Relevant bibliographies by topics / Global tomography

Academic literature on the topic 'Global tomography'

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Published: 10 March 2023

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Journal articles on the topic "Global tomography"

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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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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 (December 30, 2015): 1222–36. http://dx.doi.org/10.1093/gji/ggv516.

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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 (December 2002): ESE 4–1—ESE 4–13. http://dx.doi.org/10.1029/2002jb001777.

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Root, B. C. "Comparing global tomography-derived and gravity-based upper mantle density models." Geophysical Journal International 221, no. 3 (February 24, 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 assess and quantify the effect of regularization on a seismic tomography model by exploiting the high lateral sensitivity of gravity data. Seismic tomography models, SL2013sv, SAVANI, SMEAN2 and S40RTS are compared to a gravity-based density model of the upper mantle. In order to obtain similar density solutions compared to the seismic-derived models, the gravity-based model needs to be smoothed with a Gaussian filter. Different smoothening characteristics are observed for the variety of seismic tomography models, relating to the regularization approach in the inversions. Various S40RTS models with similar seismic data but different regularization settings show that the smoothening effect is stronger with increasing regularization. The type of regularization has a dominant effect on the final tomography solution. To reduce the effect of regularization on the tomography models, an enhancement procedure is proposed. This enhancement should be performed within the spectral domain of the actual resolution of the seismic tomography model. The enhanced seismic tomography models show improved spatial correlation with each other and with the gravity-based model. The variation of the density anomalies have similar peak-to-peak magnitudes and clear correlation to geological structures. The resolvement of the spectral misalignment between tomographic models and gravity-based solutions is the first step in the improvement of multidata inversion studies of the upper mantle and benefit from the advantages in both data sets.
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Lei, Wenjie, Youyi Ruan, Ebru Bozdağ, Daniel Peter, Matthieu Lefebvre, Dimitri Komatitsch, Jeroen Tromp, Judith Hill, Norbert Podhorszki, and David Pugmire. "Global adjoint tomography—model GLAD-M25." Geophysical Journal International 223, no. 1 (May 21, 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, ellipticity, rotation and self-gravitation. We used an adjoint-state method to calculate Fréchet derivatives in 3-D anelastic Earth models facilitated by a parsimonious storage algorithm. The simulations were performed on the Cray XK7 ‘Titan’ and the IBM Power 9 ‘Summit’ at the Oak Ridge Leadership Computing Facility. We quantitatively evaluated GLAD-M25 by assessing misfit reductions and traveltime anomaly histograms in 12 measurement categories. We performed similar assessments for a held-out data set consisting of 360 earthquakes, with results comparable to the actual inversion. We highlight the new model for a variety of plumes and subduction zones.
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Bozdağ, Ebru, Daniel Peter, Matthieu Lefebvre, Dimitri Komatitsch, Jeroen Tromp, Judith Hill, Norbert Podhorszki, and David Pugmire. "Global adjoint tomography: first-generation model." Geophysical Journal International 207, no. 3 (September 22, 2016): 1739–66. http://dx.doi.org/10.1093/gji/ggw356.

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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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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 (February 13, 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 not properly reflect the fact that the GNSS signal changes quickly over time. Therefore a dynamic or adaptive tomographic region is better suited. In this study, a new approach that adjusts the GNSS tomographic model to adapt the size of the GNSS network is proposed, which referred to as The High Flexibility GNSS Tomography (HFGT). Test data from different numbers of the GNSS stations are used and the results from HFGT are compared against that of radiosonde data (RS) to assess the accuracy of the HFGT approach. The results showed that the new approach is feasible for different numbers of the GNSS stations when a sufficient and uniformed distribution of GNSS signals is used. This is a novel approach for GNSS tomography.
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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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Zaroli, Christophe. "Global seismic tomography using Backus–Gilbert inversion." Geophysical Journal International 207, no. 2 (August 23, 2016): 876–88. http://dx.doi.org/10.1093/gji/ggw315.

