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Journal articles on the topic 'Global tomography'

Author: Grafiati

Published: 10 March 2023

Last updated: 31 July 2025

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1

Wenhao Chen, Wenhao Chen, Yudan Wang Yudan Wang, Huiqiang Liu Huiqiang Liu, Biao Deng Biao Deng, Yushuang Yang Yushuang Yang, and Tiqiao Xiao Tiqiao Xiao. "Pseudo-global tomography for local micro-computed tomography with high-brightness synchrotron X-rays." Chinese Optics Letters 12, no. 2 (2014): 023401–23404. http://dx.doi.org/10.3788/col201412.023401.

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2

Haned, A., E. Stutzmann, M. Schimmel, S. Kiselev, A. Davaille, and A. Yelles-Chaouche. "Global tomography using seismic hum." Geophysical Journal International 204, no. 2 (2015): 1222–36. http://dx.doi.org/10.1093/gji/ggv516.

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3

Ritzwoller, Michael H., Nikolai M. Shapiro, Mikhail P. Barmin, and Anatoli L. Levshin. "Global surface wave diffraction tomography." Journal of Geophysical Research: Solid Earth 107, B12 (2002): ESE 4–1—ESE 4–13. http://dx.doi.org/10.1029/2002jb001777.

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4

Root, B. C. "Comparing global tomography-derived and gravity-based upper mantle density models." Geophysical Journal International 221, no. 3 (2020): 1542–54. http://dx.doi.org/10.1093/gji/ggaa091.

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SUMMARY Current seismic tomography models show a complex environment underneath the crust, corroborated by high-precision satellite gravity observations. Both data sets are used to independently explore the density structure of the upper mantle. However, combining these two data sets proves to be challenging. The gravity-data has an inherent insensitivity in the radial direction and seismic tomography has a heterogeneous data acquisition, resulting in smoothed tomography models with de-correlation between different models for the mid-to-small wavelength features. Therefore, this study aims to

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5

Lei, Wenjie, Youyi Ruan, Ebru Bozdağ, et al. "Global adjoint tomography—model GLAD-M25." Geophysical Journal International 223, no. 1 (2020): 1–21. http://dx.doi.org/10.1093/gji/ggaa253.

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SUMMARY Building on global adjoint tomography model GLAD-M15, we present transversely isotropic global model GLAD-M25, which is the result of 10 quasi-Newton tomographic iterations with an earthquake database consisting of 1480 events in the magnitude range 5.5 ≤ Mw ≤ 7.2, an almost sixfold increase over the first-generation model. We calculated fully 3-D synthetic seismograms with a shortest period of 17 s based on a GPU-accelerated spectral-element wave propagation solver which accommodates effects due to 3-D anelastic crust and mantle structure, topography and bathymetry, the ocean load, el

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6

Wang, Yuchen, Nan Ding, Yu Zhang, Long Li, Xiaoyan Yang, and Qingzhi Zhao. "A New Approach of the Global Navigation Satellite System Tomography for Any Size of GNSS Network." Remote Sensing 12, no. 4 (2020): 617. http://dx.doi.org/10.3390/rs12040617.

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Global Navigation Satellite System (GNSS) tomography is a popular method for measuring and modelling water vapor in the troposphere. Presently, most studies use a cuboid-shaped tomographic region in their modelling, which represents the modelling region for all measurement epochs. This region is defined by the distribution of the GNSS signals skywards from a network of ground based GNSS stations for all epochs of measurements. However, in reality at each epoch the shape of the GNSS tomographic region is more likely to be an inverted cone. Unfortunately, this fixed conic tomographic region does

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7

Bozdağ, Ebru, Daniel Peter, Matthieu Lefebvre, et al. "Global adjoint tomography: first-generation model." Geophysical Journal International 207, no. 3 (2016): 1739–66. http://dx.doi.org/10.1093/gji/ggw356.

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8

Dziewonski, Adam M. "Global seismic tomography of the mantle." Reviews of Geophysics 33 (1995): 419. http://dx.doi.org/10.1029/95rg00738.

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9

Wen, Debao, Dengkui Mei, and Yanan Du. "Imaging the Three-Dimensional Ionospheric Structure with a Blob Basis Functional Ionospheric Tomography Model." Sensors 20, no. 8 (2020): 2182. http://dx.doi.org/10.3390/s20082182.

