insights, and evaluation of different types of surgical approaches to common forms of strabismus. Such a model can potentially improve our understanding of the functions of extraocular muscle compartmentalization in normal eye movements and in strabismus. It can also provide quantitative assessment of surgical intervention effectiveness and shed light on nonsurgical therapy of strabismus.

概括斜视是一种常见的双眼视觉障碍，涉及眼睛的神经肌肉异常，影响 18 百万美国人。该疾病会导致复视、双眼模糊、眼睛疲劳和其他症状使日常活动变得复杂。斜视通常根据手术直觉和传统进行手术治疗，但据报道，成功率令人失望，从 30% 到 80% 不等。我们建议开发一种新颖的数据- 驱动建模和模拟框架来模拟斜视的神经生物力学，可以桥接实验研究和临床应用促进我们对斜视的理解和治疗。我们将开发第一个动眼系统三维生物力学模型，该模型结合了最新的眼外肌滑轮和肌肉室的发现。使用来自多个个体的临床数据病例作为模型的有力测试，然后我们将制定诊断和新治疗的通用策略针对需要改进管理的常见但有问题的斜视类别（原型）。这从这种系统研究中获得的知识可以直接应用于临床，以帮助未来对类似患者进行评估和定量手术剂量，无需模拟每位患者。的成功拟议的科学引导斜视治疗方法可用于其他斜视原型以及其他动眼神经疾病，以改善临床结果。我们将进行三组相关分析。在目标 1 中，我们将开发一种新颖的计算模型能够在三个维度上模拟双眼眼球运动并克服现有技术的局限性的眼睛模型。首次发布眼外肌功能区划的最新研究成果主动控制的滑轮结缔组织万向节系统将包含在生物力学模型中。开发的模型将根据经验和临床数据进行验证，以便可以严格用于临床模拟。在目标 2 和目标 3 中，我们将利用目标 1 中开发的模型来执行针对患者的结合临床数据的斜视模拟。区室化在两种疾病病理生理学中的作用将检查常见类型的旋转斜视、上斜肌麻痹和眼下垂综合征。将在患者特定的轨道模型上模拟治疗这些疾病的不同手术干预措施，以评估这些外科手术的有效性。该项目的成果将是一个数据驱动的逼真神经生物力学眼动模拟器，非常有用用于科学研究、临床见解以及对常见形式的不同类型手术方法的评估斜视。这样的模型可以潜在地提高我们对眼外肌功能的理解正常眼球运动和斜视的区室化。它还可以提供定量评估手术干预的有效性并为斜视的非手术治疗提供了线索。