References
- Erich, M. S.; Hoskins, B. R. Effects of Soil Drying on Soil pH and Nutrient Extractability. Commun. Soil Sci. Plant Anal. 2011, 42, 1167–1176. DOI: https://doi.org/10.1080/00103624.2011.566961.
- Ajala, A. S.; Ajala, F. A. A Study on Drying Kinetics of Shrimps. Int. J. Innovat. Appl. Stud. 2014, 9, 1778–1785.
- Ziaee, A.; Albadarin, A. B.; Padrela, L.; Femmer, T.; O'Reilly, E.; Walker, G. Spray Drying of Pharmaceuticals and Biopharmaceuticals: Critical Parameters and Experimental Process Optimization Approaches. Eur. J. Pharm. Sci. 2019, 127, 300–318. DOI: https://doi.org/10.1016/j.ejps.2018.10.026.
- Karagiannis, N.; Karoglou, M.; Bakolas, A.; Krokida, M.; Moropoulou, A. Drying Kinetics of Building Materials Capillary Moisture. Constr. Build. Mater. 2017, 137, 441–449. DOI: https://doi.org/10.1016/j.conbuildmat.2017.01.094.
- Lal, S.; Poulikakos, L.; Jerjen, I.; Vontobel, P.; Partl, M. N.; Derome, D.; Carmeliet, J. Wetting and Drying in Hydrophobic, Macroporous Asphalt Structures. Constr. Build. Mater. 2017, 152, 82–95. DOI: https://doi.org/10.1016/j.conbuildmat.2017.06.145.
- Asami, S. Drying of Fine Ceramics. Drying Technol. 1993, 11, 733–747. DOI: https://doi.org/10.1080/07373939308916861.
- Cuevas, M.; Martínez-Cartas, M. L.; Pérez-Villarejo, L.; Hernández, L.; García-Martín, J. F.; Sánchez, S. Drying Kinetics and Effective Water Diffusivities in Olive Stone and Olive-Tree Pruning. Renew. Energy 2019, 132, 911–920. DOI: https://doi.org/10.1016/j.renene.2018.08.053.
- Prat, M. Recent Advances in Pore-Scale Models for Drying of Porous Media. Chem. Eng. J. 2002, 86, 153–164. DOI: https://doi.org/10.1016/S1385-8947(01)00283-2.
- Schlünder, E.-U. On the Mechanism of the Constant Drying Rate Period and Its Relevance to Diffusion Controlled Catalytic Gas Phase Reactions. Chem. Eng. Sci. 1988, 43, 2685–2688. DOI: https://doi.org/10.1016/0009-2509(88)80012-5.
- Schlünder, E.-U. Drying of Porous Material during the Constant and the Falling Rate Period: A Critical Review of Existing Hypotheses. Drying Technol. 2004, 22, 1517–1532. DOI: https://doi.org/10.1081/DRT-120038738.
- Toei, R.; Okazaki, M. Drying Mechanism of Capillary-Porous Bodies. J. Eng. Phys. 1970, 19, 1123–1131. DOI: https://doi.org/10.1007/BF00826236.
- Shokri, N.; Sahimi, M.; Or, D. Morphology, Propagation Dynamics and Scaling Characteristics of Drying Fronts in Porous Media. Geophys. Res. Lett. 2012, 39, L09401. DOI: https://doi.org/10.1029/2012GL051506.
- Cai, W.; Zhu, L.; Dong, S.; Xie, G.; Li, J. Effect of Thermophysical Properties on Coupled Heat and Mass Transfer in Porous Material during Forced Convective Drying. Adv. Mech. Eng. 2014, 6, 830387. DOI: https://doi.org/10.1155/2014/830387.
- Chauvet, F.; Duru, P.; Geoffroy, S.; Prat, M. Three Periods of Drying of a Single Square Capillary Tube. Phys. Rev. Lett. 2009, 103, 124502. DOI: https://doi.org/10.1103/PhysRevLett.103.124502.
- Vorhauer, N.; Tran, Q. T.; Metzger, T.; Tsotsas, E.; Prat, M. Experimental Investigation of Drying in a Model Porous Medium: Influence of Thermal Gradients. Drying Technol. 2013, 31, 920–929. DOI: https://doi.org/10.1080/07373937.2012.724750.
- Chauvet, F.; Duru, P.; Prat, M. Depinning of Evaporating Liquid Films in Square Capillary Tubes: Influence of Corners’ Roundedness. Phys. Fluids 2010, 22, 112113. DOI: https://doi.org/10.1063/1.3503925.
