Department of Computer Science, University College London, Gower Street, London WC1E 6BT, UK.
Opt Lett. 2010 Mar 1;35(5):763-5. doi: 10.1364/OL.35.000763.
We present a method for fast reconstruction in fluorescence optical tomography with very large data sets. In recent reports, CCD cameras at multiple positions have been used to collect optical measurements, producing more than 10(7) data samples. This makes storage of the full system Jacobian infeasible, and so data are usually subsampled. The method reported here allows use of the full data set, via image compression methods, and explicit construction of the (small) Jacobian, meaning optimal inversion methods can be applied, and thus leading to very fast reconstruction.
我们提出了一种用于快速重建的方法在荧光光学层析成像中具有非常大的数据集。在最近的报告中，使用多个位置的 CCD 相机来收集光学测量值，产生了超过 10(7)个数据样本。这使得存储完整系统 Jacobian 变得不可行，因此通常对数据进行抽样。这里报告的方法允许通过图像压缩方法使用完整数据集，并显式构建（小）Jacobian，这意味着可以应用最佳的反演方法，从而导致非常快速的重建。
