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图像处理辅助光学投影层析算法。

Image processing assisted algorithms for optical projection tomography.

机构信息

Umeå Centre for Molecular Medicine, Umeå University, S-901 87 Umeå, Sweden.

出版信息

IEEE Trans Med Imaging. 2012 Jan;31(1):1-15. doi: 10.1109/TMI.2011.2161590. Epub 2011 Jul 14.

DOI:10.1109/TMI.2011.2161590
PMID:21768046
Abstract

Since it was first presented in 2002, optical projection tomography (OPT) has emerged as a powerful tool for the study of biomedical specimen on the mm to cm scale. In this paper, we present computational tools to further improve OPT image acquisition and tomographic reconstruction. More specifically, these methods provide: semi-automatic and precise positioning of a sample at the axis of rotation and a fast and robust algorithm for determination of postalignment values throughout the specimen as compared to existing methods. These tools are easily integrated for use with current commercial OPT scanners and should also be possible to implement in "home made" or experimental setups for OPT imaging. They generally contribute to increase acquisition speed and quality of OPT data and thereby significantly simplify and improve a number of three-dimensional and quantitative OPT based assessments.

摘要

自 2002 年首次提出以来,光学投影断层成像(OPT)已成为研究毫米到厘米尺度生物医学样本的有力工具。在本文中,我们提出了计算工具来进一步改进 OPT 图像采集和层析重建。更具体地说,与现有方法相比,这些方法提供了:在旋转轴上半自动且精确地定位样本的位置,以及快速且稳健的算法,用于确定整个样本的对准值。这些工具可以轻松集成到当前的商用 OPT 扫描仪中使用,并且也有可能在 OPT 成像的“自制”或实验设置中实现。它们通常有助于提高 OPT 数据的采集速度和质量,从而显著简化和改进许多基于三维和定量 OPT 的评估。

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