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Dissertations / Theses on the topic "Global tomography"

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Liu, Kui. "Surface Wave Propagation and Global Crustal Tomography." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/25428.

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In this thesis, a finite-frequency theory is developed to calculate Born sensitivity kernels for Rayleigh-wave phase and amplitude measurements that are valid in regions near seismic stations. Calculations of sensitivity kernels for inter-station measurements show that exact travelling-wave representation of Green tensor is necessary when station spacing is close to or smaller than the seismic wavelength. This finite-frequency theory will allow us to take advantage of dense seismic arrays to obtain high-resolution surface-wave tomography using inter-station measurements. The non-linear dependence of surface wave phase upon large perturbations in crustal thickness as well as finite-frequency effects in global surface-wave tomography are investigated using wave propagation simulations. Calculations show that non-linearity as well as finite-frequency effects can be accounted for by using 2D phase-velocity kernels for boundary perturbations. A 3D-reference tomographic approach is developed for iterative inversions of global crustal structure where Frechet kernels are calculated in 3D reference models. A global dataset of minor-arc and major-arc Rayleigh wave dispersion measurements at periods between 25 seconds and 100 seconds are built and global phase velocity maps based on the dataset are obtained using diffractional tomography. The phase velocity model confirms many general features associated with surface tectonics including the ocean-continent dichotomy and the signature of lithospheric cooling in oceanic plates. There are significant differences between the phase velocity model and calculations based on a current global model CRUST2.0+S20RTS in oceanic regions, Archean and Proterozoic cratons as well as orogenic belts. In addition, the high resolution phase velocity maps reveal a major change in the distribution of small scale anomalies in the Pacific at different wave periods.
Ph. D.
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Carannante, Simona <1976&gt. "Multiresolution spherical wavelet analysis in global seismic tomography." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amsdottorato.unibo.it/871/1/Tesi_Carannante_Simona.pdf.

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Every seismic event produces seismic waves which travel throughout the Earth. Seismology is the science of interpreting measurements to derive information about the structure of the Earth. Seismic tomography is the most powerful tool for determination of 3D structure of deep Earth's interiors. Tomographic models obtained at the global and regional scales are an underlying tool for determination of geodynamical state of the Earth, showing evident correlation with other geophysical and geological characteristics. The global tomographic images of the Earth can be written as a linear combinations of basis functions from a specifically chosen set, defining the model parameterization. A number of different parameterizations are commonly seen in literature: seismic velocities in the Earth have been expressed, for example, as combinations of spherical harmonics or by means of the simpler characteristic functions of discrete cells. With this work we are interested to focus our attention on this aspect, evaluating a new type of parameterization, performed by means of wavelet functions. It is known from the classical Fourier theory that a signal can be expressed as the sum of a, possibly infinite, series of sines and cosines. This sum is often referred as a Fourier expansion. The big disadvantage of a Fourier expansion is that it has only frequency resolution and no time resolution. The Wavelet Analysis (or Wavelet Transform) is probably the most recent solution to overcome the shortcomings of Fourier analysis. The fundamental idea behind this innovative analysis is to study signal according to scale. Wavelets, in fact, are mathematical functions that cut up data into different frequency components, and then study each component with resolution matched to its scale, so they are especially useful in the analysis of non stationary process that contains multi-scale features, discontinuities and sharp strike. Wavelets are essentially used in two ways when they are applied in geophysical process or signals studies: 1) as a basis for representation or characterization of process; 2) as an integration kernel for analysis to extract information about the process. These two types of applications of wavelets in geophysical field, are object of study of this work. At the beginning we use the wavelets as basis to represent and resolve the Tomographic Inverse Problem. After a briefly introduction to seismic tomography theory, we assess the power of wavelet analysis in the representation of two different type of synthetic models; then we apply it to real data, obtaining surface wave phase velocity maps and evaluating its abilities by means of comparison with an other type of parametrization (i.e., block parametrization). For the second type of wavelet application we analyze the ability of Continuous Wavelet Transform in the spectral analysis, starting again with some synthetic tests to evaluate its sensibility and capability and then apply the same analysis to real data to obtain Local Correlation Maps between different model at same depth or between different profiles of the same model.
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Carannante, Simona <1976&gt. "Multiresolution spherical wavelet analysis in global seismic tomography." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amsdottorato.unibo.it/871/.

