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This work introduces methods for analyzing the three imaging modalities delivered by Talbot-Lau grating interferometry X-ray computed tomography (TLGI-XCT). The first problem we address is providing a quick way to show a fusion of all three modalities. For this purpose the tri-modal transfer function widget is introduced. The widget controls a mixing function that uses the output of the transfer functions of all three modalities, allowing the user to create one customized fused image. A second problem prevalent in processing TLGI-XCT data is a lack of tools for analyzing the segmentation process of such multimodal data. We address this by providing methods for computing three types of uncertainty: From probabilistic segmentation algorithms, from the voxel neighborhoods as well as from a collection of results. We furthermore introduce a linked views interface to explore this data. The techniques are evaluated on a TLGI-XCT scan of a carbon-fiber reinforced dataset with impact damage. We show that the transfer function widget accelerates and facilitates the exploration of this dataset, while the uncertainty analysis methods give insights into how to tweak and improve segmentation algorithms for more suitable results.

We present a tool which supports CT specialists in exploring the parameter and result space of volume segmentation pipelines. In a preprocessing step, the user samples the parameter space of a number of pipelines to be analysed. Our sampling tool supports arbitrary pipeliness that can be parametrized via the command line. The user can then explore the space of possible results of the sampled pipelines in an interactive visualization tool. This visualization tool highlights the variation resulting from different parametrizations and pipelines, and allows exploring the influence of each parameter. We evaluate our tool on the multimodal segmentation of a carbon-fiber-reinforced polymer (CFRP) specimen with impact damage, scanned with a Talbot-Lau Grating Interferometer Computed Tomography device.