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A new ionospheric tomography model is presented in this work. In the new model, the traditional voxel basis function is replaced by the blob basis function. Due to the overlapping nature of their rotational symmetric basis functions, the new model introduces certain weighting from nearby tomographic spherical blobs. To confirm the feasibility of the new tomography model, a numerical simulation scheme is devised, and the simulation demonstrates that the reconstructed quality of the blob basis tomographic model is higher than that of the voxel basis tomographic model. Meanwhile, the variable blo

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10

Ruan, Youyi, Wenjie Lei, Ryan Modrak, Rıdvan Örsvuran, Ebru Bozdağ, and Jeroen Tromp. "Balancing unevenly distributed data in seismic tomography: a global adjoint tomography example." Geophysical Journal International 219, no. 2 (2019): 1225–36. http://dx.doi.org/10.1093/gji/ggz356.

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SUMMARY The uneven distribution of earthquakes and stations in seismic tomography leads to slower convergence of nonlinear inversions and spatial bias in inversion results. Including dense regional arrays, such as USArray or Hi-Net, in global tomography causes severe convergence and spatial bias problems, against which conventional pre-conditioning schemes are ineffective. To save computational cost and reduce model bias, we propose a new strategy based on a geographical weighting of sources and receivers. Unlike approaches based on ray density or the Voronoi tessellation, this method scales t

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11

Cyril Patrick Masalu, Desiderius. "Global Mid-Ocean Ridges Mantle Tomography Profiles." Earth Sciences 4, no. 2 (2015): 80. http://dx.doi.org/10.11648/j.earth.20150402.13.

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12

Zaroli, Christophe. "Global seismic tomography using Backus–Gilbert inversion." Geophysical Journal International 207, no. 2 (2016): 876–88. http://dx.doi.org/10.1093/gji/ggw315.

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13

Patella, Domenico. "Self‐potential global tomography including topographic effects." Geophysical Prospecting 45, no. 5 (1997): 843–63. http://dx.doi.org/10.1046/j.1365-2478.1997.570296.x.

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14

Patella, D. "Self-potential global tomography including topographic effects." Geophysical Prospecting 46, no. 1 (1998): 103. http://dx.doi.org/10.1046/j.1365-2478.1998.830318.x.

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15

Nishida, K., J. P. Montagner, and H. Kawakatsu. "Global Surface Wave Tomography Using Seismic Hum." Science 326, no. 5949 (2009): 112. http://dx.doi.org/10.1126/science.1176389.

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16

Liu, Lou, Zhang, Huang, Zhou, and Zhang. "On the Study of Influences of Different Factors on the Rapid Tropospheric Tomography." Remote Sensing 11, no. 13 (2019): 1545. http://dx.doi.org/10.3390/rs11131545.

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A rapid tropospheric tomography system was developed by using algebraicreconstruction technique. Influences of different factors on the tomographic results, including theground meteorological data, the multi-Global Navigation Satellite System (GNSS) observations, theground station distribution and the tomographic horizontal resolution, were systematicallyinvestigated. In order to exclude the impacts from discrepancies of water vapor informationbetween input observations and references on the tomographic results, the latest reanalysisproducts, ERA5, which were taken as references for result eva

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17

Tassiopoulou, Styliani, Georgia Koukiou, and Vassilis Anastassopoulos. "Algorithms in Tomography and Related Inverse Problems—A Review." Algorithms 17, no. 2 (2024): 71. http://dx.doi.org/10.3390/a17020071.

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In the ever-evolving landscape of tomographic imaging algorithms, this literature review explores a diverse array of themes shaping the field’s progress. It encompasses foundational principles, special innovative approaches, tomographic implementation algorithms, and applications of tomography in medicine, natural sciences, remote sensing, and seismology. This choice is to show off the diversity of tomographic applications and simultaneously the new trends in tomography in recent years. Accordingly, the evaluation of backprojection methods for breast tomographic reconstruction is highlighted.

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18

Trampert, J. "Global seismic tomography: the inverse problem and beyond." Inverse Problems 14, no. 3 (1998): 371–85. http://dx.doi.org/10.1088/0266-5611/14/3/002.