- Yiotis, A. G.; Boudouvis, A. G.; Stubos, A. K.; Tsimpanogiannis, I. N.; Yortsos, Y. C. Effect of Liquid Films on the Drying of Porous Media. AIChE J. 2004, 50, 2721–2737. DOI: https://doi.org/10.1002/aic.10265.
- Hassanizadeh, S. M.; Gray, W. G. Thermodynamic Basis of Capillary Pressure in Porous Media. Water Resour. Res. 1993, 29, 3389–3405. DOI: https://doi.org/10.1029/93WR01495.
- Lehmann, P.; Assouline, S.; Or, D. Characteristic Lengths Affecting Evaporative Drying of Porous Media. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 2008, 77, 056309. DOI: https://doi.org/10.1103/PhysRevE.77.056309.
- Mujumdar, A. S., Ed. Handbook of Industrial Drying; CRC Press: Boca Raton, FL, 2014.
- Haines, W. B. Studies in the Physical Properties of Soil. V. The Hysteresis Effect in Capillary Properties, and the Modes of Moisture Distribution Associated Therewith. J. Agric. Sci. 1930, 20, 97–116. DOI: https://doi.org/10.1017/S002185960008864X.
- Sun, Z.; Santamarina, J. C. Haines Jumps: Pore Scale Mechanisms. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 2019, 100, 023115. DOI: https://doi.org/10.1103/PhysRevE.100.023115.
- Berg, S.; Ott, H.; Klapp, S. A.; Schwing, A.; Neiteler, R.; Brussee, N.; Makurat, A.; Leu, L.; Enzmann, F.; Schwarz, J.-O.; et al. Real-Time 3-D Imaging of Haines Jumps in Porous Media Flow. Proc. Natl. Acad. Sci. U.S.A. 2013, 110, 3755–3759. DOI: https://doi.org/10.1073/pnas.1221373110.
- Yiotis, A. G.; Salin, D.; Tajer, E. S.; Yortsos, Y. C. Drying in Porous Media with Gravity-Stabilized Fronts: Experimental Results. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 2012, 86, 026310. DOI: https://doi.org/10.1103/PhysRevE.86.026310.
- Yiotis, A. G.; Salin, D.; Tajer, E. S.; Yortsos, Y. C. Analytical Solutions of Drying in Porous Media for Gravity-Stabilized Fronts. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 2012, 85, 046308. DOI: https://doi.org/10.1103/PhysRevE.85.046308.
- Yiotis, A. G.; Salin, D.; Yortsos, Y. C. Pore Network Modeling of Drying Processes in Macroporous Materials: Effects of Gravity, Mass Boundary Layer and Pore Microstructure. Transp. Porous Med. 2015, 110, 175–196. DOI: https://doi.org/10.1007/s11242-015-0529-2.
- Haghi, A. K. A Mathematical Model of the Drying Process. Acta Polytech. 2001, 41, 20–23.
- Metzger, T.; Irawan, A.; Tsotsas, E. Influence of Pore Structure on Drying Kinetics: A Pore Network Study. AIChE J. 2007, 53, 3029–3041. DOI: https://doi.org/10.1002/aic.11307.
- Moghaddam, A. A.; Kharaghani, A.; Tsotsas, E.; Prat, M. Kinematics in a Slowly Drying Porous Medium: Reconciliation of Pore Network Simulations and Continuum Modeling. Phys. Fluids 2017, 29, 022102. DOI: https://doi.org/10.1063/1.4975985.
- Chen, C.; Duru, P.; Joseph, P.; Geoffroy, S.; Prat, M. Control of Evaporation by Geometry in Capillary Structures. From Confined Pillar Arrays in a Gap Radial Gradient to Phyllotaxy-Inspired Geometry. Sci. Rep. 2017, 7, 15110.
- Nachshon, U. Cropland Soil Salinization and Associated Hydrology: Trends, Processes and Examples. Water 2018, 10, 1030.
- Chatterij, S. On the Application of Fick’s Second Law to Chloride Ion Migration through Portland Cement Concrete. Cem. Concr. Res. 1995, 25, 299–303.
- Huinink, H. P.; Pel, L.; Michels, J. How Ions Distribute in a Drying Porous Medium: A Simple Model. Phys. Fluids 2002, 14, 1389–1395. DOI: https://doi.org/10.1063/1.1451081.
