DYNAMIC REGISTRATION FOR GIGAPIXEL SERIAL WHOLE SLIDE IMAGES.
DYNAMIC REGISTRATION FOR GIGAPIXEL SERIAL WHOLE SLIDE IMAGES.
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DOI：
10.1109/isbi.2017.7950552
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发表时间：
2017-04
期刊：
影响因子：
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通讯作者：
Kong J
中科院分区：
文献类型：
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作者：
Rossetti BJ;Wang F;Zhang P;Teodoro G;Brat DJ;Kong J
高通量连续组织学成像为三维空间中的显微解剖结构的常规研究提供了新的途径。然而，连续全载玻片成像的出现提出了新的配准挑战，因为千兆像素的图像尺寸排除了传统配准技术的直接应用。在本文中，我们开发了一个三阶段的注册与多分辨率映射和传播方法，动态产生注册的子体积从序列的整个幻灯片图像。我们验证我们的算法与千兆像素图像的连续脑肿瘤切片和合成图像体积。定性和定量的评估结果表明，我们的方法的有效性，并建议其承诺的三维组织学重建分析。
High-throughput serial histology imaging provides a new avenue for the routine study of micro-anatomical structures in a 3D space. However, the emergence of serial whole slide imaging poses a new registration challenge, as the gigapixel image size precludes the direct application of conventional registration techniques. In this paper, we develop a three-stage registration with multi-resolution mapping and propagation method to dynamically produce registered subvolumes from serial whole slide images. We validate our algorithm with gigapixel images of serial brain tumor sections and synthetic image volumes. The qualitative and quantitative assessment results demonstrate the efficacy of our approach and suggest its promise for 3D histology reconstruction analysis.