基于多视角数据的高分辨率和高对比度的三维宽场荧光显微图像重建方法

High-resolution and high-contrast three-dimensional cerebral vascular network is important for the diagnosis and assessment of cerebral Arterio-Venous Malformation. This project is focus on the study of high-resolution and high-contrast imaging for the three-dimensional cerebral vascular structure by wide-field fluorescence microscopy. Firstly, by studying the multi-view data acquisition method, we could enhance the axial-resolution for wide-field fluorescence microscopy imaging. Secondly, we proposed a morphological feature learning based three-dimensional reconstruction method for wide-field fluorescence microscopy, which could realize a high-resolution and high-contrast reconstruction for multi-view sampling data. Finally, a high-resolution and high-contrast wide-field fluorescence microscopy imaging for three-dimensional cerebral vascular network is established, which provides an in vivo three-dimensional imaging tool for the quantification of cerebral Arterio-Venous Malformation

高分辨率和高对比度的三维脑血管网络的结构图像对于脑动静脉畸形的精确诊断和治疗评估具有重要的意义。本项目围绕脑动静脉畸形诊断需要高分辨率和高对比度的三维脑血管网络图像的问题，通过研究多视角的宽场荧光显微数据采样方法，实现对脑血管网络的多视角的数据采样，提高三维脑血管网络成像的轴向分辨率；通过研究基于形态特征学习先验的三维宽场荧光显微重建方法，实现对多视角采样数据的高分辨率和高对比度的三维图像重建。最终建立可实现三维脑血管网络的高分辨率和高对比度的三维宽场荧光显微成像方法，为精确化的脑动静脉畸形的诊断和治疗提供在体的三维影像学手段。

高分辨率和高对比度的三维脑血管以及脑神经网络成像对于脑疾病的诊断和治疗具有重要的研究意义。本项目围绕两方面的内容开展了研究：（1）高分辨率和高对比度的多视角的三维光学图像重建方法；（2）脑血管疾病以及脑神经网络疾病引起的脑神经退化性疾病。围绕三维光学图像重建方法本项目提出基于形态特征学习约束的高对比度的图像重建方法和基于图模型约束的稀疏角度的图像重建方法。其次围绕本项目在脑血管网络以及脑神经网络疾病的应用，本项目提出了多种计算神经科学方法为神经退化性疾病的发病模式进行了研究与探索提供了工具。