The development and characterization of biomimetic phantom Objective

目的1。在胶质瘤手术切除过程中，近年来快速发展的一种光学成像技术——多光谱成像（MSI）可以提高肿瘤的全切除率。为了评估MSI系统检测荧光的能力，已经创建了模拟组织的光学幻象。光学幻影已被用于模拟一些复杂的结构，但在模拟大脑等结构方面仍有局限性。在这项研究中，将创建模拟大脑灰质、白质、胶质瘤和25种不同脑组织的凝胶蜡基荧光幻影。在SIE开发的一种新的MSI系统将用于检测幻影的荧光。基于MSI系统的结果，这些光学幻影将被评估为测试MSI系统的标准。目标2。光场成像（LFI）采用微透镜阵列在单个快照中捕获光线的平面和角度信息，可以对其进行后处理，从而产生场景的3D重建。与其他3D成像系统相比，光场成像的优点是能够在捕获图像后重新聚焦并获得深度信息。在本项目中，将开发术中LFI系统，为外科医生提供手术场景的3D视图，并重建肿瘤轮廓（包括位置，边缘和深度）。在该项目中，将使用软件进行射线光学模拟，以优化主透镜、中继透镜和微透镜阵列的配置。微透镜阵列的间距大小和f值将被优化，以达到神经外科指导所需的深度和横向分辨率。采用基于极板图像的方法，对单色光照下获得的光场数据进行处理以估计深度信息。

Objective 1.The development and characterization of biomimetic phantomThe rapid development of an optical imaging technique called multispectral imaging(MSI) in recent years could improve the total tumor resection during glioma surgical resection. To evaluate the ability of the MSI system to detect fluorescence, optical phantoms that mimic tissues have been created. Optical phantoms have been used to mimic some complex structures, but still have limitations in mimicking structures such as the brain. In this study, gel wax-based fluorescent phantoms that simulate brain gray matter, white matter, glioma, and 25 different brain tissues will be created. A novel MSI system developed in SIE will be used to detect the fluorescence of phantoms. Based the result from MSI system, these optical phantoms will be evaluated to be the standard for testing the MSI system.Objective 2.Developing a light field optical imaging system for surgical guidanceLight-field imaging(LFI) employs a microlens array to capture both planar and angular information of light rays in a single snapshot, which can be post-processed to produce a 3D reconstruction of the scene. Compared to other 3D imaging systems, the advantage of light field imaging is the ability to refocus after the image captured and to obtain depth information. In this project,an intraoperative LFI system will be developed to provide surgeons with a 3D view of the surgical scene, and to reconstruct the tumour profile (including location, margins and depth). In the project, ray optics simulations will be carried out by using software to optimise the configuration of main lenses, relay lenses, and microlens array. The pitch size and f-number of the microlens array will be optimised in particular to achieve the desired depth and lateral resolution for neurosurgical guidance. Using an epipolar-plate-image-based approach, light field data acquired with monochromatic illumination will be processed to estimate depth information.