- Foerst, P.; Melo de Carvalho, T.; Lechner, M.; Kovacevic, T.; Kim, S.; Kirse, C.; Briesen, H. Estimation of Mass Transfer Rate and Primary Drying Times during Freeze-Drying of Frozen Maltodextrin Solutions Based on X-Ray µ-Computed Tomography Measurements of Pore Size Distributions. J. Food Eng. 2019, 260, 50–57. DOI: https://doi.org/10.1016/j.jfoodeng.2019.05.002.
- Bultreys, T.; Boone, M. A.; Boone, M. N.; De Schryver, T.; Masschaele, B.; Van Loo, D.; Van Hoorebeke, L.; Cnudde, V. Real-Time Visualization of Haines Jumps in Sandstone with Laboratory-Based Microcomputed Tomography. Water Resour. Res. 2015, 51, 8668–8676. DOI: https://doi.org/10.1002/2015WR017502.
- Huang, Q.; Zeng, Z. A Review on Real-Time 3D Ultrasound Imaging Technology. Biomed. Res. Int. 2017, 2017, 6027029. DOI: https://doi.org/10.1155/2017/6027029.
- Gladden, L. F.; Sederman, A. J. Recent Advances in Flow MRI. J. Magn. Reson. 2013, 229, 2–11. DOI: https://doi.org/10.1016/j.jmr.2012.11.022.
- Koptyug, I. V. MRI of Mass Transport in Porous Media: Drying and Sorption Processes. Prog. Nuclear Magn. Reson. Spectrosc. 2012, 65, 1–65.
- Vorhauer-Huget, N.; Mannes, D.; Hilmer, M.; Gruber, S.; Strobl, M.; Tsotsas, E.; Foerst, P. Freeze-Drying with Structured Sublimation Fronts – Visualization with Neutron Imaging. Processes 2020, 8, 1091. DOI: https://doi.org/10.3390/pr8091091.
- Fredrich, J. T. 3D Imaging of Porous Media Using Laser Scanning Confocal Microscopy with Application to Microscale Transport Processes. Phys. Chem. Earth Part A 1999, 24, 551–561. DOI: https://doi.org/10.1016/S1464-1895(99)00079-4.
- Mikhailik, V. B.; Kapustyanyk, V.; Tsybulskyi, V.; Rudyk, V.; Kraus, H. Luminescence and Scintillation Properties of CsI: A Potential Cryogenic Scintillator. Phys. Status Solidi B 2015, 252, 804–810. DOI: https://doi.org/10.1002/pssb.201451464.
- Dullien, F. A. L. Porous Media: Fluid Transport and Pore Structure; Academic Press: San Diego, CA, 1992.
- Zhou, R.; Zhou, X.; Li, X.; Cai, Y.; Liu, F. Study of the Microfocus X-Ray Tube Based on a Point-Like Target Used for Micro-Computed Tomography. PLoS One 2016, 11, e0156224. DOI: https://doi.org/10.1371/journal.pone.0156224.
- Chotas, H. G.; Dobbins, J. T., III; Ravin, C. E. Principles of Digital Radiography with Large-Area, Electronically Readable Detectors: A Review of the Basics. Radiology 1999, 210, 595–599. DOI: https://doi.org/10.1148/radiology.210.3.r99mr15595.
- Ketcham, R. A.; Carlson, W. D. Acquisition, Optimization and Interpretation of X-Ray Computed Tomographic Imagery: Applications to the Geosciences. Comput. Geosci. 2001, 27, 381–400. DOI: https://doi.org/10.1016/S0098-3004(00)00116-3.
- Bonse, U.; Busch, F. X-Ray Computed Microtomography (microCT) using synchrotron radiation (SR)). Prog. Biophys. Mol. Biol. 1996, 65, 133–169. DOI: https://doi.org/10.1016/s0079-6107(96)00011-9.
- Brunke, O.; Brockdorf, K.; Drews, S.; Müller, B.; Donath, T.; Herzen, J.; Beckmann, F. Comparison between X-Ray Tube Based and Synchrotron Radiation Based µCT. Presented at the Proceedings of SPIE 7808, Developments in X-Ray Tomography VI, San Diego, CA, September 16, 2008.
- Withers, P. J. X-Ray Nanotomography. Mater. Today 2007, 10, 26–34. DOI: https://doi.org/10.1016/S1369-7021(07)70305-X.
- Miller, F. P.; Vandome, A. F.; McBrewster, J., Eds. Nyquist-Shannon Sampling Theorem; Alphascript Publishing: Beau Bassin, Mauritius, 2010.