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Every seismic event produces seismic waves which travel throughout the Earth. Seismology is the science of interpreting measurements to derive information about the structure of the Earth. Seismic tomography is the most powerful tool for determination of 3D structure of deep Earth's interiors. Tomographic models obtained at the global and regional scales are an underlying tool for determination of geodynamical state of the Earth, showing evident correlation with other geophysical and geological characteristics. The global tomographic images of the Earth can be written as a linear combinations of basis functions from a specifically chosen set, defining the model parameterization. A number of different parameterizations are commonly seen in literature: seismic velocities in the Earth have been expressed, for example, as combinations of spherical harmonics or by means of the simpler characteristic functions of discrete cells. With this work we are interested to focus our attention on this aspect, evaluating a new type of parameterization, performed by means of wavelet functions. It is known from the classical Fourier theory that a signal can be expressed as the sum of a, possibly infinite, series of sines and cosines. This sum is often referred as a Fourier expansion. The big disadvantage of a Fourier expansion is that it has only frequency resolution and no time resolution. The Wavelet Analysis (or Wavelet Transform) is probably the most recent solution to overcome the shortcomings of Fourier analysis. The fundamental idea behind this innovative analysis is to study signal according to scale. Wavelets, in fact, are mathematical functions that cut up data into different frequency components, and then study each component with resolution matched to its scale, so they are especially useful in the analysis of non stationary process that contains multi-scale features, discontinuities and sharp strike. Wavelets are essentially used in two ways when they are applied in geophysical process or signals studies: 1) as a basis for representation or characterization of process; 2) as an integration kernel for analysis to extract information about the process. These two types of applications of wavelets in geophysical field, are object of study of this work. At the beginning we use the wavelets as basis to represent and resolve the Tomographic Inverse Problem. After a briefly introduction to seismic tomography theory, we assess the power of wavelet analysis in the representation of two different type of synthetic models; then we apply it to real data, obtaining surface wave phase velocity maps and evaluating its abilities by means of comparison with an other type of parametrization (i.e., block parametrization). For the second type of wavelet application we analyze the ability of Continuous Wavelet Transform in the spectral analysis, starting again with some synthetic tests to evaluate its sensibility and capability and then apply the same analysis to real data to obtain Local Correlation Maps between different model at same depth or between different profiles of the same model.
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Valentine, Andrew P. "Imaging the Earth : Methods and algorithms for global seismic tomography." Thesis, University of Oxford, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.533890.

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Zaroli, Christophe. "Global multiple-frequency S-wave tomography of the Earth’s mantle." Strasbourg, 2010. https://publication-theses.unistra.fr/public/theses_doctorat/2010/ZAROLI_Christophe_2010.pdf.

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Afin de mieux contraindre la structure interne de la Terre, de nouveaux développements théoriques, sur la propagation des ondes, ont émergé ces dernières années. Une de ces nouvelles méthodes est la tomographie multi-fréquences, qui vise à exploiter la dépendance en fréquence des temps de parcours des ondes de volume, liée aux effets de diffraction. En utilisant cette méthode, cette thèse a pour objectif d'obtenir un modèle tomographique 3-D du manteau en ondes de cisaillement à ``haute-résolution'', qui puisse contribuer à améliorer nos connaissances sur la dynamique de la Terre
For better constraining the structure of the Earth's interior, new theoretical developments on seismic wave propagation have emerged in recent years, and received increasing attention in tomography. One of these new methods is the multiple-frequency tomography, which aims at exploiting the frequency-dependency of body wave travel times related to diffraction effects. In this thesis, we have applied this method in order to obtain a ``high-resolution'' 3-D shear-wave tomographic model of the mantle, that could contribute to a better understanding of the Earth's dynamics
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Sayeed, Abdul. "Positron emission tomography analysis of Alzheimer's disease." Thesis, University of Surrey, 2001. http://epubs.surrey.ac.uk/842834/.

