Thematische Bibliographien / Transport imaging

Auswahl der wissenschaftlichen Literatur zum Thema „Transport imaging“

Autor: Grafiati
Veröffentlicht am 4. Juni 2021
Zuletzt aktualisiert am 1. Februar 2022

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Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Zeitschriftenartikel zum Thema "Transport imaging":

1

Bron, W. E., A. Guerra und C. Suárez. „Imaging through quasi-particle transport“. Optics Letters 21, Nr. 13 (01.07.1996): 997. http://dx.doi.org/10.1364/ol.21.000997.

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2

Engquist, Bjorn, und Yunan Yang. „Seismic imaging and optimal transport“. Communications in Information and Systems 19, Nr. 2 (2019): 95–145. http://dx.doi.org/10.4310/cis.2019.v19.n2.a1.

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Engquist, Bjorn, und Yunan Yang. „Seismic Imaging and Optimal Transport“. Notices of the International Congress of Chinese Mathematicians 8, Nr. 1 (2020): 27–49. http://dx.doi.org/10.4310/iccm.2020.v8.n1.a3.

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4

Osváth, Szabolcs, Levente Herényi, Gergely Agócs, Katalin Kis Petik und Miklós S. Z. Kellermayer. „Transport Imaging of Living Cells“. Biophysical Journal 110, Nr. 3 (Februar 2016): 597a. http://dx.doi.org/10.1016/j.bpj.2015.11.3190.

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5

Komuro, Koshi, Yuya Yamazaki und Takanori Nomura. „Transport-of-intensity computational ghost imaging“. Applied Optics 57, Nr. 16 (23.05.2018): 4451. http://dx.doi.org/10.1364/ao.57.004451.

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Bal, Guillaume, und Kui Ren. „Transport-Based Imaging in Random Media“. SIAM Journal on Applied Mathematics 68, Nr. 6 (Januar 2008): 1738–62. http://dx.doi.org/10.1137/070690122.

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Chung, Francis J., und John C. Schotland. „Inverse Transport and Acousto-Optic Imaging“. SIAM Journal on Mathematical Analysis 49, Nr. 6 (Januar 2017): 4704–21. http://dx.doi.org/10.1137/16m1104767.

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8

Haegel, N. M., J. D. Fabbri und M. P. Coleman. „Direct transport imaging in planar structures“. Applied Physics Letters 84, Nr. 8 (23.02.2004): 1329–31. http://dx.doi.org/10.1063/1.1650544.

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9

Li, Su, Peichi C. Hu und Noah Malmstadt. „Imaging Molecular Transport across Lipid Bilayers“. Biophysical Journal 101, Nr. 3 (August 2011): 700–708. http://dx.doi.org/10.1016/j.bpj.2011.06.044.

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10

Wolfe, J. P. „Imaging of excitonic transport in semiconductors“. Journal of Luminescence 53, Nr. 1-6 (Juli 1992): 327–34. http://dx.doi.org/10.1016/0022-2313(92)90166-7.

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Zeitschriftenartikel Dissertationen Bücher

Dissertationen zum Thema "Transport imaging":

1

Norris, David G. „Diffusion imaging of the brain“. Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-196833.

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This chapter presents a brief introduction to the application of diffusion-weighted magnetic resonance imaging (MRI) to in vivo studies. Diffusion-weighted MRI has found application both in the clinic, and in basic neuroscience. In the former situation it is primarily used for the detection of brain lesions, in particular infarcted regions. The ability to follow fibre tracts in white matter via diffusion tensor imaging has also made this methodology of interest to the neurosurgeon wishing to avoid severance of essential fibre tracts, but also of interest to the cognitive neuroscientist exploring anatomical connectivity in the brain. The chapter starts with a brief recap of the theory of diffusionweighted MRI and moves on to examine the two major experimental confounds, eddy currents and bulk motion. Current correction schemes for these problems are touched upon. Diffusion anisotropy is introduced as a potential source of artefacts for lesion detection in white matter, and the diffusion tensor model presented. The chapter concludes with a short introduction to fibre tracking.
2

Böhm, Andreas. „Imaging of light induced carrier transport“. [S.l. : s.n.], 2002. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB9820898.

