数字化眼眶及其内容物三维模型的建立和应用研究

Orbit consists of orbital bone and orbital contents. Orbital disease, caused by inflammation, tumor, trauma and other systemic disease, can lead to visual dysfunction and appearance deformity, even blindness. Surgery is the main treatment method, and the key to the success of the surgery is to clarify the relationship between the orbital tissue structures. Three dimensional reconstruction based on the orbital CT data cannot extract and segment the orbital tissues, such as eyeball, muscle and nerve, accurately and efficiently, which limited clinical application. Therefore, based on the previous research, this project will accurately extract and reconstruct the image of the orbital tissue structures and establish the digital orbital and its content three dimensional model by using multimodality image fusion technology. In this model, the standard measurement method of joint anatomical parameters and the probability distribution model of orbital bone and soft tissue were set up by using space measurement, image resampling and voxel superposition technique to explore the variation of the structures and to study the changes and interactions of orbital tissues under physiological and pathological conditions. The results of this study is expected to provide important theoretical basis and data support for the evaluation of orbital disease, surgical planning and prognosis which will improve the diagnosis and treatment of orbital diseases in China.

眼眶由眼眶骨和眶内容物组成。炎症、肿瘤、外伤和其他全身疾病均可引起眼眶病，导致视功能障碍和外观畸形，严重者可致失明。手术是主要的治疗方法，而明确眼眶组织结构的位置关系是手术成功的关键。既往基于眼眶CT数据的三维重建方法无法精准高效地分割和提取眼球、肌肉和神经等重要的眶内组织，难以直观、准确、定量地显示和测量眼眶及其内容物，临床应用受限。因此，本项目拟在前期系列研究的基础上，基于多模态图像融合技术，准确提取眼眶各组织结构图像并实现三维重建，构建数字化眼眶及其内容物三维模型。在此模型上，应用空间测量、图像重采样和体素叠加技术，制定标准化联合解剖参数测量方法，建立眼眶骨和眶内软组织空间分布的概率模型，探索各结构的变异情况；结合眼眶病，研究生理和病理状态下眼眶各组织结构的变化和相互作用。预期研究结果将为眼眶病病情评估、手术方案制定、预后分析提供重要的理论依据和数据支持，提高我国眼眶病的诊治水平。

眼眶由眼眶骨和眶内容物组成。炎症、肿瘤、外伤和其他全身疾病均可引起眼眶病，导致视功能障碍和外观畸形，严重者可致失明。手术是主要的治疗方法，而明确眼眶组织结构的位置关系是手术成功的关键。既往基于眼眶CT数据的三维重建方法无法精准高效地分割和提取眼球、肌肉和神经等重要的眶内组织，难以直观、准确、定量地显示和测量眼眶及其内容物，临床应用受限。因此，本项目在前期系列研究的基础上，基于多模态图像融合技术，准确提取眼眶各组织结构图像并实现三维重建，构建数字化眼眶及其内容物三维模型。在此模型上，应用ICP配准技术、图像重采样和体素叠加技术，制定标准化联合解剖参数测量方法，建立眼眶骨和眶内软组织空间分布的概率模型，阐明眼眶结构的变异情况和软硬组织间的作用关系；将研究成果应用于甲状腺相关眼病，测量和分析影像学数据，发现了影像学表现和临床表现的相关性和预测价值，为眼眶病病情评估、手术方案制定、预后分析提供重要的理论依据和数据支持，提高我国眼眶病的诊治水平。