First application of scintillator-based photon-counting computed tomography to rock samples: Preliminary results and prospects

Referenced cited

Alessio, A.M. and MacDonald, L.R. (2013) Quantitative material characterization from multi-energy photon counting CT. Medical Physics, 40, 031108, https://doi.org/10.1118/1.4790692.Search in Google Scholar

Arif, M., Mahmoud, M., Zhang, Y., and Iglauer, S. (2021) X-ray tomography imaging of shale microstructures: A review in the context of multiscale correlative imaging. International Journal of Coal Geology, 233, 103641, https://doi.org/10.1016/j.coal.2020.103641.Search in Google Scholar

Arimoto, M., Morita, H., Fujieda, K., Maruhashi, T., Kataoka, J., Nitta, H., and Ikeda, H. (2018) Development of LSI for a new kind of photon-counting computed tomography using multipixel photon counters. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 912, 186–190, https://doi.Org/10.1016/j.nima.2017.11.031.Search in Google Scholar

Arimoto, M., Sato, D., Mizuno, T., Yoshiura, K., Ishiguro, K., Tomoda, T., Kawashima, H., Kobayashi, S., Kataoka, J., Sagisaka, M., and others. (2023) Development of 64-channel LSI with ultrafast analog and digital signal processing dedicated for photon-counting computed tomography with multi-pixel photon counter. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1047, 167721, https://doi.org/10.1016/j.nima.2022.167721.Search in Google Scholar

Baker, D.R., Mancini, L., Polacci, M., Higgins, M.D., Gualda, G.A.R., Hill, R.J., and Rivers, M.L. (2012) An introduction to the application of X-ray microtomography to the three-dimensional study of igneous rocks. Lithos, 148, 262–276, https://doi.org/10.1016/j.lithos.2012.06.008.Search in Google Scholar

Cnudde, V. and Boone, M.N. (2013) High resolution X-ray computed tomography in geosciences: A review of the current technology and applications. Earth-Science Reviews, 123, 1–17, https://doi.org/10.1016/j.earscirev.2013.04.003.Search in Google Scholar

Davis, T.J., Gao, D., Gureyev, T.E., Stevenson, A.W., and Wilkins, S.W. (1995) Phase-contrast imaging of weakly absorbing materials using hard X-rays. Nature, 373, 595–598, https://doi.org/10.1038/373595a0.Search in Google Scholar

Giamas, V., Koutsovitis, P., Sideridis, A., Turberg, P., Grammatikopoulos, T.A., Petrounias, P., Giannakopoulou, P.P., Koukouzas, N., and Hatzipanagiotou, K. (2022) Effectiveness of X-ray micro-CT applications upon mafic and ultramafic ophiolitic rocks. Micron, 158, 103292, https://doi.org/10.1016/j.micron.2022.103292.Search in Google Scholar

Hamm, C.A., Hampe, O., Mews, J., Günter, C., Milke, R., Witzmann, F., Savic, L.J., Hecht, L., Meister, S., Hamm, B., and others. (2022) Quantitative dualenergy CT as a nondestructive tool to identify indicators for fossilized bone in vertebrate paleontology. Scientific Reports, 12, 16407, https://doi.org/10.1038/s41598-022-20707-5.Search in Google Scholar

Hibiya, Y., Archer, G.J., Tanaka, R., Sanborn, M.E., Sato, Y., Iizuka, T., Ozawa, K., Walker, R.J., Yamaguchi, A., Yin, Q.Z., and others. (2019) The origin of the unique achondrite Northwest Africa 6704: Constraints from petrology, chemistry and Re-Os, O and Ti isotope systematics. Geochimica et Cosmochimica Acta, 245, 597–627, https://doi.org/10.1016/j.gca.2018.04.031.Search in Google Scholar

Ketcham, R.A. (2005) Computational methods for quantitative analysis of three-dimensional features in geological specimens. Geosphere, 1, 32–41, https://doi.org/10.1130/GES00001.1.Search in Google Scholar

Kiji, H., Maruhashi, T., Toyoda, T., Kataoka, J., Arimoto, M., Sato, D., Yoshiura, K., Kobayashi, S., Kawashima, H., Terazawa, S., and others. (2020) 64-channel photon-counting computed tomography using a new MPPC-CT system. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 984, 164610, https://doi.org/10.1016/j.nima.2020.164610.Search in Google Scholar

Kim, Y., Lee, Y.-I., and Hisada, K.-I. (2007) Provenance of quartzarenite clasts in the Tetori Group (Middle Jurassic to Early Cretaceous), Japan: Paleogeographic implications. Journal of Asian Earth Sciences, 29, 116–126, https://doi.org/10.1016/j.jseaes.2006.01.005.Search in Google Scholar

Marinoni, N., Voltolini, M., Broekmans, M.A.T.M., Mancini, L., Monteiro, P.J.M., Rotiroti, N., Ferrari, E., and Bernasconi, A. (2015) A combined synchrotron radiation micro computed tomography and micro X-ray diffraction study on deleterious alkali-silica reaction. Journal of Material Science, 50, 7985–7997, https://doi.org/10.1007/s10853-015-9364-7.Search in Google Scholar

Martini, M., Francus, P., Di Schiavi Trotta, L., and Després, P. (2021) Identification of common minerals using stoichiometric calibration method for dual-energy CT. Geochemistry, Geophysics, Geosystems, 22, e2021GC009885.Search in Google Scholar