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19

van der Hilst, R. D., S. Widiyantoro, and E. R. Engdahl. "Evidence for deep mantle circulation from global tomography." Nature 386, no. 6625 (1997): 578–84. http://dx.doi.org/10.1038/386578a0.

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20

Zhou, Ying, F. A. Dahlen, Guust Nolet, and Gabi Laske. "Finite-frequency effects in global surface-wave tomography." Geophysical Journal International 163, no. 3 (2005): 1087–111. http://dx.doi.org/10.1111/j.1365-246x.2005.02780.x.

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21

Boschi, L., J. P. Ampuero, D. Peter, P. M. Mai, G. Soldati, and D. Giardini. "Petascale computing and resolution in global seismic tomography." Physics of the Earth and Planetary Interiors 163, no. 1-4 (2007): 245–50. http://dx.doi.org/10.1016/j.pepi.2007.02.011.

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22

Romanowicz, Barbara. "Global seismic tomography: Present status and future perspectives." Journal of the Acoustical Society of America 117, no. 4 (2005): 2431. http://dx.doi.org/10.1121/1.4786695.

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23

Yao, Yibin, Chen Liu, Chaoqian Xu, Yu Tan, and Mingshan Fang. "A Refined Tomographic Window for GNSS-Derived Water Vapor Tomography." Remote Sensing 12, no. 18 (2020): 2999. http://dx.doi.org/10.3390/rs12182999.

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Global navigation satellite system (GNSS) tomography can effectively sense the three-dimensional structure of tropospheric water vapor (WV) using the GNSS observations. Numerous studies have utilized a tomographic window to include more epochs of observations, which significantly increases the number of valid signals. However, considering the tomography grid limits, a massive number of valid signals inevitably exhibits linear dependence. This dependence makes it impossible to improve the rank score of the tomography coefficient matrix by blindly introducing a large number of valid rays. Furthe

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24

Heublein, Marion, Patrick Erik Bradley, and Stefan Hinz. "Observing geometry effects on a Global Navigation Satellite System (GNSS)-based water vapor tomography solved by least squares and by compressive sensing." Annales Geophysicae 38, no. 1 (2020): 179–89. http://dx.doi.org/10.5194/angeo-38-179-2020.

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Abstract. In this work, the effect of the observing geometry on the tomographic reconstruction quality of both a regularized least squares (LSQ) approach and a compressive sensing (CS) approach for water vapor tomography is compared based on synthetic Global Navigation Satellite System (GNSS) slant wet delay (SWD) estimates. In this context, the term “observing geometry” mainly refers to the number of GNSS sites situated within a specific study area subdivided into a certain number of volumetric pixels (voxels) and to the number of signal directions available at each GNSS site. The novelties o

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25

Coghill, Robert C., Christine N. Sang, Karen Faith Berman, Gary J. Bennett, and Michael J. Iadarola. "Global Cerebral Blood Flow Decreases during Pain." Journal of Cerebral Blood Flow & Metabolism 18, no. 2 (1998): 141–47. http://dx.doi.org/10.1097/00004647-199802000-00003.

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Positron emission tomography studies have identified a common set of brain regions activated by pain. No studies, however, have quantitatively examined pain-induced CBF changes. To better characterize CBF during pain, 14 subjects received positron emission tomography scans during rest, during capsaicin-evoked pain (250 μg, intradermal injection), and during innocuous vibration. Using the H215O intravenous bolus method with arterial blood sampling, global CBF changes were assessed quantitatively. Painful stimulation produced a 22.8% decrease in global CBF from resting levels ( P < 0.0005). T

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26

Galyavich, A. S., and A. Yu Rafikov. "Evaluation of the right ventricular ejection fraction according to multislice computed tomography in patients with pulmonary embolism." Kazan medical journal 96, no. 6 (2015): 901–5. http://dx.doi.org/10.17750/kmj2015-901.