- Kak, A. C.; Slaney, M. Principles of Computerized Tomographic Imaging; IEEE Press: New York, NY, 1988.
- Després, P.; Jia, X. A Review of GPU-Based Medical Image Reconstruction. Phys. Med. 2017, 42, 76–92. DOI: https://doi.org/10.1016/j.ejmp.2017.07.024.
- Plantagie, L.; Van Aarle, W.; Sijbers, J.; Batenburg, K. J. Filtered Backprojection Using Algebraic Filters; Application to Biomedical Micro-CT Data. Presented at the 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), New York, NY, April 16–19; pp. 1596–1599, 2015.
- Feldkamp, L. A.; Davis, L.; Kress, J. Practical Cone-Beam Algorithm. J. Opt. Soc. Am. A 1984, 1, 612–619. [Database] DOI: https://doi.org/10.1364/JOSAA.1.000612.
- Flores, L. A.; Vidal, V.; Mayo, P.; Rodenas, F.; Verdú, G. CT Image Reconstruction Based on GPUs. Procedia Comput. Sci. 2013, 18, 1412–1420. DOI: https://doi.org/10.1016/j.procs.2013.05.308.
- Hounsfield, G. N. Computerized Transverse Axial Scanning (Tomography): Part 1. Description of System. Br. J. Radiol. 1973, 46, 1016–1022. DOI: https://doi.org/10.1259/0007-1285-46-552-1016.
- Li, H.; Kaira, S.; Mertens, J.; Chawla, N.; Jiao, Y. Accurate Stochastic Reconstruction of Heterogeneous Microstructures by Limited X-Ray Tomographic Projections. J. Microsc. 2016, 264, 339–350.
- Wang, G.; Ye, J. C.; Mueller, K.; Fessler, J. A. Image Reconstruction is a New Frontier of Machine Learning. IEEE Trans. Med. Imaging 2018, 37, 1289–1296. DOI: https://doi.org/10.1109/TMI.2018.2833635.
- Batenburg, K. J.; Sijbers, J. DART: A Practical Reconstruction Algorithm for Discrete Tomography. IEEE Trans. Image Process. 2011, 20, 2542–2553. DOI: https://doi.org/10.1109/TIP.2011.2131661.
- Schlüter, S.; Sheppard, A.; Brown, K.; Wildenschild, D. Image Processing of Multiphase Images Obtained via X-Ray Microtomography: A Review. Water Resour. Res. 2014, 50, 3615–3639. DOI: https://doi.org/10.1002/2014WR015256.
- Huang, T. S.; Yang, G. J.; Tang, G. Y. A Fast Two-Dimensional Median Filtering Algorithm. IEEE Trans. Acoust. Speech Signal. Process. 1979, 27, 13–18. DOI: https://doi.org/10.1109/TASSP.1979.1163188.
- Perona, P.; Malik, J. Scale-Space and Edge Detection Using Anisotropic Diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 1990, 12, 629–639. [Database] DOI: https://doi.org/10.1109/34.56205.
- Buades, A.; Coll, B.; Morel, J. M. A Non-Local Algorithm for Image Denoising. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. 2005, 2, 60–65.
- Sheppard, A. P.; Sok, R. M.; Averdunk, H. Techniques for Image Enhancement and Segmentation of Tomographic Images of Porous Materials. Phys. A 2004, 339, 145–151. DOI: https://doi.org/10.1016/j.physa.2004.03.057.
- Cuevas, E.; Gonzáles, A.; Fausto, F.; Zaldívar, D.; Pérez-Cisneros, M. Multithreshold Segmentation by Using an Algorithm Based on the Behavior of Locust Swarms. Math. Probl. Eng. 2015, 2015, 1–35.
- Batenburg, K. J.; Sijbers, J. Automatic Local Thresholding of Tomographic Reconstructions Based on the Projection Data. Proc. Soc. Photo-Opt. Instrum. Eng. 2008, 6913, 69132. DOI: https://doi.org/10.1117/12.770675.
- Kulkarni, R.; Tuller, M.; Fink, W.; Wildenschild, D. Three-Dimensional Multiphase Segmentation of X-Ray CT Data of Porous Materials Using a Bayesian Markov Random Field Framework. Vadose Zone J. 2012, 11, 74–85. vzj2011.0082.
- Sezgin, M.; Sankur, B. Survey over Image Thresholding Techniques and Quantitative Performance Evaluation. J. Electron. Imaging 2004, 13, 146–165. DOI: https://doi.org/10.1117/1.1631315.