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Alzheimer's Disease (AD) is a major concern for the elderly population, currently affecting over 670,000 people in the UK. With the continual increase in the age of the population the problem is expected to rise. There is no known cure to the condition and a definite diagnosis cannot be made in life. Clinical diagnosis is considered to be approximately 80% - 90% accurate, sometimes taking up to a year to assess. Early detection could aid in the care and possible development of better treatments or even a cure. AD has been shown to alter the structure and global texture of the brain. Studies using Magnetic Resonance imaging (MRI) and Computerised Tomography (CT) have been used to detect these changes with some success by some researchers. Positron Emission Tomography (PET) imaging is a functional imaging modality and in theory before structural changes are evident functional changes should be apparent. Therefore we utilise PET images for this study. This thesis will exploit the fact that AD alters the global texture of the brain. Texture features extracted from fluoro-deoxy-glucose (FDG) PET images and sinograms of the brain will be used. Most texture feature extraction methods fail, due to poor signal to noise ratio so we will use a novel texture feature extraction method known as the Trace transform - triple features, which can extract features directly from raw data acquired by PET scanners. Classifiers will be used to aid in the separation of the two groups, namely AD patients and normal controls. The Trace transform - triple feature method has proven its potential as a good feature extraction technique. It enabled us to achieve classification accuracy of up to 93% on raw sinogram data using a combination of five features. This result is very good compared with the clinical accuracy of 80% reported by most researcher. It is comparable to results obtained by Kippenhan et al [52, 53, 51, 50], who used regional metabolic activity using PET and a neural network classifier. Monomial features extracted from images achieved accuracies as high as 87%. These features are good discriminators, however, they suffer from lack of scaling invariance. This is problematic as brain sizes do vary considerably. The use of registration and extraction of regional information failed to produce fruitful results. This is principally due to poor registration. The registration failed primarily because a very small cross section of the brain was available. Also the effect of AD alters the structure of the brain. Since the registration relies on matching structure, it becomes questionable whether one can actually register automatically a very degraded AD brain. Gender and age are crucial to the progress of Alzheimer's disease. Age and gender matching is not sufficient to get the best results. This thesis has shown that performance gains of up to 11% can be attained by simply incorporating age and/or gender into the classification model. However, the maximum classification accuracy was not improved any further.
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Cruz, Serrallés José E. (José Enrique). "Global Maxwell Tomography : inverse scattering via magnetic resonance and volume integral equations." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/112826.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 93-95).
This thesis describes the development of Global Maxwell Tomography, a global inverse scattering algorithm. This algorithm is based on Volume Integral Equation formulations and operates on Magnetic Resonance data. The algorithm is framed as an optimization problem with box constraints, whereby guesses of material properties are successfully refined until convergence criteria have been met. The algorithm is assessed with a number of numerical examples, and future steps and improvements are proposed herein.
by José E. Cruz Serrallés.
M. Eng.
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Katamzi, Zama Thobeka. "Verification of Ionospheric tomography using MIDAS over Grahamstown, South Africa." Thesis, Rhodes University, 2008. http://hdl.handle.net/10962/d1005283.