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Aim. Evaluation of the global systolic function of the right ventricle according to multislice computed tomography in patients with pulmonary embolism. Methods. 37 people aged 31 to 75 years (20 women and 17 men, mean age 55±12 years) were examined. The study group included 15 patients without clinical or instrumental signs of congenital heart disease and myocardial infarction of the left and right ventricles, with signs of pulmonary embolism according to multislice computed tomography. The control group included 22 patients. Tomographic analysis of end-diastolic volume, ejection fractio

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27

Koren, Zvi, Igor Ravve, Gladys Gonzalez, and Dan Kosloff. "Anisotropic local tomography." GEOPHYSICS 73, no. 5 (2008): VE75—VE92. http://dx.doi.org/10.1190/1.2953979.

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Local tomography is interactive, ray-based, residual-interval-parameter analysis for updating background anisotropic velocity parameters. The method operates directly on image gathers generated by anisotropic curved-ray Kirchhoff time migration. A locally 1D, spatially varying, vertical transversely isotropic model is assumed. The background anisotropy parameters are the instantaneous (interval) vertical compression velocity [Formula: see text] and the two Thomsen anisotropy parameters, [Formula: see text] and [Formula: see text]. The interval velocity [Formula: see text] is updated from short

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28

Ritsema, Jeroen, and Vedran Lekić. "Heterogeneity of Seismic Wave Velocity in Earth's Mantle." Annual Review of Earth and Planetary Sciences 48, no. 1 (2020): 377–401. http://dx.doi.org/10.1146/annurev-earth-082119-065909.

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Seismology provides important constraints on the structure and dynamics of the deep mantle. Computational and methodological advances in the past two decades improved tomographic imaging of the mantle and revealed the fine-scale structure of plumes ascending from the core-mantle boundary region and slabs of oceanic lithosphere sinking into the lower mantle. We discuss the modeling aspects of global tomography including theoretical approximations, data selection, and model fidelity and resolution. Using spectral, principal component, and cluster analyses, we highlight the robust patterns of sei

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29

Wen, Debao, Dengkui Mei, and Yanan Du. "Adaptive Smoothness Constraint Ionospheric Tomography Algorithm." Sensors 20, no. 8 (2020): 2404. http://dx.doi.org/10.3390/s20082404.

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Ionospheric tomography reconstruction based on global navigation satellite system observations is usually an ill-posed problem. To resolve it, an adaptive smoothness constraint ionospheric tomography algorithm is proposed in this work. The new algorithm performs an adaptive adjustment for the constrained weight coefficients of the tomography system. The computational efficiency and the reconstructed quality of ionospheric imaging are improved by using the new algorithm. A numerical simulation experiment was conducted in order to validate the feasibility and superiority of the algorithm. The st

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30

Peter, D., C. Tape, L. Boschi, and J. H. Woodhouse. "Surface wave tomography: global membrane waves and adjoint methods." Geophysical Journal International 171, no. 3 (2007): 1098–117. http://dx.doi.org/10.1111/j.1365-246x.2007.03554.x.

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31

Valentine, Andrew P., and John H. Woodhouse. "Approaches to automated data selection for global seismic tomography." Geophysical Journal International 182, no. 2 (2010): 1001–12. http://dx.doi.org/10.1111/j.1365-246x.2010.04658.x.

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32

Gudmundsson, Olafur, and Robert W. Clayton. "A 2-D synthetic study of global traveltime tomography." Geophysical Journal International 106, no. 1 (1991): 53–65. http://dx.doi.org/10.1111/j.1365-246x.1991.tb04600.x.

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33

Montagner, Jean-Paul, and Toshiro Tanimoto. "Global upper mantle tomography of seismic velocities and anisotropies." Journal of Geophysical Research: Solid Earth 96, B12 (1991): 20337–51. http://dx.doi.org/10.1029/91jb01890.

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34

Spetzler, Jesper, and Jeannot Trampert. "Implementing spectral leakage corrections in global surface wave tomography." Geophysical Journal International 155, no. 2 (2003): 532–38. http://dx.doi.org/10.1046/j.1365-246x.2003.02079.x.

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35

Jeejeebhoy, Khursheed. "Subjective Global Assessment versus Sarcopenia Detected by Computed Tomography." Journal of Parenteral and Enteral Nutrition 39, no. 3 (2015): 271. http://dx.doi.org/10.1177/0148607114562887.

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36

Stark, Cyril Jakob. "Global Completability with Applications to Self-Consistent Quantum Tomography." Communications in Mathematical Physics 348, no. 1 (2016): 1–25. http://dx.doi.org/10.1007/s00220-016-2760-2.