- Iassonov, P.; Gebrenegus, T.; Tuller, M. Segmentation of X-Ray Computed Tomography Images of Porous Materials: A Crucial Step for Characterization and Quantitative Analysis of Pore Structure. Water Resour. Res. 2009, 45, W09415. [Database] DOI: https://doi.org/10.1029/2009WR008087.
- Haralick, R. M.; Sternberg, S. R.; Zhuang, X. Image Analysis Using Mathematical Morphology. IEEE Trans. Pattern Anal. Mach. Intell. 1987, 9, 532–550. DOI: https://doi.org/10.1109/tpami.1987.4767941.
- Costanza-Robinson, M. S.; Estabrook, B. D.; Fouhey, D. F. Representative Elementary Volume Estimation for Porosity, Moisture Saturation, and Air-Water Interfacial Areas in Unsaturated Porous Media: Data Quality Implications. Water Resour. Res. 2011, 47, W07513. DOI: https://doi.org/10.1029/2010WR009655.
- Yang, F.; Griffa, M.; Bonnin, A.; Mokso, R.; Di Bella, C.; Münch, B.; Kaufmann, R.; Lura, P. Visualization of Water Drying in Porous Materials by X-Ray Phase Contrast Imaging. J. Microsc. 2015, 261, 88–104. DOI: https://doi.org/10.1111/jmi.12319.
- Mayo, S. C.; Stevenson, A. W.; Wilkins, S. W. In-Line Phase-Contrast X-Ray Imaging and Tomography for Materials Science. Materials (Basel) 2012, 5, 937–965. DOI: https://doi.org/10.3390/ma5050937.
- Weitkamp, T.; Diaz, A.; David, C.; Pfeiffer, F.; Stampanoni, M.; Cloetens, P.; Ziegler, E. X-Ray Phase Imaging with a Grating Interferometer. Opt. Express 2005, 13, 6296–6304. DOI: https://doi.org/10.1364/opex.13.006296.
- Miao, J.; Charalambous, P.; Kirz, J.; Sayre, D. Extending the Methodology of X-Ray Crystallography to Allow Imaging of Micrometre-Sized Non-Crystalline Specimens. Nature 1999, 400, 342–344. DOI: https://doi.org/10.1038/22498.
- Maire, E.; Withers, P. J. Quantitative X-Ray Tomography. Int. Mater. Rev. 2014, 59, 1–43. DOI: https://doi.org/10.1179/1743280413Y.0000000023.
- Vinegar, H. J.; Wellington, S. L. Tomographic Imaging of Threephase Flow Experiments. Rev. Sci. Instrum. 1987, 58, 96–107. DOI: https://doi.org/10.1063/1.1139522.
- Gignac, P. M.; Kley, N. J. Iodine-Enhanced Micro-CT Imaging: Methodological Refinements for the Study of the Soft-Tissue Anatomy of Post-Embryonic Vertebrates. J. Exp. Zool. 2014, 322B, 166–176.
- Deboodt, T.; Wildenschild, D.; Ideker, J. H.; Isgor, O. B. Use of Iodine for Improving Phase Quantification Using X-Ray Tomography. Cem. Concr. Res. 2019, 116, 102–112. DOI: https://doi.org/10.1016/j.cemconres.2018.11.004.
- Metscher, B. D. MicroCT for Comparative Morphology: Simple Staining Methods Allow High-Contrast 3D Imaging of Diverse Non-Mineralized Animal Tissues. BMC Physiol. 2009, 9, 11 DOI: https://doi.org/10.1186/1472-6793-9-11.
- Schlüter, S.; Berg, S.; Rücker, M.; Armstrong, R. T.; Vogel, H.-J.; Hilfer, R.; Wildenschild, D. Pore-Scale Displacement Mechanisms as a Source of Hysteresis for Two-Phase Flow in Porous Media. Water Resour. Res. 2016, 52, 2194–2205. DOI: https://doi.org/10.1002/2015WR018254.
- Kerckhofs, G.; Stegen, S.; Van Gastel, N.; Sap, A.; Falgayrac, G.; Penel, G.; Durand, M.; Luyten, F. P.; Geris, L.; Vandamme, K.; et al. Simultaneous Three-Dimensional Visualization of Mineralized and Soft Skeletal Tissues by a Novel MicroCT Contrast Agent with Polyoxometalate Structure. Biomaterials 2018, 159, 1–12. DOI: https://doi.org/10.1016/j.biomaterials.2017.12.016.
