材料科学
光学
视野
分辨率(逻辑)
卷积神经网络
图像分辨率
像素
临床前影像学
生物医学工程
计算机科学
人工智能
物理
体内
医学
生物
生物技术
作者
Zhichao Yang,Sitong Wu,Xun Zhang,M Chao,Gungun Lin,Zhiyong Guo,Dayong Jin
标识
DOI:10.1016/j.fmre.2024.07.001
摘要
Taking advantages of weak light scattering and minimal amount of auto-fluorescence background, optical imaging through the second near-infrared window (NIR-II,1000–1700nm) allows resolving the microscopic structures in deep tissues. However, current 2D wide-field imaging systems cannot provide the axial resolution to reveal depth information and the lateral resolution thereof has been limited by the pixel numbers of NIR-II cameras. We aim to improve 3D in vivo imaging at a large field of view (FOV) to achieve high-resolution 3D imaging of bone and vessel simultaneously. We developed a 3D NIR-II imaging technique utilizing iterative convolutional sub-pixel image reconstruction (ICSP-IR) and convolutional neural networks (CNN) in a binocular system. The instrumentation and CNN powered data analytics enable 3D in vivo volumetric imaging with a lateral resolution of 153 μm and an axial resolution of 480 μm at a FOV of 42.5 x 53 x 14 mm3. High-resolution 3D imaging of both tibia structures and vessel networks can be simultaneously achieved by the 808-nm and 980-nm dual-beam excitations of NIR-Ⅱa type nanoparticles that emit at 1060 nm and NIR-Ⅱb type nanoparticles that emit at 1530 nm, respectively.
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