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37

Ding, Nan, Xiangrong Yan, Shubi Zhang, et al. "Node-Based Optimization of GNSS Tomography with a Minimum Bounding Box Algorithm." Remote Sensing 12, no. 17 (2020): 2744. http://dx.doi.org/10.3390/rs12172744.

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Global Navigation Satellite Systems (GNSS) tomography plays an important role in the monitoring and tracking of the tropospheric water vapor. In this study, a new approach for improving the node-based GNSS tomography is proposed, which makes a trade-off between the real observed region and the complexity of the discretization of the tomographic region. To obtain dynamically the approximate observed region, the convex hull algorithm and minimum bounding box algorithm are used at each tomographic epoch. This new approach can dynamically define the tomographic model for all types of study areas b

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38

Herscovitch, Peter, Alexander P. Auchus, Mokhtar Gado, David Chi, and Marcus E. Raichle. "Correction of Positron Emission Tomography Data for Cerebral Atrophy." Journal of Cerebral Blood Flow & Metabolism 6, no. 1 (1986): 120–24. http://dx.doi.org/10.1038/jcbfm.1986.14.

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Because positron emission tomography (PET) provides measurements per unit volume of intracranial contents, these measurements may be affected by the inclusion of metabolically inactive CSF spaces in the volume in which they are made. Thus, PET measurements of CBF and metabolism may be artifactually lowered in normal aging and dementia, which are both associated with significant brain atrophy. We describe a method to correct global PET data, averaged over several tomographic slices, for cerebral atrophy by using measurements of CSF space volume obtained with quantitative x-ray computed tomograp

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39

Yang, Fei, Jiming Guo, Junbo Shi, Lv Zhou, Yi Xu, and Ming Chen. "A Method to Improve the Distribution of Observations in GNSS Water Vapor Tomography." Sensors 18, no. 8 (2018): 2526. http://dx.doi.org/10.3390/s18082526.

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Water vapor is an important driving factor in the related weather processes in the troposphere, and its temporal-spatial distribution and change are crucial to the formation of cloud and rainfall. Global Navigation Satellite System (GNSS) water vapor tomography, which can reconstruct the water vapor distribution using GNSS observation data, plays an increasingly important role in GNSS meteorology. In this paper, a method to improve the distribution of observations in GNSS water vapor tomography is proposed to overcome the problem of the relatively concentrated distribution of observations, ena

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40

Lang, Sabrina, Marco Dominietto, Philippe Cattin, Alexandra Ulmann-Schuler, Timm Weitkamp, and Bert Müller. "Global and local hard X-ray tomography of a centimeter-size tumor vessel tree." Journal of Synchrotron Radiation 19, no. 1 (2011): 114–25. http://dx.doi.org/10.1107/s0909049511046139.

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The visualization of the vascular network in tumors down to the smallest vessels requires high spatial resolution and reasonable contrast. Stained corrosion casts of the microvasculature network guarantee superior X-ray absorption contrast and highest reproduction fidelity. Tomography of a centimeter-size tumor, however, is unfeasible at the spatial resolution needed to reveal the smallest vessels. Therefore, local tomography has been performed to visualize the smallest capillaries within the region of interest. These three-dimensional data show the detailed morphology, but the reconstructed a

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41

Zhao, Qingzhi, Yibin Yao, and Wanqiang Yao. "Troposphere Water Vapour Tomography: A Horizontal Parameterised Approach." Remote Sensing 10, no. 8 (2018): 1241. http://dx.doi.org/10.3390/rs10081241.

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Global Navigation Satellite System (GNSS) troposphere tomography has become one of the most cost-effective means to obtain three-dimensional (3-d) image of the tropospheric water vapour field. Traditional methods divide the tomography area into a number of 3-d voxels and assume that the water vapour density at any voxel is a constant during the given period. However, such behaviour breaks the spatial continuity of water vapour density in a horizontal direction and the number of unknown parameters needing to be estimated is very large. This is the focus of the paper, which tries to reconstruct

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42

Ding, Nan, Shubi Zhang, Suqin Wu, Xiaoming Wang, Allison Kealy, and Kefei Zhang. "A new approach for GNSS tomography from a few GNSS stations." Atmospheric Measurement Techniques 11, no. 6 (2018): 3511–22. http://dx.doi.org/10.5194/amt-11-3511-2018.

