Explorative Imaging and Its Implementation at the FleX-ray Laboratory

Abstract

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.

A novel method for dendrochronology of large historical wooden objects using line trajectory X-ray tomography

“…The scans of two wooden test objects were carried out at the FleX-ray laboratory 51 of the Centrum Wiskunde & Informatica (CWI) in Amsterdam (The Netherlands). This scanner in laboratory setup allows for flexible adjustment of the components and is therefore well suited to investigate new scanning trajectories.…”

Emulation of X-ray Light-Field Cameras

“…Here, we report on experiments that were carried out with the custom-built FleX-ray CT scanner at CWI [ 16 ], which provides automated source and detector positioning. For these experiments, we demonstrate the ability of the proposed scheme to emulate and predict the performance of the conceptual design of Section 2.3 .…”

Real-time segmentation for tomographic imaging

“…To show the feasibility of our method in real-world applications, we applied the real-time segmentation pipeline to a real-world dynamic X-ray CT dataset of a dissolving tablet suspended in gel [27], [28]. A container with a dissolving tablet was filled with gel to create moving air bubbles which we segmented.…”