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Winchell, Stephen D. „Transport imaging in the one dimensional limit“. Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Jun%5FWinchell.pdf.

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Lock, John George. „Dynamic imaging of post-Golgi protein transport /“. [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe19397.pdf.

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Waller, Laura A. (Laura Ann). „Computational phase imaging based on intensity transport“. Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/60821.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 133-150).
Light is a wave, having both an amplitude and a phase. However, optical frequencies are too high to allow direct detection of phase; thus, our eyes and cameras see only real values - intensity. Phase carries important information about a wavefront and is often used for visualization of biological samples, density distributions and surface profiles. This thesis develops new methods for imaging phase and amplitude from multi-dimensional intensity measurements. Tomographic phase imaging of diffusion distributions is described for the application of water content measurement in an operating fuel cell. Only two projection angles are used to detect and localize large changes in membrane humidity. Next, several extensions of the Transport of Intensity technique are presented. Higher order axial derivatives are suggested as a method for correcting nonlinearity, thus improving range and accuracy. To deal with noisy images, complex Kalman filtering theory is proposed as a versatile tool for complex-field estimation. These two methods use many defocused images to recover phase and amplitude. The next technique presented is a single-shot quantitative phase imaging method which uses chromatic aberration as the contrast mechanism. Finally, a novel single-shot complex-field technique is presented in the context of a Volume Holographic Microscopy (VHM). All of these techniques are in the realm of computational imaging, whereby the imaging system and post-processing are designed in parallel.
by Laura A. Waller.
Ph.D.
6

Bos, Kevin J., K. Gordon Wilson und Benedict Newling. „Velocity-sensitised Magnetic Resonance Imaging of foams“. Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-184242.

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Although flowing foams are used in a variety of technologies, foam rheology is still incompletely understood. In this paper we demonstrate the use of a velocity-sensitised magnetic resonance imaging (MRI) sequence for the study of flowing foam. We employ a constant-time (pure phase encode) imaging technique, SPRITE, which is immune to geometrical distortions caused by the foam-induced magnetic field inhomogeneity. The sample magnetisation is prepared before the SPRITE imaging with the Cotts 13-interval motion-sensitisation sequence, which is also insensitive to the effects of the foam heterogeneity. We measure the development of a power-law velocity profile in the foam downstream of a Venturi constriction (in which the cross-section of the tube decreases by 89% in area) in a vertical, cylindrical pipe.
7

Maximov, Ivan I., Farida Grinberg und Nadim Jon Shah. „Robust estimator framework in diffusion tensor imaging“. Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-184368.

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Diffusion of water molecules in the human brain tissue has strong similarities with diffusion in porous media. It is affected by different factors such as restrictions and compartmentalization, interaction with membrane walls, strong anisotropy imposed by cellular microstructure, etc. However, multiple artefacts abound in in vivo measurements either from subject motions, such as cardiac pulsation, bulk head motion, respiratory motion, and involuntary tics and tremor, or hardware related problems, such as table vibrations, etc. All these artefacts can substantially degrade the resulting images and render postprocessing diffusion analysis difficult or even impossible. In order to overcome these problems, we have developed a robust and efficient approach based on the least trimmed squares algorithm that works well with severely degraded datasets with low signal-to-noise ratio. This approach has been compared with other diffusion imaging post-processing algorithms using simulations and in vivo experiments. We demonstrate that the least trimmed squares algorithm can be easily adopted for multiple non-Gaussian diffusion models such as the biexponential model. The developed approach is shown to exhibit a high efficiency and accuracy and can, in principle, be exploited in other diffusion studies where artefact/outlier suppression is demanded.
8

Salameh, Wassim, Sébastien Leclerc, Didier Stemmelen und Jean-Marie Escanyé. „NMR imaging of water flow in packed beds“. Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-186395.