Mirzaei, F. and Faghihi, R. (2019) Quantification of contrast agent materials using a new image-domain multi material decomposition algorithm based on dual energy CT. BJR|Open, 1, 20180008.Search in Google Scholar

Morita, H., Oshima, T., Kataoka, J., Arimoto, M., and Nitta, H. (2017) Novel photon-counting low-dose computed tomography using a multi-pixel photon counter. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 857, 58–65.Search in Google Scholar

Momose, A. (1995) Demonstration of phase-contrast X-ray computed tomography using an X-ray interferometer. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 352, 622–628, https://doi.org/10.1016/0168-9002(95)90017-9.Search in Google Scholar

Momose, A., Takeda, T., Itai, Y., and Hirano, K. (1996) Phase-contrast X-ray computed tomography for observing biological soft tissues. Nature Medicine, 2, 473–475, https://doi.org/10.1038/nm0496-473.Search in Google Scholar

Moore, R.L., Patera, A., Bonnin, A., and Ménez, B. (2022) Grating-based X-ray computed tomography for improved contrast on a heterogeneous geomaterial. Frontiers in Earth Science, 10, 878738, https://doi.org/10.3389/feart.2022.878738.Search in Google Scholar

Odedra, D., Narayanasamy, S., Sabongui, S., Priya, S., Krishna, S., and Sheikh, A. (2022) Dual energy CT physics—A primer for the emergency radiologist. Frontiers in Radiology, 2, 820430, https://doi.org/10.3389/fradi.2022.820430.Search in Google Scholar

Pak, T., Archilha, N.L., Mantovani, I.F., Moreira, A.C., and Butler, I.B. (2019) An X-ray computed micro-tomography dataset for oil removal from carbonate porous media. Scientific Data, 6, 190004, https://doi.org/10.1038/sdata.2019.4.Search in Google Scholar

Parisatto, M., Turina, A., Cruciani, G., Mancini, L., Peruzzo, L., and Cesare, B. (2018) Three-dimensional distribution of primary melt inclusions in garnets by X-ray microtomography. American Mineralogist, 103, 911–926, https://doi.org/10.2138/am-2018-6216.Search in Google Scholar

Sagisaka, M., Toyoda, T., Kataoka, J., Arimoto, M., Kawashima, H., Kobayashi, S., Murakami, K., Okumura, K., Sato, D., Yoshiura, K., and others. (2023) Experiment of in vivo imaging with third generation setup using Photon-Counting CT with 64ch Multi-Pixel Photon Counter. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1045, 167580, https://doi.org/10.1016/j.nima.2022.167580.Search in Google Scholar

Sato, D., Arimoto, M., Yoshiura, K., Mizuno, T., Aiga, K., Ishiguro, K., Tomoda, T., Kawashima, H., Kobayashi, S., Okumura, K., and others. (2023) Initial results of in vivo CT imaging of contrast agents using MPPC-based photon-counting CT. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1048, 167960, https://doi.org/10.1016/j.nima.2022.167960.Search in Google Scholar

Schmidt, B. and Flohr, T. (2020) Principles and applications of dual source CT. Physica Medica, 79, 36–46, https://doi.org/10.1016/j.ejmp.2020.10.014.Search in Google Scholar

Selem, A.M., Agenet, N., Gao, Y., Raeini, A.Q., Blunt, M.J., and Bijeljic, B. (2021) Pore-scale imaging and analysis of low salinity waterflooding in a heterogeneous carbonate rock at reservoir conditions. Scientific Reports, 11, 15063, https://doi.org/10.1038/s41598-021-94103-w.Search in Google Scholar

Sellerer, T., Ehn, S., Mechlem, K., Duda, M., Epple, M., Noël, P.B., and Pfeiffer, F. (2019) Quantitative dual-energy micro-CT with a photon-counting detector for material science and non-destructive testing. PLoS One, 14, e0219659, https://doi.org/10.1371/journal.pone.0219659.Search in Google Scholar

Sittner, J., Godinho, J.R.A., Renno, A.D., Cnudde, V., Boone, M., De Schryver, T., Van Loo, D., Merkulova, M., Roine, A., and Liipo, J. (2021) Spectral X-ray computed micro tomography: 3-dimensional chemical imaging. X-ray Spectrometry, 50, 92–105, https://doi.org/10.1002/xrs.3200.Search in Google Scholar

Voltolini, M., Zandomeneghi, D., Mancini, L., and Polacci, M. (2011) Texture analysis of volcanic rock samples: Quantitative study of crystal and vesicles shape preferred orientation from X-ray microtomography data. Journal of Volcanology and Geothermal Research, 202, 83–95, https://doi.org/10.1016/j.jvolgeores.2011.02.003.Search in Google Scholar

Willemink, M.J., Persson, M., Pourmorteza, A., Pelc, N.J., and Fleischmann, D. (2018) Photon-counting CT: Technical principles and clinical prospects. Radiology, 289, 293–312, https://doi.org/10.1148/radiol.2018172656.Search in Google Scholar

Zandomeneghi, D., Voltolini, M., Mancini, L., Brun, F., and Polacci, M. (2010) Quantitative analysis of X-ray microtomography images of geomaterials: Application to volcanic rocks. Geosphere, 6, 793–804, https://doi.org/10.1130/GES00561.1.Search in Google Scholar