LEAPS-MPS: Computational Modeling of the Interaction between the Eye and a Contact Lens

LEAPS-MPS：眼睛和隐形眼镜之间相互作用的计算模型

• 批准号: 2316951
• 负责人: Lucia Carichino
• 金额: $ 24.87万
• 依托单位: Rochester Institute of Tech
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2316951&HistoricalAwards=false
• 关键词: LEAPS; MPS; Computational; Modeling; Interaction

The project will develop a computational framework to improve contact lens fitting and comfort. Since the 1970s, soft contact lenses have been worn by millions of people worldwide to correct vision impairment. More recently, stiff contact lenses have been used as devices to reshape the ocular surface and correct vision disorders such as myopia (nearsightedness) in children and keratoconus (characterized by a cone-shaped cornea). The lens-to-eye fitting is crucial for proper vision corrections and to reduce the risk of ocular surface damages or infections. Despite the importance of understanding the interactions between the ocular surface and a contact lens to improve lens-to-eye fitting, to date, the mechanisms affecting such interactions remain unknown due to limitations in the clinical instrumentation. This project will develop a mathematical and computational framework, based on the laws of physics, to study the interactions between the eye and a contact lens, and to predict the ocular reshaping due to contact lens wear. The model’s predictions will help contact lens manufacturers to theoretically predict the fitting, and consequently the performance of a lens design, without having to manufacture the lens and then test the lens in an expensive clinical trial. The project will provide training opportunities for students in model development, in computation, as well as in biomechanics of the eye. The project activities will support the representation and retention of students from underrepresented groups in Mathematical and Physical Sciences by collaborating with the Rochester Institute of Technology’s Inclusive Excellence initiative and National Technical Institute for the Deaf. Mathematical and computational models of the coupled dynamics between the eye and a contact lens will be developed. The cornea, the clear front surface of the eye, is made of five layers that respond differently to the stresses induced by soft and stiff contact lenses. The model will account for the heterogenous viscoelastic response of the cornea and for the porosity of the different layers by tracking the fluid movement inside each layer. The predictions of ocular reshaping and the suction pressure under the contact lens will be emergent properties of the coupled problem and not imposed a priori. The project will develop computational algorithms to treat the nonlinearities coming from the poro-viscoelastic description of the ocular tissue and the coupling between the eye and the contact lens. The model will predict ocular tissue deformation and the ocular stresses while loading and unloading the lens on and from the eye, for soft and stiff lenses worn on different shaped eyes. This project will provide new insights into the mechanisms driving the interaction between the contact lenses and the eye, especially in orthokeratology applications to treat childhood myopia and in eyes with keratoconus.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目将开发一个计算框架，以改善隐形眼镜拟合和舒适性。自1970年代以来，全世界数百万人都佩戴了软接触镜头，以纠正视力障碍。最近，刚性隐形眼镜已被用作重塑眼表面和正确视力障碍的设备，例如儿童和角膜结构（以锥形角膜为特征）中的近视（近视）。镜头到眼睛的拟合对于适当的视力校正至关重要，并降低眼表面损害或感染的风险。尽管重要的是要了解眼表面与隐形眼镜之间的相互作用以改善镜头对距离拟合，但迄今为止，由于临床仪器的局限性，影响此类相互作用的机制尚不清楚。该项目将根据物理定律开发数学和计算框架，以研究眼睛和隐形眼镜之间的相互作用，并预测由于隐形眼镜磨损而导致的眼部重塑。该模型的预测将有助于与镜头制造商的理论预测，因此可以预测镜头设计的拟合，而无需制造镜头，然后在昂贵的临床试验中测试镜头。该项目将为学生在计算中以及眼睛的生物力学方面为学生提供培训机会。该项目活动将通过与罗切斯特理工学院的卓越卓越倡议和国家聋人技术研究所合作，支持数学和物理科学中代表性不足小组的学生的代表和保留。将开发眼睛和隐形眼镜之间耦合动力学的数学和计算模型。角膜是眼睛的透明前表面，由五层制成，对柔软和僵硬的隐形眼镜引起的应力有所不同。该模型将通过跟踪每一层内部的流体运动来解释角膜的异质粘弹性响应和不同层的孔隙率。眼镜镜头下的眼部重塑和吸力压力的预测将是耦合问题的紧急特性，而不是先验地提出的。该项目将开发计算算法，以治疗来自眼组织的孔隙 - 玻璃弹性描述以及眼睛和隐形眼镜之间的耦合的非线性。该模型将在加载和从眼睛上卸载透镜时预测眼组织变形和眼应力，以使其在不同形的眼睛上佩戴的柔软和僵硬的镜头。该项目将提供有关推动隐形眼镜与眼睛之间相互作用的机制的新见解，尤其是在治疗童年近视和角膜核心的正务病理学应用中。该奖项反映了NSF的法定任务，并被认为是通过使用该基金会的知识分子和宽广的影响来评估CRITERIA CRITERIA CRITERIA的评估来通过评估而被视为珍贵的。