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Measurements by magnetic resonance imaging (MRI) of water flow within granular porous media are presented in this study. Our goal was not only to obtain visualizations of velocity field in porous media but rather to make accurate measurements of interstitial and averaged velocities in bead packs. Two situations were examined: the first for a packed bed with a large beads diameter where it was possible to visualize the interstitial velocities and the second with a packed bed with a small beads diameter where only averaged interstitial velocities were measured.
9

Steele, Gary Alexander. „Imaging transport resonances in the quantum Hall effect“. Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/34401.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Physics, 2006.
MIT Institute Archives copy: p. 201-231 bound in reverse order.
Includes bibliographical references (p. 213-231).
We image charge transport in the quantum Hall effect using a scanning charge accumulation microscope. Applying a DC bias voltage to the tip induces a highly resistive ring-shaped incompressible strip (IS) in a very high mobility 2D electron system (2DES). The IS moves with the tip as it is scanned, and acts as a barrier that prevents charging of the region under the tip. At certain tip positions, short-range disorder in the 2DES creates a quantum dot island inside the IS that enables breaching of the IS barrier by means of resonant tunneling through the island. Striking ring shapes appear in the images that directly reflect the shape of the IS created in the 2DES by the tip. Through the measurements of leakage across the IS, we extract information about energy gaps in the quantum Hall system. Varying the magnetic field, the tunneling resistance of the IS varies significantly, and takes on drastically different values at different filling factors. Measuring this tunneling resistance provides a unique microscopic probe of energy gaps in the quantum Hall system. Simulations of the interaction of the tip with the quantum Hall liquid show that native disorder from remote ionized donors can create the islands. The simulations predict the shape of the IS created in the 2DES in the presence of disorder, and comparison of the images with simulation results provides a direct and quantitative view of the disorder potential of a very high mobility 2DES. We also draw a connection to bulk transport. At quantum Hall plateaus, electrons in the bulk are localized by a network of ISs.
We have observed that the conductance across one IS is drastically enhanced by resonant tunneling through quantum dot islands. Similarly, this resonant tunneling process will dramatically enhance the conductance of certain hopping paths in the localized bulk and could play an important role in dissipative transport at quantum Hall plateaus.
by Gary Alexander Steele.
Ph.D.
10

Dean, Ryan J., Timothy Stait-Gardner, Simon J. Clarke, Suzy Y. Rogiers und William S. Pricea. „Diffusion Tensor Imaging (DTI) studies of the grape berry“. Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-184852.

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Bücher zum Thema "Transport imaging":

1

International Workshop on Mathematical Methods in Emerging Modalities of Medical Imaging (2009 Banff, Alta.). Tomography and inverse transport theory: International Workshop on Mathematical Methods in Emerging Modalities of Medical Imaging, October 25-30, 2009, Banff, Canada : International Workshop on Inverse Transport Theory and Tomography, May 16-21, 2010, Banff, Canada. Herausgegeben von Bal Guillaume 1970- und International Workshop on Inverse Transport Theory and Tomography (2009 : Banff, Alta.). Providence, R.I: American Mathematical Society, 2011.

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2

Imaging in transport processes. New York: Begell House, 1993.

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3

Landesberg, Amir. Visualization and Imaging in Transport Phenomena. New York Academy of Sciences, 2002.

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4

Imaging Transport: Optical Measurements of Diffusion and Drift in Semiconductor Materials and Devices. Storming Media, 2004.

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5

Visualization and Imaging in Transport Phenomena (Annals of the New York Academy of Sciences). New York Academy of Sciences, 2003.

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6

Pineda, Jesús, und Nathalie Reyns, Hrsg. Larval Transport in the Coastal Zone: Biological and Physical Processes. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198786962.003.0011.

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Larval transport is fundamental to several ecological processes, yet it remains unresolved for the majority of systems. We define larval transport, and describe its components, namely, larval behavior and the physical transport mechanisms accounting for advection, diffusion, and their variability. We then discuss other relevant processes in larval transport, including swimming proficiency, larval duration, accumulation in propagating features, episodic larval transport, and patchiness and spatial variability in larval abundance. We address challenges and recent approaches associated with understanding larval transport, including autonomous sampling, imaging, -omics, and the exponential growth in the use of poorly tested numerical simulation models to examine larval transport and population connectivity. Thus, we discuss the promises and pitfalls of numerical modeling, concluding with recommendations on moving forward, including a need for more process-oriented understanding of the mechanisms of larval transport and the use of emergent technologies.
7

Nmr Methods For The Investigation Of Structure And Transport. Springer, 2011.

