Tomography

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Tomography refers to imaging by sections or sectioning, through the use of any kind of penetrating wave. A device used in tomography is called a tomograph, while the image produced is a tomogram. (Wikipedia.org)






Conferences related to Tomography

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2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2018 25th IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP 2018, the 25th in the series that has been held annually since 1994, brings together leading engineers and scientists in image and video processing from around the world.


2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2018 IEEE International Ultrasonics Symposium (IUS)

Medical and industrial ultrasonics


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Periodicals related to Tomography

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


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Most published Xplore authors for Tomography

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Xplore Articles related to Tomography

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Deblurring retinal optical coherence tomography via a convolutional neural network with anisotropic and double convolution layer

[{u'author_order': 1, u'affiliation': u"Shandong University of Science and Technology, People's Republic of China", u'full_name': u'Jian Lian'}, {u'author_order': 2, u'affiliation': u"School of Information Science and Engineering, Shandong Normal University, People's Republic of China", u'full_name': u'Sujuan Hou'}, {u'author_order': 3, u'affiliation': u"School of Information Science and Engineering, Shandong Normal University, People's Republic of China", u'full_name': u'Xiaodan Sui'}, {u'author_order': 4, u'affiliation': u"School of Electrical Engineering and Automation, Qilu University of Technology (Shandong Academy of Sciences), People's Republic of China", u'full_name': u'Fangzhou Xu'}, {u'author_order': 5, u'affiliation': u"School of Information Science and Engineering, Shandong Normal University, People's Republic of China", u'full_name': u'Yuanjie Zheng'}] IET Computer Vision, 2018

Various image pre-processing tasks in optical coherence tomography (OCT) systems involve reversing degradation effects (e.g. deblurring). Current deblurring research mainly focuses on how to build suitable degradation models using deconvolution operators. However, model-based solutions may not work well in many scenarios. To solve this problem, the authors propose a non-model architecture, called a deep convolutional neural network, to address parameter-free ...


Autogdeterm: automatic geometry determination for electron tomography

[{u'author_order': 1, u'full_name': u'Yu Chen'}, {u'author_order': 2, u'full_name': u'Zihao Wang'}, {u'author_order': 3, u'full_name': u'Lun Li'}, {u'author_order': 4, u'full_name': u'Jingrong Zhang'}, {u'author_order': 5, u'full_name': u'Xiaohua Wan'}, {u'author_order': 6, u'full_name': u'Fei Sun'}, {u'author_order': 7, u'full_name': u'Fa Zhang'}] Tsinghua Science and Technology, 2018

Electron Tomography (ET) is an important method for studying cell ultrastructure in three-dimensional (3D) space. By combining cryo-electron tomography of frozen-hydrated samples (cryo-ET) and a sub-tomogram averaging approach, ET has recently reached sub-nanometer resolution, thereby realizing the capability for gaining direct insights into function and mechanism. To obtain a high-resolution 3D ET reconstruction, alignment and geometry determination of the ET ...


Spaceborne coherence based SAR tomography

[{u'author_order': 1, u'full_name': u'Matteo Nannini'}, {u'author_order': 2, u'full_name': u'Michele Martone'}, {u'author_order': 3, u'full_name': u'Paola Rizzoli'}, {u'author_order': 4, u'full_name': u'Pau Prats-Iraola'}, {u'author_order': 5, u'full_name': u'Marc Rodriguez-Cassola'}, {u'author_order': 6, u'full_name': u'Alberto Moreira'}] EUSAR 2018; 12th European Conference on Synthetic Aperture Radar, None

SAR tomography is one of the most prominent techniques that will be implemented in future spaceborne SAR missions. The main challenge to face when employing tomography with repeat-pass spaceborne data is that the temporal decorrelation among acquisitions can be very severe compromising the results. In this context, at a present time, strong effort is dedicated in designing missions exploiting two ...


In utero Optical Coherence Tomography to Evaluate Vasculature Changes in the Murine Embryonic Brain Due to Prenatal Alcohol and Nicotine exposure

[{u'author_order': 1, u'affiliation': u'Department of Biomedical Engineering, University of Houston, Houston, TX, USA', u'full_name': u'Raksha Raghunathan'}, {u'author_order': 2, u'affiliation': u'Department of Biomedical Engineering, University of Houston, Houston, TX, USA', u'full_name': u'Chen Wu'}, {u'author_order': 3, u'affiliation': u'Department of Biomedical Engineering, University of Houston, Houston, TX, USA', u'full_name': u'Manmohan Singh'}, {u'author_order': 4, u'affiliation': u'Department of Biomedical Engineering, University of Houston, Houston, TX, USA', u'full_name': u'Jennifer Nguyen'}, {u'author_order': 5, u'affiliation': u'Department of Biomedical Engineering, University of Houston, Houston, TX, USA', u'full_name': u'Chih-Hao Liu'}, {u'author_order': 6, u'affiliation': u'Department of Neuroscience and Experimental Therapeutics, TAMHSC College of Medicine', u'full_name': u'Rajesh C. Miranda'}, {u'author_order': 7, u'affiliation': u'Department of Biomedical Engineering, University of Houston, Houston, TX, USA', u'full_name': u'Kirill V. Larin'}] 2018 International Conference Laser Optics (ICLO), None

This study uses speckle variance optical coherence tomography to evaluate vasculature changes in the murine embryonic brain caused due to prenatal exposure to alcohol and nicotine. In this talk, I will present acute changes in vasculature seen within 45 minutes after maternal alcohol consumption. Finally, preliminary results on the acute effects of maternal nicotine exposure on the fetal brain vasculature ...