- Cormode, D. P.; Naha, P. C.; Fayad, Z. A. Nanoparticle Contrast Agents for Computed Tomography: A Focus on Micelles. Contrast Media Mol. Imaging 2014, 9, 37–52. DOI: https://doi.org/10.1002/cmmi.1551.
- Halliday, D.; Resnick, R.; Walker, J. Fundamentals of Physics; Wiley: Weinheim, 2018.
- Clausnitzer, V.; Hopmans, J. W. Pore-Scale Measurements of Solute Breakthrough Using Microfocus X-Ray Computed Tomography. Water Resour. Res. 2000, 36, 2067–2079. [Database] DOI: https://doi.org/10.1029/2000WR900076.
- Lorenzi, M. X-Ray Computed Microtomography Applications for Complex Geometries and Multiphase Flow. Doctoral Thesis, University of London, U.K., 2017.
- Ahmed, O. M. H.; Song, Y. A Review of Common Beam Hardening Correction Methods for Industrial X-Ray Computed Tomography. Sains Malays. 2018, 47, 1883–1890. DOI: https://doi.org/10.17576/jsm-2018-4708-29.
- Brooks, R. A.; Di Chiro, G. Beam Hardening in X-Ray Reconstructive Tomography. Phys. Med. Biol. 1976, 21, 390–398. DOI: https://doi.org/10.1088/0031-9155/21/3/004.
- Ketcham, R. A.; Hanna, R. D. Beam Hardening Correction for X-Ray Computed Tomography of Heterogeneous Natural Materials. Comput. Geosci. 2014, 67, 49–61. DOI: https://doi.org/10.1016/j.cageo.2014.03.003.
- Reiter, M.; Borges De Oliveira, F.; Bartscher, M.; Gusenbauer, C.; Kastner, J. Case Study of Empirical Beam Hardening Correction Methods for Dimensional X-Ray Computed Tomography Using a Dedicated Multi-Material Reference Standard. J. Nondestruct. Eval. 2018, 38, 10.
- Wildenschild, D.; Hopmans, J. W.; Vaz, C. M. P.; Rivers, M. L.; Rikard, D.; Christensen, B. S. B. Using X-Ray Computed Tomography in Hydrology: Systems, Resolutions, and Limitations. J. Hydrol. 2002, 267, 285–297. DOI: https://doi.org/10.1016/S0022-1694(02)00157-9.
- Du Plessis, A.; Broeckhoven, C.; Guelpa, A.; Le Roux, S. G. Laboratory X-Ray Micro-Computed Tomography: A User Guideline for Biological Samples. Gigascience 2017, 6, 1–11. DOI: https://doi.org/10.1093/gigascience/gix027.
- Rivers, M. L.; Sutton, S. R.; Eng, P. Geoscience Applications of X-Ray Computed Microtomography. Presented at the Proceedings of SPIE 3772, Developments in X-Ray Tomography II, Denver, CO, September 22, 1999.
- Rad, M. N.; Shokri, N.; Keshmiri, A.; Withers, P. J. Effects of Grain and Pore Size on Salt Precipitation during Evaporation from Porous Media. Transp. Porous Med. 2015, 110, 281–294. DOI: https://doi.org/10.1007/s11242-015-0515-8.
- Bergstad, M.; Or, D.; Withers, P. J.; Shokri, N. The Influence of NaCl Concentration on Salt Precipitation in Heterogeneous Porous Media. Water Resour. Res. 2017, 53, 1702–1712. DOI: https://doi.org/10.1002/2016WR020060.
- Bergstad, M.; Or, D.; Withers, P. J.; Shokri, N. Evaporation Dynamics and NaCl Precipitation on Capillarity-Coupled Heterogeneous Porous Surfaces. Water Resour. Res. 2018, 54, 3876–3885. DOI: https://doi.org/10.1029/2018WR022614.
- Nachshon, U.; Weisbrod, N.; Dragila, M. I.; Grader, A. Combined Evaporation and Salt Precipitation in Homogeneous and Heterogeneous Porous Media. Water Resour. Res. 2011, 47, W03513.
- Roels, S. M.; Ott, H.; Zitha, P. L. J. µ-CT Analysis and Numerical Simulation of Drying Effects of CO2 Injection into Brine-Saturated Porous Media. Int. J. Greenhouse Gas Control 2014, 27, 146–154. DOI: https://doi.org/10.1016/j.ijggc.2014.05.010.