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8

F, Brennan K., Summers C. J und United States. National Aeronautics and Space Administration., Hrsg. An acoustic charge transport imager for high definition television applications. Atlanta, Ga: Georgia Institute of Technology, 1993.

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F, Brennan K., Summers C. J und United States. National Aeronautics and Space Administration., Hrsg. An acoustic charge transport imager for high definition television applications. Atlanta, Ga: Georgia Institute of Technology, 1993.

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F, Brennan K., Summers C. J und United States. National Aeronautics and Space Administration., Hrsg. An acoustic charge transport imager for high definition television applications. Atlanta, Ga: Georgia Institute of Technology, 1993.

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Buchteile zum Thema "Transport imaging":

1

Blümich, Bernhard. „Imaging and Transport“. In Essential NMR, 73–109. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10704-8_4.

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2

Anikonov, D. S., A. E. Kovtanyuk und I. V. Prokhorov. „Tomography Through the Transport Equation“. In Computational Radiology and Imaging, 33–44. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1550-9_3.

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Celotta, Robert J., John Unguris und Daniel T. Pierce. „Magnetic Domain Imaging of Spintronic Devices“. In Magnetic Interactions and Spin Transport, 341–74. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0219-7_6.

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4

Course, Meredith M., Chung-Han Hsieh, Pei-I. Tsai, Jennifer A. Codding-Bui, Atossa Shaltouki und Xinnan Wang. „Live Imaging Mitochondrial Transport in Neurons“. In Neuromethods, 49–66. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6890-9_3.

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5

Rösgen, T., und R. Totaro. „Low Coherence Techniques for Imaging in Multiphase Flows“. In Sedimentation and Sediment Transport, 255–67. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0347-5_41.

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Panigrahi, Pradipta Kumar, und Krishnamurthy Muralidhar. „Transport Phenomena in Crystal Growth“. In Imaging Heat and Mass Transfer Processes, 59–100. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4791-7_4.

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Muste, Marian, und Kwonkyu Yu. „Advancements in Sediment Transport Investigations using Quantitative Imaging Techniques“. In Sedimentation and Sediment Transport, 237–40. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0347-5_37.

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8

Grogono, A. W., A. P. K. Verkaaik und W. Erdmann. „Informative Imaging of Oxygen Supply Parameters in Clinical Practice“. In Oxygen Transport to Tissue XIV, 315–18. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3428-0_33.

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9

Hardy, Edme H. „Imaging with an Inhomogeneous Gradient“. In NMR Methods for the Investigation of Structure and Transport, 203–5. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21628-2_9.

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Feydy, Jean, und Alain Trouvé. „Global Divergences Between Measures: From Hausdorff Distance to Optimal Transport“. In Shape in Medical Imaging, 102–15. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04747-4_10.

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Konferenzberichte zum Thema "Transport imaging":

1

Kutulakos, Kyros N., und Matthew O'Toole. „Transport-aware imaging“. In SPIE OPTO, herausgegeben von Michael R. Douglass, Philip S. King und Benjamin L. Lee. SPIE, 2015. http://dx.doi.org/10.1117/12.2085305.

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Manros, Carl-Uno, und Richard Shockey. „Transport of document images over the Internet“. In Electronic Imaging, herausgegeben von Giordano B. Beretta und Raimondo Schettini. SPIE, 1999. http://dx.doi.org/10.1117/12.373448.

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Araki, Ryuichiro. „NEAR-INFRARED IMAGING IN VIVO“. In International Symposium on Imaging in Transport Processes. Connecticut: Begellhouse, 1992. http://dx.doi.org/10.1615/ichmt.1992.intsympimgtranspproc.510.

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Heneghan, Jack. „Image Transport Quality? No Problem“. In SMPTE Advanced Motion Imaging Conference. IEEE, 2002. http://dx.doi.org/10.5594/m00228.

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Collmus, Bob. „Next Generation Transport for Broadcasters“. In SMPTE Advanced Motion Imaging Conference. IEEE, 2006. http://dx.doi.org/10.5594/m00366.

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Taratorin, Alexander M., und Samuel Sideman. „IMAGING AND ANALYSIS OF DYNAMIC FIELDS“. In International Symposium on Imaging in Transport Processes. Connecticut: Begellhouse, 1992. http://dx.doi.org/10.1615/ichmt.1992.intsympimgtranspproc.50.

