Using the Fourth Dimension to Distinguish Between Structures for Anisotropic Diffusion Filtering in 4D CT Perfusion Scans

Mendrik, Adriënne M.; Vonken, Evert-Jan P.A.; Witkamp, Theo D.; Prokop, Mathias; Ginneken, Bram van; Viergever, Max A.

doi:10.1007/978-3-319-14905-9_7

Cited by 1 publication

(1 citation statement)

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“…For example, the evolution of the gray values in pores 1 and 2 in Figure suggests that there are at least 4 s in between the filling of these pores, and this is correctly captured in the pore‐based segmentation. The development and implementation of more sophisticated 4‐D noise filtering methods, which preserve both the spatial and the temporal structure of the original 4‐D image, could prove important to the further development of real‐time pore‐scale imaging with laboratory‐based micro‐CT [e.g., Eklund et al ., ; Mendrik et al ., ]. Another way to reduce motion artifacts is to select appropriate starting angles for the consecutive tomographic reconstructions [ Armstrong et al ., ].…”

Section: Resultsmentioning

confidence: 99%

Real‐time visualization of Haines jumps in sandstone with laboratory‐based microcomputed tomography

Bultreys

Boone

et al. 2015

Water Resources Research

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In this work, we present a novel laboratory-based micro-computed tomography (micro-CT) experiment designed to investigate the pore scale drainage behavior of natural sandstone under dynamic conditions. The fluid distribution in a Bentheimer sandstone was visualized every 4 seconds with a 12 second measurement time, allowing the investigation of single- and few-pore filling events. To our knowledge, this is the first time that such measurements were performed outside of synchrotron facilities, illustrating the growing application potential of lab-based micro-CT with sub-minute temporal resolutions for geological research at the pore scale. To illustrate how the workflow can lead to an improved understanding of drainage behavior, the experiment was analyzed using a decomposition of the pore space into individual geometrical pores. Preliminary results from this analysis suggest that the distribution of drainage event sizes follows a power law scaling, as expected from percolation theory

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Section: Resultsmentioning

confidence: 99%