显微镜
曲面重建
可视化
材料科学
共焦显微镜
三维重建
强度(物理)
生物医学工程
迭代重建
光学
分辨率(逻辑)
压扁
脑组织
共焦
人工智能
计算机科学
曲面(拓扑)
物理
数学
几何学
医学
复合材料
作者
Haoyi Liang,Natalia Dabrowska,Jaideep Kapur,Daniel S. Weller
出处
期刊:IEEE Transactions on Medical Imaging
[Institute of Electrical and Electronics Engineers]
日期:2018-10-30
卷期号:38 (5): 1106-1115
被引量:3
标识
DOI:10.1109/tmi.2018.2878488
摘要
Microscopy is widely used for brain research because of its high resolution and ability to stain for many different biomarkers. Since whole brains are usually sectioned for tissue staining and imaging, reconstruction of 3D brain volumes from these sections is important for visualization and analysis. Recently developed tissue clearing techniques and advanced confocal microscopy enable multilayer sections to be imaged without compromising the resolution. However, noticeable structure inconsistence occurs if surface layers are used to align these sections. In this paper, a structure-based intensity propagation method is designed for the robust representation of multilayer sections. The 3D structures in reconstructed brains are more consistent using the proposed methods. Experiments are conducted on 367 multilayer sections from 20 mouse brains. The average reconstruction quality measured by the structure consistence index increases by 45% with the tissue flattening method and 29% further with the structure-based intensity propagation.
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