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Abstract. The determination of the distribution of water vapor in the atmosphere plays an important role in the atmospheric monitoring. Global Navigation Satellite Systems (GNSS) tomography can be used to construct 3-D distribution of water vapor over the field covered by a GNSS network with high temporal and spatial resolutions. In current tomographic approaches, a pre-set fixed rectangular field that roughly covers the area of the distribution of the GNSS signals on the top plane of the tomographic field is commonly used for all tomographic epochs. Due to too many unknown parameters needing

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43

Tong, Laga, Kefei Zhang, Haobo Li, et al. "An Investigation of Near Real-Time Water Vapor Tomography Modeling Using Multi-Source Data." Atmosphere 13, no. 5 (2022): 752. http://dx.doi.org/10.3390/atmos13050752.

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Global Navigation Satellite Systems (GNSS) tomography is a well-recognized modeling technique for reconstruction, which can be used to investigate the spatial structure of water vapor with a high spatiotemporal resolution. In this study, a refined near real-time tomographic model is developed based on multi-source data including GNSS observations, Global Forecast System (GFS) products and surface meteorological data. The refined tomographic model is studied using data from Hong Kong from 2 to 11 October 2021. The result is compared with the traditional model with physical constraints and is va

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44

Goncalves, Doglas S., Marcia A. Gomes-Ruggiero, and Carlile Lavor. "Global convergence of diluted iterations in maximum-likelihood quantum tomography." Quantum Information and Computation 14, no. 11&12 (2014): 966–80. http://dx.doi.org/10.26421/qic14.11-12-5.

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In this paper we address convergence issues of the Diluted $R \rho R$ algorithm \cite{rehacek2007}, used to obtain the maximum likelihood estimate for the density matrix in quantum state tomography. We give a new interpretation to the diluted $R \rho R$ iterations that allows us to prove the global convergence under weaker assumptions. Thus, we propose a new algorithm which is globally convergent and suitable for practical implementation.

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45

de Viron, Olivier, Michel Van Camp, Alexia Grabkowiak, and Ana M. G. Ferreira. "Comparing global seismic tomography models using varimax principal component analysis." Solid Earth 12, no. 7 (2021): 1601–34. http://dx.doi.org/10.5194/se-12-1601-2021.

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Abstract. Global seismic tomography has greatly progressed in the past decades, with many global Earth models being produced by different research groups. Objective, statistical methods are crucial for the quantitative interpretation of the large amount of information encapsulated by the models and for unbiased model comparisons. Here we propose using a rotated version of principal component analysis (PCA) to compress the information in order to ease the geological interpretation and model comparison. The method generates between 7 and 15 principal components (PCs) for each of the seven tested

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46

Morozov, A. K., and D. C. Webb. "A sound projector for acoustic tomography and global ocean monitoring." IEEE Journal of Oceanic Engineering 28, no. 2 (2003): 174–85. http://dx.doi.org/10.1109/joe.2003.811888.

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47

Bijwaard, Harmen, Wim Spakman, and E. Robert Engdahl. "Closing the gap between regional and global travel time tomography." Journal of Geophysical Research: Solid Earth 103, B12 (1998): 30055–78. http://dx.doi.org/10.1029/98jb02467.

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48

Hosseini, Kasra, and Karin Sigloch. "Multifrequency measurements of core-diffractedPwaves (Pdiff) for global waveform tomography." Geophysical Journal International 203, no. 1 (2015): 506–21. http://dx.doi.org/10.1093/gji/ggv298.

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49

Liu, Kui, and Ying Zhou. "Global Rayleigh wave phase-velocity maps from finite-frequency tomography." Geophysical Journal International 205, no. 1 (2016): 51–66. http://dx.doi.org/10.1093/gji/ggv555.

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50

Lu, Chang, and Stephen P. Grand. "The effect of subducting slabs in global shear wave tomography." Geophysical Journal International 205, no. 2 (2016): 1074–85. http://dx.doi.org/10.1093/gji/ggw072.

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