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首页> 外文会议>Conference on Medical Imaging 2008: Imaging Processing; 20080217-19; San Diego,CA(US) >Mosaicing of Single Plane Illumination Microscopy Images Using Groupwise Registration and Fast Content-Based Image Fusion
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Mosaicing of Single Plane Illumination Microscopy Images Using Groupwise Registration and Fast Content-Based Image Fusion

机译：使用成组配准和基于内容的快速图像融合对单平面照明显微图像进行镶嵌术

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摘要

Single Plane Illumination Microscopy (SPIM; Huisken et al, Nature 305(5686): 1007-1009, 2004) is an emerging microscopic technique that enables live imaging of large biological specimens in their entirety. By imaging the living biological sample from multiple angles SPIM has the potential to achieve isotropic resolution throughout even relatively large biological specimens. For every angle, however, only a relatively shallow section of the specimen is imaged with high resolution, whereas deeper regions appear increasingly blurred. In order to produce a single, uniformly high resolution image, we propose here an image mosaicing algorithm that combines state of the art groupwise image registration for alignment with content-based image fusion to prevent degrading of the fused image due to regional blurring of the input images. For the registration stage, we introduce an application-specific groupwise transformation model that incorporates per-image as well as groupwise transformation parameters. We also propose a new fusion algorithm based on Gaussian filters, which is substantially faster than fusion based on local image entropy. We demonstrate the performance of our mosaicing method on data acquired from living embryos of the fruit fly, Drosophila, using four and eight angle acquisitions.
机译：单平面照明显微镜（SPIM； Huisken等人，Nature 305（5686）：1007-1009，2004）是一种新兴的显微镜技术，其能够对大型生物样本进行整体实时成像。通过从多个角度对活体生物样本进行成像，SPIM甚至可以在相对较大的生物样本中实现各向同性分辨率。但是，对于每个角度，只有相对较浅的部分以高分辨率成像，而较深的区域显得越来越模糊。为了产生单一的，一致的高分辨率图像，我们在此提出一种图像拼接算法，该算法将最先进的逐组图像配准与基于内容的图像融合相结合，以防止由于输入的区域模糊而导致融合图像降级图片。在注册阶段，我们引入了特定于应用程序的逐组转换模型，该模型结合了每个图像以及逐组转换参数。我们还提出了一种基于高斯滤波器的新融合算法，该算法比基于局部图像熵的融合要快得多。我们使用四个和八个角度采集数据，从从果蝇果蝇的活胚中采集的数据证明了我们的镶嵌方法的性能。

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