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Global Positioning System (GPS) satellites and receivers are used to derive total electron content (TEC) from the time delay and phase advance of the radiowaves as they travels through the ionosphere. TEC is defined as the integralof the electron density along the satellite-receiver signal path. Electron densityprofiles can be determined from these TEC values using ionospheric tomographic inversion techniques such as Multi-Instrument Data Analysis System (MIDAS).This thesis reports on a study aimed at evaluating the suitability of ionospheric tomography as a tool to derive one-dimensional electron density profiles, using the MIDAS inversion algorithm over Grahamstown, South Africa (33.30◦S, 26.50◦E). The evaluation was done by using ionosonde data from the Louisvale (28.50◦S, 21.20◦E) and Madimbo (22.40◦S, 30.90◦E) stations to create empirical orthonormal functions (EOFs). These EOFs were used by MIDAS in the inversion process to describe the vertical variation of the electron density. Profiles derived from the MIDAS algorithm were compared with profiles obtained from the international Reference Ionosphere (IRI) 2001 model and with ionosonde profiles from the Grahamstown ionosonde station. The optimised MIDAS profiles show a good agreement with the Grahamstown ionosonde profiles. The South African Bottomside Ionospheric Model (SABIM) was used to set the limits within which MIDAS was producing accurate peak electron density (NmF2) values and to define accuracy in this project, with the understanding that the national model (SABIM) is currently the best model for the Grahamstown region. Analysis show that MIDAS produces accurate results during the winter season, which had the lowest root mean square (rms) error of 0.37×1011[e/m3] and an approximately 86% chance of producing NmF2 closer to the actual NmF2 value than the national model SABIM. MIDAS was found to also produce accurate NmF2 values at 12h00 UT, where an approximately 88% chance of producing an accurate NmF2 value, which may deviate from the measured value by 0.72×1011[e/m3], was determined. In conclusion, ionospheric tomographic inversion techniques show promise in the reconstruction of electron density profiles over South Africa, and are worth pursuing further in the future.
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Hosseini, Kasra [Verfasser], and Heiner [Akademischer Betreuer] Igel. "Global multiple-frequency seismic tomography using teleseismic and core-diffracted body waves / Kasra Hosseini. Betreuer: Heiner Igel." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2016. http://d-nb.info/1106854594/34.

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Johnson, Stuart G. "Applications of global seismic tomography and analysis of variational methods for the solution of the linearly attenuating frequency domain wave equation /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1997. http://wwwlib.umi.com/cr/ucsd/fullcit?p9823696.

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Books on the topic "Global tomography"

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1945-, Nolet Guust, ed. Seismic tomography: With applications in global seismology and exploration geophysics. Dordrecht, Holland: D. Reidel, 1987.

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Bijwaard, Harmen. Seismic travel-time tomography for detailed global mantle structure =: Seismische reistijdentomografie voor gedetailleerde globale mantelstructuur. [Utrecht]: Faculteit Aardwetenschappen, Universiteit Utrecht, 1999.

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Bijwaard, Harmen. Seismic travel-time tomography for detailed global mantle structure =: Seismische reistijdentomografie voor gedetailleerde globale mantelstructuur. [Utrecht]: Faculteit Aardwetenschappen, Universiteit Utrecht, 1999.

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Perler, Donat. Water vapor tomography using global navigation satellite systems. Zürich: Schweizerische Geodätische Kommission, 2012.

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1949-, Karato Shun-ichiro, and American Geophysical Union, eds. Earth's deep interior: Mineral physics and tomography from the atomic to the global scale. Washington, D.C: American Geophysical Union, 2000.

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Karato, Shun-ichiro, Alessandro Forte, Robert Liebermann, Guy Masters, and Lars Stixrude, eds. Earth's Deep Interior: Mineral Physics and Tomography From the Atomic to the Global Scale. Washington, D. C.: American Geophysical Union, 2000. http://dx.doi.org/10.1029/gm117.

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W, Engl Heinz, Louis Alfred Karl 1949-, Rundell William, and Conference on Inverse Problems in Medical Imaging and Nondestructive Testing (1996 : Mathematisches Forschungsinstitut Oberwolfach), eds. Inverse problems in medical imaging and nondestructive testing. Wien: Springer, 1997.

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Noghanian, Sima, Abas Sabouni, Travis Desell, and Ali Ashtari. Microwave Tomography: Global Optimization, Parallelization and Performance Evaluation. Springer, 2014.

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Noghanian, Sima, Abas Sabouni, Travis Desell, and Ali Ashtari. Microwave Tomography: Global Optimization, Parallelization and Performance Evaluation. Springer, 2014.

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Noghanian, Sima, Abas Sabouni, Travis Desell, and Ali Ashtari. Microwave Tomography: Global Optimization, Parallelization and Performance Evaluation. Springer New York, 2016.

