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基于实验数据压缩的多角度荧光光学层析成像重建。

Multiple-view fluorescence optical tomography reconstruction using compression of experimental data.

机构信息

Instituto di Fotonica e Nanotecnologie (IFN-CNR)-Dipartimento di Fisica, Politecnico di Milano, Piazza Leonardo da Vinci 32, I-20133 Milan, Italy.

出版信息

Opt Lett. 2011 Apr 15;36(8):1377-9. doi: 10.1364/OL.36.001377.

Abstract

We report on the experimental demonstration of a fast reconstruction method for multiview fluorescence diffuse optical tomography by using a wavelet-based data compression. We experimentally demonstrate that the use of data compression combined with the multiview approach makes it possible to perform a fast reconstruction of high quality. A structured illumination approach, guided by the compression scheme, has been adopted to further reduce the acquisition time. The reconstruction algorithm is based on the finite element method, and hence is suitable for samples of any arbitrary shape.

摘要

我们报告了一种基于小波的数据压缩的多视角荧光漫射光学断层成像快速重建方法的实验验证。实验表明,数据压缩与多视角方法的结合使得高质量快速重建成为可能。采用基于压缩方案的结构照明方法进一步缩短了采集时间。重建算法基于有限元方法,因此适用于任何形状的样本。

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