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Zhou, Haowen, und Partha P. Banerjee. „Transport of intensity phase imaging with error correction using transport of phase equation“. In Ultra-High-Definition Imaging Systems IV, herausgegeben von Toyohiko Yatagai, Yasuhiro Koike und Seizo Miyata. SPIE, 2021. http://dx.doi.org/10.1117/12.2582398.

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Lin, Ching-Long, und Eric A. Hoffman. „A numerical study of gas transport in human lung models“. In Medical Imaging, herausgegeben von Amir A. Amini und Armando Manduca. SPIE, 2005. http://dx.doi.org/10.1117/12.601169.

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Durand, Frédo. „A Frequency Analysis of Light Transport“. In Computational Optical Sensing and Imaging. Washington, D.C.: OSA, 2011. http://dx.doi.org/10.1364/cosi.2011.jtud1.

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Schotland, John C. „Radiative Transport and Scattering of Entangled Two-photon States“. In Mathematics in Imaging. Washington, D.C.: OSA, 2016. http://dx.doi.org/10.1364/math.2016.mw3h.1.

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Berichte der Organisationen zum Thema "Transport imaging":

1

Crabtree, G. W., U. Welp, D. O. Gunter, W. Zhong, U. Balachandran, P. Haldar, R. S. Sokolowski, V. K. Vlasko-Vlasov und V. I. Nikitenko. Magneto-optical imaging of transport current densities in superconductors. Office of Scientific and Technical Information (OSTI), Dezember 1995. http://dx.doi.org/10.2172/195706.

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Botto, R. E., und G. D. Cody. Magnetic resonance imaging of solvent transport in polymer networks. Office of Scientific and Technical Information (OSTI), Februar 1995. http://dx.doi.org/10.2172/26588.

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Majer, Ernest L., Kenneth H. Williams, John E. Peterson und Glendon W. Gee. High Resolution Imaging of Vadose Zone Transport using Crosswell Methods. Office of Scientific and Technical Information (OSTI), Juli 2001. http://dx.doi.org/10.2172/15010150.

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Verbinski, Victor. Imaging Gamma-Ray Contraband Detector for Empty Liquid Transport Containers. Fort Belvoir, VA: Defense Technical Information Center, November 1994. http://dx.doi.org/10.21236/ada288557.

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D.P. Stotler, D.A. DIppolito, B. LeBlanc, R.J. Maqueda, J.R. Myra, S.A. Sabbagh und S.J. Zweben. Three-Dimensional Neutral Transport Simulations of Gas Puff Imaging Experiments. Office of Scientific and Technical Information (OSTI), September 2003. http://dx.doi.org/10.2172/815148.

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D.P. Stotler, B. LaBombard, J.L. Terry und S.J. Zweben. Neutral Transport Simulations of Gas Puff Imaging Experiments on Alcator C-Mod. Office of Scientific and Technical Information (OSTI), Juni 2002. http://dx.doi.org/10.2172/798193.

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Majer, Ernest L., Kenneth H. Williams, John E. Peterson und Thomas E. Daley. High resolution imaging of vadose zone transport using crosswell radar and seismic methods. Office of Scientific and Technical Information (OSTI), Oktober 2001. http://dx.doi.org/10.2172/792946.

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Majer, Ernest L., John E. Peterson, Kenneth H. Williams, Thomas M. Daley und Glendon W. Gee. High Resolution Imaging of Vadose Zone Transport using Crosswell Radar and Seismic Methods. Office of Scientific and Technical Information (OSTI), September 2000. http://dx.doi.org/10.2172/15010152.

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Moffatt, Robert. Two-Dimensional Spatial Imaging of Charge Transport in Germanium Crystals at Cryogenic Temperatures. Office of Scientific and Technical Information (OSTI), März 2016. http://dx.doi.org/10.2172/1350526.

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DAY, DAVID M., und GREGORY A. NEWMAN. Fast Solutions of Maxwell's Equation for High Resolution Electromagnetic Imaging of Transport Pathways. Office of Scientific and Technical Information (OSTI), Oktober 1999. http://dx.doi.org/10.2172/14164.

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