- Shokri, N.; Sahimi, M. Structure of Drying Fronts in Three-Dimensional Porous Media. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 2012, 85, 066312. DOI: https://doi.org/10.1103/PhysRevE.85.066312.
- Shokri, N.; Lehmann, P.; Or, D. Liquid-Phase Continuity and Solute Concentration Dynamics during Evaporation from Porous Media: Pore-Scale Processes near Vaporization Surface. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 2010, 81, 046308. DOI: https://doi.org/10.1103/PhysRevE.81.046308.
- Prime, N.; Housni, Z.; Fraikin, L.; Léonard, A.; Charlier, R.; Levasseur, S. On Water Transfer and Hydraulic Connection Layer during the Convective Drying of Rigid Porous Material. Transp. Porous Med. 2015, 106, 47–72. DOI: https://doi.org/10.1007/s11242-014-0390-8.
- Jerjen, I.; Poulikakos, L. D.; Plamondon, M.; Schuetz, P.; Luethi, T.; Flisch, A. Drying of Porous Asphalt Concrete Investigated by X-Ray Computed Tomography. Phys. Procedia 2015, 69, 451–456. DOI: https://doi.org/10.1016/j.phpro.2015.07.063.
- Aboufoul, M.; Shokri, N.; Saleh, E.; Tuck, C.; Garcia, A. Dynamics of Water Evaporation from Porous Asphalt. Constr. Build. Mater. 2019, 202, 406–414. DOI: https://doi.org/10.1016/j.conbuildmat.2019.01.043.
- Ishutov, S.; Hasiuk, F. J.; Jobe, D.; Agar, S. Using Resin-Based 3D Printing to Build Geometrically Accurate Proxies of Porous Sedimentary Rocks. Ground Water 2018, 56, 482–490. DOI: https://doi.org/10.1111/gwat.12601.
- Mady, A. Y.; Shein, E. V. Assessment of Pore Space Changes during Drying and Wetting Cycles in Hysteresis of Soil Water Retention Curve in Russia Using X-Ray Computed Tomography. Geoderma Regional 2020, 21, e00259. DOI: https://doi.org/10.1016/j.geodrs.2020.e00259.
- Léonard, A.; Blacher, S.; Marchot, P.; Crine, M. Use of X-Ray Microtomography to Follow the Convective Heat Drying of Wastewater Sludges. Drying Technol. 2002, 20, 1053–1069.
- Léonard, A.; Blacher, S.; Marchot, P.; Pirard, J. P.; Crine, M. Measurement of Shrinkage and Cracks Associated to Convective Drying of Soft Materials by X-Ray Microtomography. Drying Technol. 2004, 22, 1695–1708. DOI: https://doi.org/10.1081/DRT-200025629.
- Shahraeeni, E.; Or, D. Pore-Scale Evaporation-Condensation Dynamics Resolved by Synchrotron X-Ray Tomography. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 2012, 85, 016317. DOI: https://doi.org/10.1103/PhysRevE.85.016317.
- Wang, Y.; Kharaghani, A.; Metzger, T.; Tsotsas, E. Pore Network Drying Model for Particle Aggregates: Assessment by X-Ray Microtomography. Drying Technol. 2012, 30, 1800–1809. DOI: https://doi.org/10.1080/07373937.2012.713422.
- Andrew, M.; Menke, H.; Blunt, M. J.; Bijeljic, B. The Imaging of Dynamic Multiphase Fluid Flow Using Synchrotron-Based X-Ray Microtomography at Reservoir Conditions. Transp. Porous Med. 2015, 110, 1–24. DOI: https://doi.org/10.1007/s11242-015-0553-2.
- Costanza-Robinson, M. S.; Harrold, K. H.; Lieb-Lappen, R. M. X-Ray Microtomography Determination of Air-Water Interfacial Area-Water Saturation Relationships in Sandy Porous Media. Environ. Sci. Technol. 2008, 42, 2949–2956. DOI: https://doi.org/10.1021/es072080d.
- Bartels, W.-B.; Rücker, M.; Berg, S.; Mahani, H.; Georgiadis, A.; Fadili, A.; Brussee, N.; Coorn, A.; Van Der Linde, H.; Hinz, C.; et al. Fast X-Ray Micro-CT Study of the Impact of Brine Salinity on the Pore-Scale Fluid Distribution during Waterflooding. Petrophysics 2017, 58, 36–47.