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Book chapters on the topic "Global tomography"

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Faridani, A., F. Keinert, F. Natterer, E. L. Ritman, and K. T. Smith. "Local and Global Tomography." In Signal Processing, 241–55. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4684-7095-6_11.

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Zhao, Dapeng. "Global Tomography and Deep Earth Dynamics." In Multiscale Seismic Tomography, 215–68. Tokyo: Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55360-1_7.

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Noghanian, Sima, Abas Sabouni, Travis Desell, and Ali Ashtari. "Global Optimization: Differential Evolution, Genetic Algorithms, Particle Swarm, and Hybrid Methods." In Microwave Tomography, 39–61. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0752-6_3.

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Tuniz, Claudio, and Franco Zanini. "Microcomputerized Tomography (MicroCT) in Archaeology." In Encyclopedia of Global Archaeology, 7123–30. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30018-0_675.

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Tuniz, Claudio, and Franco Zanini. "Microcomputerized Tomography (MicroCT) in Archaeology." In Encyclopedia of Global Archaeology, 1–7. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-51726-1_675-2.

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Tuniz, Claudio, and Franco Zanini. "Microcomputerized Tomography (MicroCT) in Archaeology." In Encyclopedia of Global Archaeology, 4878–84. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4419-0465-2_675.

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Mang, Thomas, Patricia Carrascosa, Philippe Lefere, Tanya Chawla, Mehdi Cadi, Patrick Rogalla, Martina Morrin, et al. "Global Implementation of Computed Tomography Colonography." In Atlas of Virtual Colonoscopy, 9–53. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-5852-5_2.

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Trampert, Jeannot, and Robert D. van der Hilst. "Towards a quantitative interpretation of global seismic tomography." In Earth's Deep Mantle: Structure, Composition, and Evolution, 47–62. Washington, D. C.: American Geophysical Union, 2005. http://dx.doi.org/10.1029/160gm05.

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Anderson, Don L. "Global mapping of the uppermantle by surface wave tomography." In Composition, Structure and Dynamics of the Lithosphere‐Asthenosphere System, 89–97. Washington, D. C.: American Geophysical Union, 1987. http://dx.doi.org/10.1029/gd016p0089.

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Romanowicz, Barbara. "Attenuation Tomography of the Earth’s Mantle: A Review of Current Status." In Q of the Earth: Global, Regional, and Laboratory Studies, 257–72. Basel: Birkhäuser Basel, 1998. http://dx.doi.org/10.1007/978-3-0348-8711-3_3.

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Conference papers on the topic "Global tomography"

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Trampert, J. "Global surface wave tomography." In 71st EAGE Conference and Exhibition - Workshops and Fieldtrips. European Association of Geoscientists & Engineers, 2009. http://dx.doi.org/10.3997/2214-4609.201404905.

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Jensen, Mikkel, Niels M. Israelsen, Ole Bang, and Adrian Podoleanu. "Phase estimation for global defocus correction in optical coherence tomography." In Second Canterbury Conference on Optical Coherence Tomography, edited by Ole Bang and Adrian Podoleanu. SPIE, 2018. http://dx.doi.org/10.1117/12.2292547.

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Firooz, Mohammad H., and Sumit Roy. "Network Tomography via Compressed Sensing." In GLOBECOM 2010 - 2010 IEEE Global Communications Conference. IEEE, 2010. http://dx.doi.org/10.1109/glocom.2010.5684036.

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Ibraheem, Amani, Zhengguo Sheng, George Parisis, and Daxin Tian. "In-Vehicle Network Delay Tomography." In GLOBECOM 2022 - 2022 IEEE Global Communications Conference. IEEE, 2022. http://dx.doi.org/10.1109/globecom48099.2022.10001499.

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Viswanath, M., R. Seetharaman, and D. Nedumaran. "Electrical Impedance Tomography - Differential Solutions." In 2019 IEEE 5th Global Electromagnetic Compatibility Conference (GEMCCON). IEEE, 2019. http://dx.doi.org/10.1109/gemccon48223.2019.9132819.