Assessment of Temporal Decorrelation in Differential SAR Tomography for forestry applications

[{u'author_order': 1, u'full_name': u'Hossein Aghababaee'}, {u'author_order': 2, u'full_name': u'Alessandra Budillon'}, {u'author_order': 3, u'full_name': u'Giampaolo Ferraioli'}, {u'author_order': 4, u'full_name': u'Vito Pascazio'}, {u'author_order': 5, u'full_name': u'Gilda Schirinzi'}] EUSAR 2018; 12th European Conference on Synthetic Aperture Radar, None

Differential synthetic aperture radar tomography (TomoSAR) has been proven to be effective in characterizing the bi-dimensional spatial-temporal backscattering from the distributed volumetric media. The purpose of this paper is to investigate the effectiveness of differential SAR tomography under the presence of temporal decorrelation. Under the assumptions of short and long terms decorrelation (due f.i. to motion caused by winds, or ...


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Educational Resources on Tomography

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eLearning

No eLearning Articles are currently tagged "Tomography"

IEEE-USA E-Books

  • Diffraction Tomography

    There are several kinds of diffraction tomography (DT) relationships in relationship with the measurement configuration, but this chapter focuses on the common offset configuration. In general, a DT relationship requires more approximations than does the linearization provided by the BA. The effective maximum view angle is difficult to be predicted in a theoretical way, but in general it can be heuristically evaluated from the data. The chapter demonstrates the calculation of the available horizontal resolution, although the horizontal resolution cannot be separated from the vertical one, because the two quantities are correlated within the DT relationships. DT also provides an approximated but powerful tool to calculate the spatial step needed for taking GPR measurements correctly. The chapter also shows that GPR data can be processed either in the frequency domain or in the time domain.

  • Three-Dimensional Diffraction Tomography

    The (first-order) Born approximation (BA) in 3D can be introduced in the same way as done in 2D, namely approximating the internal field with the incident one. It is important to outline that the spectral weight tends to zero all over the bound of the visible circle, so that the ?>actual?> retrievable spectral set is never equal to the ideal one, in the sense that it would not be equal to the ideal set even if the measurement plane surface were unlimited, analogously to what happened in 2D. The spatial step and the transect or, in other terms, the spatial needed steps along the direction of the movement of the antennas and along the horizontal direction orthogonal to this are driven by the Nyquist criterion. In order to estimate the horizontal (and then the vertical) resolution, the same steps as implemented in the 2D case can be followed.

  • XRay Imaging and Computed Tomography

  • Ionospheric Tomography

    Proposals for tomographic-reconstruction techniques, using ?>differential Doppler?> data gained from the signals of polar-orbiting navigation satellites, began to appear around 1980. The reconstruction results are two- dimensional electron-density distributions, e.g., in height and geographic latitude. In mid- and high latitudes, the height range from about 200 to 600 km is covered; in the surroundings of the equatorial anomaly, the upper limit can be considerably higher. The horizontal range depends on the number and the spacing of the receiving stations. A typical range is 15 degrees. In recent years, several different reconstruction methods have been worked out. Some of them are have found practical application and are used in the production of two-dimensional electron-density profiles. All techniques suffer from the inherent problem that the data set available for the reconstruction is necessarily incomplete. Therefore, additional information has to be used, and it is not possible to select only one reconstruction method that should give the most plausible results under all conditions. Most of the reconstruction methods that have been published fall into the categories of ?>pixel?> methods (matrix reconstruction) or ?>model?> methods (fitting of model parameters). The main differences are found in the inversion techniques, and in the way a p riori information about plausible electron- density distributions is incorporated. Incoherent-scatter radars can give the height dependence of electron density over the height range covered by ionosphere tomography. In general, such profiles are not available for the locations and observation times of satellite passes. The second-best way to gain additional information is the use of true height profiles from ionosondes, or, at least, the use of ionogram parameters. If no additional data exist from observations, one has to fall back to model considerations. (The large experience with ionospheric data and ionospheric physics that is now available allows filling in for missing information in a consistent way, and assessing the plausibility of the two- dimensional electron-density distributions from different reconstruction methods by inspecting the results.) The newest developments in observation possibilities allow one to overcome the inherent weakness of ground-based ionospheric tomography by using the global Navigation Satellite Systems (GNSS: the Global Positioning System, GPS, and/or its Russian equivalent, GLONASS), and reception of the navigation-beacon signals from satellites in low-Earth orbits. Shortly before Earth occultation of the signals, the rays connecting transmitters and receivers are nearly horizontal, and provide the information missing in ground-based tomography. Presently, one receiving satellite exists, and several more will be launched in the near future. Of course, the electron content along near-horizontal rays is only one part of the data system for tomographic reconstruction. It provides information about the average height distribution of ionization. Classical inversion techniques allow retrieval of just this information. Ground-based reception of satellite- beacon signals can provide complimentary information about the horizontal distribution of ionization. The old navigation systems are fading out, but their satellites in low polar orbits will continue to transmit signals for several years, and can provide th...

