Coban Sophia Bethany, Lucka Felix, Palenstijn Willem Jan, Van Loo Denis, Batenburg Kees Joost
Centrum Wiskunde & Informatica, Science Park 123, 1098 XG Amsterdam, The Netherlands.
Centre for Medical Image Computing, University College London, London WC1E 6BT, UK.
J Imaging. 2020 Apr 2;6(4):18. doi: 10.3390/jimaging6040018.
In tomographic imaging, the traditional process consists of an expert and an operator collecting data, the expert working on the reconstructed slices and drawing conclusions. The quality of reconstructions depends heavily on the quality of the collected data, except that, in the traditional process of imaging, the expert has very little influence over the acquisition parameters, experimental plan or the collected data. It is often the case that the expert has to draw limited conclusions from the reconstructions, or adapt a research question to data available. This method of imaging is static and sequential, and limits the potential of tomography as a research tool. In this paper, we propose a more dynamic process of imaging where experiments are tailored around a sample or the research question; intermediate reconstructions and analysis are available almost instantaneously, and expert has input at any stage of the process (including during acquisition) to improve acquisition or image reconstruction. Through various applications of 2D, 3D and dynamic 3D imaging at the FleX-ray Laboratory, we present the unexpected journey of exploration a research question undergoes, and the surprising benefits it yields.
在断层成像中，传统流程包括由一名专家和一名操作员收集数据，专家对重建切片进行处理并得出结论。重建的质量在很大程度上取决于所收集数据的质量，只是在传统成像流程中，专家对采集参数、实验方案或所收集的数据几乎没有影响力。通常情况下，专家不得不从重建结果中得出有限的结论，或者根据现有数据调整研究问题。这种成像方法是静态且按顺序进行的，限制了断层成像作为一种研究工具的潜力。在本文中，我们提出一种更具动态性的成像流程，即围绕样本或研究问题量身定制实验；几乎能即时获得中间重建结果和分析，并且专家在流程的任何阶段（包括采集期间）都能参与进来，以改进采集或图像重建。通过在FleX射线实验室进行的二维、三维和动态三维成像的各种应用，我们展示了一个研究问题所经历的意想不到的探索历程，以及它所带来的惊人益处。
