With XDesign, materials scientists can choose experimental methods based on phantoms they have created to resemble their actual materials of interest, physicists can optimize data acquisition methods using quantitative quality measures, and mathematicians can test their numerical algorithms on more diverse geometries and flexible input data.įor many reconstruction studies, the simulated phantom of choice is the Shepp–Logan phantom, which is a piecewise constant model of a cross section of a human head, but for a majority of the materials community this phantom does not represent the materials studied.
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1 ) written in Python to help users and developers of synchrotron-based tomography to easily develop, validate and share XCT experimental methods.
#Xdesign tutorial software
In order to bridge the gap between materials scientists, physicists and mathematicians, we have created a modular software toolbox/framework (Fig. However, since no one person is an expert materials scientist, physicist and mathematician, these solutions have not been developed. These problems may still exist, in part, because developing the solution for each requires developing solutions for the other two. However, this may be the cause of three common problems in the synchrotron X-ray computed tomography (XCT) community: (i) the Shepp–Logan phantom (Shepp & Logan, 1974 ) is still used as a standard phantom, but it does not represent the materials of a diverse synchrotron research community, (ii) trying alternative acquisition schemes and experimental setups is difficult, especially for scanning probes, and (iii) researchers are not quantitatively evaluating alternate reconstruction methods. Historically, X-ray imaging techniques have been developed by and for the medical imaging community and then adapted for other uses.