  • Negative Quantum Channels:An Introduction to Quantum Maps that are Not Completely Positive

    This book is a brief introduction to negative quantum channels, i.e., linear, trace-preserving (and consistent) quantum maps that are not completely positive. The flat and sharp operators are introduced and explained. Complete positivity is presented as a mathematical property, but it is argued that complete positivity is not a physical requirement of all quantum operations. Negativity, a measure of the lack of complete positivity, is proposed as a tool for empirically testing complete positivity assumptions. Table of Contents: Preface / Acknowledgments / Introduction and Definition of Terms / Tomography / Non-Positive Reduced Dynamics / Complete Positivity / Physical Motivation of Complete Positivity / Measures of Complete Positivity / Negative Channels / Negative Climates with Diagonal Composite Dynamics / Rabi Channels / Physical Motivations for Sharp Operations / Negative Qubit Channel Examples with Multi-Qubit Baths / Proposed Experimental Demonstration of Negativity / Implicatio s of Negative Channels / Uses for Negative Channels / Conclusions / Bibliography / Author's Biography

  • Landmarking and Segmentation of 3D CT Images

    Segmentation and landmarking of computed tomographic (CT) images of pediatric patients are important and useful in computer-aided diagnosis (CAD), treatment planning, and objective analysis of normal as well as pathological regions. Identification and segmentation of organs and tissues in the presence of tumors are difficult. Automatic segmentation of the primary tumor mass in neuroblastoma could facilitate reproducible and objective analysis of the tumor's tissue composition, shape, and size. However, due to the heterogeneous tissue composition of the neuroblastic tumor, ranging from low-attenuation necrosis to high-attenuation calcification, segmentation of the tumor mass is a challenging problem. In this context, methods are described in this book for identification and segmentation of several abdominal and thoracic landmarks to assist in the segmentation of neuroblastic tumors in pediatric CT images. Methods to identify and segment automatically the peripheral artifacts and tissu s, the rib structure, the vertebral column, the spinal canal, the diaphragm, and the pelvic surface are described. Techniques are also presented to evaluate quantitatively the results of segmentation of the vertebral column, the spinal canal, the diaphragm, and the pelvic girdle by comparing with the results of independent manual segmentation performed by a radiologist. The use of the landmarks and removal of several tissues and organs are shown to assist in limiting the scope of the tumor segmentation process to the abdomen, to lead to the reduction of the false-positive error, and to improve the result of segmentation of neuroblastic tumors. Table of Contents: Introduction to Medical Image Analysis / Image Segmentation / Experimental Design and Database / Ribs, Vertebral Column, and Spinal Canal / Delineation of the Diaphragm / Delineation of the Pelvic Girdle / Application of Landmarking / Concluding Remarks

  • Introductory Medical Imaging

    This book provides an introduction to the principles of several of the more widely used methods in medical imaging. Intended for engineering students, it provides a final-year undergraduate- or graduate-level introduction to several imaging modalities, including MRI, ultrasound, and X-Ray CT. The emphasis of the text is on mathematical models for imaging and image reconstruction physics. Emphasis is also given to sources of imaging artefacts. Such topics are usually not addressed across the different imaging modalities in one book, and this is a notable strength of the treatment given here. Table of Contents: Introduction / Diagnostic X-Ray Imaging / X-Ray CT / Ultrasonics / Pulse-Echo Ultrasonic Imaging / Doppler Velocimetry / An Introduction to MRI

  • Intravascular MR Antennas: Loops and Solenoids

    This chapter contains sections titled: Introduction MRI Intravascular MR Antennas MR Antenna Model Antenna Evaluation In Vitro Testing Antenna Synthesis Safety Aspects Conclusions Appendix 2.A. Biot-Savart Law for Quasi‐Static Situation References

  • Tracheal Tissue Engineering

    We provide a description of the structure and function of the mammalian trachea. This is followed by a discussion of medical conditions and current treatment modalities. We then provide specific examples of tissue engineering as it applies to fabricating the trachea.

  • Inverse Scattering

    In the inverse problem, the scattered wave is measured for a given incident wave, and then the properties of the object are determined. This chapter outlines several inversion techniques and their advantages and disadvantages. In a computed tomography (CT) scanner, an object is illuminated by an X‐ray and the intensity of the transmitted X‐ray is recorded for various angles of illumination. These recorded data are then used to reconstruct the image of the object. The chapter gives an inverse Radon transform in the form of the back projection of the filtered projection. It is also possible to express the inverse Radon transform using the Hilbert transform. Based on the physical optics approximation, it is possible to derive an inversion formula that gives the size and shape of a conducting object from the knowledge of the monostatic scattering for all frequencies and all aspect angles.



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