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用于三维显微镜图像的重叠相似结构的交互式视觉探索。

Interactive visual exploration of overlapping similar structures for three-dimensional microscope images.

作者信息

Nakao Megumi, Takemoto Shintaro, Sugiura Tadao, Sawada Kazuaki, Kawakami Ryosuke, Nemoto Tomomi, Matsuda Tetsuya

机构信息

Graduate School of Informatics, Kyoto University, Yoshida Honmachi, Sakyo, Kyoto, Japan.

Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5, Takayama, Ikoma, Nara, Japan.

出版信息

BMC Bioinformatics. 2014 Dec 19;15(1):415. doi: 10.1186/s12859-014-0415-x.

Abstract

BACKGROUND

Recent advances in microscopy enable the acquisition of large numbers of tomographic images from living tissues. Three-dimensional microscope images are often displayed with volume rendering by adjusting the transfer functions. However, because the emissions from fluorescent materials and the optical properties based on point spread functions affect the imaging results, the intensity value can differ locally, even in the same structure. Further, images obtained from brain tissues contain a variety of neural structures such as dendrites and axons with complex crossings and overlapping linear structures. In these cases, the transfer functions previously used fail to optimize image generation, making it difficult to explore the connectivity of these tissues.

RESULTS

This paper proposes an interactive visual exploration method by which the transfer functions are modified locally and interactively based on multidimensional features in the images. A direct editing interface is also provided to specify both the target region and structures with characteristic features, where all manual operations can be performed on the rendered image. This method is demonstrated using two-photon microscope images acquired from living mice, and is shown to be an effective method for interactive visual exploration of overlapping similar structures.

CONCLUSIONS

An interactive visualization method was introduced for local improvement of visualization by volume rendering in two-photon microscope images containing regions in which linear nerve structures crisscross in a complex manner. The proposed method is characterized by the localized multidimensional transfer function and interface where the parameters can be determined by the user to suit their particular visualization requirements.

摘要

背景

显微镜技术的最新进展使得能够从活组织中获取大量断层图像。三维显微镜图像通常通过调整传递函数进行体绘制显示。然而,由于荧光材料的发射以及基于点扩散函数的光学特性会影响成像结果,即使在相同结构中,强度值也可能局部不同。此外,从脑组织获得的图像包含各种神经结构,如具有复杂交叉和重叠线性结构的树突和轴突。在这些情况下,以前使用的传递函数无法优化图像生成,从而难以探索这些组织的连通性。

结果

本文提出了一种交互式视觉探索方法,通过该方法可以基于图像中的多维特征对传递函数进行局部和交互式修改。还提供了一个直接编辑界面,用于指定目标区域和具有特征的结构,所有手动操作都可以在渲染图像上执行。使用从活小鼠获取的双光子显微镜图像对该方法进行了演示,结果表明它是一种用于交互式视觉探索重叠相似结构的有效方法。

结论

针对包含线性神经结构以复杂方式交叉的区域的双光子显微镜图像,引入了一种交互式可视化方法,用于通过体绘制对可视化进行局部改进。所提出的方法的特点是局部多维传递函数和界面,用户可以根据其特定的可视化要求确定参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/4279998/a44365969f3e/12859_2014_415_Fig1_HTML.jpg

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