- Lal, S.; Lucci, F.; Defraeye, T.; Poulikakos, L. D.; Partl, M. N.; Derome, D.; Carmeliet, J. CFD Modeling of Convective Scalar Transport in a Macroporous Material for Drying Applications. Int. J. Therm. Sci. 2018, 123, 86–98. DOI: https://doi.org/10.1016/j.ijthermalsci.2017.09.010.
- Liu, X.; Zhou, A.; Li, J.; Feng, S. Reproducing Micro X-Ray Computed Tomography (microXCT) Observations of Air-Water Distribution in Porous Media Using Revised Pore-Morphology Method. Can. Geotech. J. 2020, 57, 149–156. DOI: https://doi.org/10.1139/cgj-2018-0662.
- Kohout, M.; Grof, Z.; Stepánek, F. Pore-Scale Modelling and Tomographic Visualisation of Drying in Granular Media. J. Colloid Interface Sci. 2006, 299, 342–351. DOI: https://doi.org/10.1016/j.jcis.2006.01.074.
- Dobson, K. J.; Coban, S. B.; McDonald, S. A.; Walsh, J. N.; Atwood, R. C.; Withers, P. J. 4-D Imaging of Sub-Second Dynamics in Pore-Scale Processes Using Real-Time Synchrotron X-Ray Tomography. Solid Earth 2016, 7, 1059–1073. DOI: https://doi.org/10.5194/se-7-1059-2016.
- Van Eyndhoven, G.; Batenburg, K. J.; Kazantsev, D.; Van Nieuwenhove, V.; Lee, P. D.; Dobson, K. J.; Sijbers, J. An Iterative CT Reconstruction Algorithm for Fast Fluid Flow Imaging. IEEE Trans. Image Process. 2015, 24, 4446–4458. DOI: https://doi.org/10.1109/TIP.2015.2466113.
- Van Nieuwenhove, V.; De Beenhouwer, J.; Vlassenbroeck, J.; Brennan, M.; Sijbers, J. MoVIT: A Tomographic Reconstruction Framework for 4D-CT. Opt. Express 2017, 25, 19236–19250. DOI: https://doi.org/10.1364/OE.25.019236.
- Whiting, B. R. Signal Statistics of X-Ray Computed Tomography. Presented at the Proceedings of SPIE 4682, Medical Imaging 2002: Physics of Medical Imaging, San Diego, CA, May 3, 2002.
- Bultreys, T.; Boone, M. A.; Boone, M. N.; De Schryver, T.; Masschaele, B.; Van Hoorebeke, L.; Cnudde, V. Fast Laboratory-Based Micro-Computed Tomography for Pore-Scale Research: Illustrative Experiments and Perspectives on the Future. Adv. Water Resour. 2016, 95, 341–351. DOI: https://doi.org/10.1016/j.advwatres.2015.05.012.
- Feali, M.; Pinczewski, W. V.; Cinar, Y.; Arns, C. H.; Arns, J.-Y.; Turner, M.; Senden, T.; Francois, N.; Knackstedt, M. Qualitative and Quantitative Analyses of the Three-Phase Distribution of Oil, Water, and Gas in Bentheimer Sandstone by Use of Micro-CT Imaging. SPE Reservoir Eval. Eng. 2012, 15, 706–711. DOI: https://doi.org/10.2118/151609-PA.
- Chen, H.; Rogalski, M. M.; Anker, J. N. Advances in Functional X-Ray Imaging Techniques and Contrast Agents. Phys. Chem. Chem. Phys. 2012, 14, 13469–13486. DOI: https://doi.org/10.1039/c2cp41858d.
- Lee, J. S.; Weon, B. M.; Je, J. H. X-Ray Phase-Contrast Imaging of Dynamics of Complex Fluids. J. Phys. D: Appl. Phys. 2013, 46, 494006. DOI: https://doi.org/10.1088/0022-3727/46/49/494006.
- Persson, M.; Holmin, S.; Karlsson, S.; Bornefalk, H.; Danielsson, M. Subpixel X-Ray Imaging with an Energy-Resolving Detector. J. Med. Imaging (Bellingham) 2018, 5, 013507. DOI: https://doi.org/10.1117/1.JMI.5.1.013507.
- Roslin, A.; Pokrajac, D.; Zhou, Y. Cleat Structure Analysis and Permeability Simulation of Coal Samples Based on Micro-Computed Tomography (micro-CT) and Scan Electron Microscopy (SEM) Technology. Fuel 2019, 254, 115579. DOI: https://doi.org/10.1016/j.fuel.2019.05.162.