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Koren, Zvi, Igor Ravve, and Dan Kosloff. "Curved rays anisotropic tomography: Local and global approaches." In SEG Technical Program Expanded Abstracts 2006. Society of Exploration Geophysicists, 2006. http://dx.doi.org/10.1190/1.2370233.

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Soudani, A., F. Adler, B. Duquet, and P. Jousselin. "Revisiting PSDM Workflows Using Global Multi-scenario Traveltime Tomography." In 70th EAGE Conference and Exhibition - Workshops and Fieldtrips. European Association of Geoscientists & Engineers, 2008. http://dx.doi.org/10.3997/2214-4609.20147700.

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Khajehnejad, M. A., A. Khojastepour, and B. Hassibi. "Compressed Network Tomography for Probabilistic Tree Mixture Models." In 2011 IEEE Global Communications Conference (GLOBECOM 2011). IEEE, 2011. http://dx.doi.org/10.1109/glocom.2011.6133853.

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Gjoka, Minas, Christina Fragouli, Pegah Sattari, and Athina Markopoulou. "Loss Tomography in General Topologies with Network Coding." In IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference. IEEE, 2007. http://dx.doi.org/10.1109/glocom.2007.78.

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Tavakoli, Behnoosh, and Quing Zhu. "Solving Inverse Problem of Diffuse Optical Tomography with Global Optimization." In Biomedical Optics. Washington, D.C.: OSA, 2012. http://dx.doi.org/10.1364/biomed.2012.bsu3a.86.

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Reports on the topic "Global tomography"

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Wallace, T., D. MacEnany, D. Papadopoulos, and R. Singerman. Global Ground Tomography. Fort Belvoir, VA: Defense Technical Information Center, December 1997. http://dx.doi.org/10.21236/ada360057.

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Wallace, T., D. MacEnany, and D. Papadopoulos. Global Ground Tomography. Fort Belvoir, VA: Defense Technical Information Center, July 1999. http://dx.doi.org/10.21236/ada378085.

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Simmons, N., C. Morency, A. Chiang, and S. Myers. Report on the LLNL Global Seismic Waveform Tomography Modeling Project. Office of Scientific and Technical Information (OSTI), August 2022. http://dx.doi.org/10.2172/1886132.

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Zhang, Chunxi, Fangfang Xie, Runchang Li, Ningxin Cui, and Jiayuan Sun. Robotic-assisted bronchoscopy for the diagnosis of peripheral pulmonary lesions: A systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, September 2022. http://dx.doi.org/10.37766/inplasy2022.9.0115.

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Abstract:
Review question / Objective: What is the overall diagnostic yield and complication rate of robotic-assisted bronchoscopy for peripheral pulmonary lesions? Condition being studied: Many of peripheral pulmonary lesions (PPLs) may represent early-stage lung cancer. Lung cancer is the leading cause of cancer mortality globally. Early diagnosis and treatment of lung cancer are crucial for a better prognosis. With the widespread use of low-dose computed tomography (LDCT), the detection rate of PPLs is increasing. As a result, the number of PPLs requiring biopsy is progressively increasing. Transbronchial lung biopsy (TBLB) and transthoracic needle aspiration (TTNA) are the main modalities of non-surgical biopsy for PPLs. TTNA has a diagnostic yield of 90%, however, it also has a pneumothorax rate of 25%. Since TBLB avoids destroying the structure of normal pleura and lung tissue, the incidence of complications is lower. Unfortunately, traditional flexible bronchoscopy has a modest sensitivity of 34% and 63% for lesions 2 cm, respectively. The advent of guided bronchoscopy has increased the diagnostic yield to 70%. However, there is still a gap in diagnostic yield compared with TTNA. The advent of robotic-assisted bronchoscopy (RAB) is expected to further improve the diagnostic yield of TBLB for PPLs. However, the diagnostic performance of RAB for PPLs has not reached a consensus.
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