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

机译:交互式视觉探索的重叠相似结构的三维显微镜图像。

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摘要

[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.
机译:[背景]显微镜的最新进展使得能够从活组织中获取大量的断层图像。三维显微镜图像通常通过调整传递函数进行体积渲染显示。但是,由于荧光材料的发射和基于点扩散函数的光学特性会影响成像结果,因此即使在相同的结构中,强度值也会局部不同。此外,从脑组织获得的图像包含各种神经结构,例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,因此很难探索这些组织的连通性。 [结果]本文提出了一种交互式的视觉探索方法,该方法基于图像的多维特征对传递函数进行局部和交互式修改。还提供了直接编辑界面,以指定目标区域和具有特征的结构,其中可以对渲染的图像执行所有手动操作。使用从活小鼠获得的双光子显微镜图像证明了该方法,并且该方法被证明是一种有效的方法,用于对重叠的相似结构进行交互式视觉探索。 [结论]介绍了一种交互式可视化方法,该方法用于通过体积渲染在双光子显微镜图像中局部改善可视化效果,该图像包含线性神经结构以复杂方式交错的区域。所提出的方法的特征在于局部多维传递函数和接口,其中用户可以确定参数以适应其特定的可视化要求。

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