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Artykuły w czasopismach na temat "Tomographic reconstruction algorithms":
Lǖck, Sebastian, Andreas Kupsch, Axel Lange, Manfred P. Hentschel i Volker Schmidt. "STATISTICAL ANALYSIS OF TOMOGRAPHIC RECONSTRUCTION ALGORITHMS BY MORPHOLOGICAL IMAGE CHARACTERISTICS". Image Analysis & Stereology 29, nr 2 (3.05.2011): 61. http://dx.doi.org/10.5566/ias.v29.p61-77.
Ganguly, Poulami Somanya, Daniël M. Pelt, Doga Gürsoy, Francesco de Carlo i K. Joost Batenburg. "Improving reproducibility in synchrotron tomography using implementation-adapted filters". Journal of Synchrotron Radiation 28, nr 5 (12.08.2021): 1583–97. http://dx.doi.org/10.1107/s1600577521007153.
Wu, Juan, Mirna Lerotic, Sean Collins, Rowan Leary, Zineb Saghi, Paul Midgley, Slava Berejnov i in. "Optimization of Three-Dimensional (3D) Chemical Imaging by Soft X-Ray Spectro-Tomography Using a Compressed Sensing Algorithm". Microscopy and Microanalysis 23, nr 5 (12.09.2017): 951–66. http://dx.doi.org/10.1017/s1431927617012466.
Pelt, Daniël, Kees Batenburg i James Sethian. "Improving Tomographic Reconstruction from Limited Data Using Mixed-Scale Dense Convolutional Neural Networks". Journal of Imaging 4, nr 11 (30.10.2018): 128. http://dx.doi.org/10.3390/jimaging4110128.
Sipkens, T. A., S. J. Grauer, A. M. Steinberg, S. N. Rogak i P. Kirchen. "New transform to project axisymmetric deflection fields along arbitrary rays". Measurement Science and Technology 33, nr 3 (21.12.2021): 035201. http://dx.doi.org/10.1088/1361-6501/ac3f83.
Venkatakrishnan, Singanallur, Yuxuan Zhang, Luc Dessieux, Christina Hoffmann, Philip Bingham i Hassina Bilheux. "Improved Acquisition and Reconstruction for Wavelength-Resolved Neutron Tomography". Journal of Imaging 7, nr 1 (15.01.2021): 10. http://dx.doi.org/10.3390/jimaging7010010.
Sorzano, C. O. S., J. Vargas, J. Otón, J. M. de la Rosa-Trevín, J. L. Vilas, M. Kazemi, R. Melero i in. "A Survey of the Use of Iterative Reconstruction Algorithms in Electron Microscopy". BioMed Research International 2017 (2017): 1–17. http://dx.doi.org/10.1155/2017/6482567.
Müller, Jan, Dirk Fimmel, Renate Merker i Rainer Schaffer. "A Hardware–Software System for Tomographic Reconstruction". Journal of Circuits, Systems and Computers 12, nr 02 (kwiecień 2003): 203–29. http://dx.doi.org/10.1142/s021812660300074x.
Heidrich, G., C. O. Sahlmann, U. Siefker, H. Luig, C. Werner, E. Brunner, J. Meller i M. Schünemann. "Improvement of tomographic reconstruction in bone SPECT". Nuklearmedizin 45, nr 01 (2006): 35–40. http://dx.doi.org/10.1055/s-0038-1623932.
Yorkey, T. J., i J. G. Webster. "A comparison of impedance tomographic reconstruction algorithms". Clinical Physics and Physiological Measurement 8, nr 4A (listopad 1987): 55–62. http://dx.doi.org/10.1088/0143-0815/8/4a/007.
Rozprawy doktorskie na temat "Tomographic reconstruction algorithms":
Kim, Chuyoung. "Algorithms for Tomographic Reconstruction of Rectangular Temperature Distributions using Orthogonal Acoustic Rays". Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/73754.
Master of Science
MALALLA, NUHAD ABDULWAHED YOUNIS. "C-ARM TOMOGRAPHIC IMAGING TECHNIQUE FOR DETECTION OF KIDNEY STONES". OpenSIUC, 2016. https://opensiuc.lib.siu.edu/dissertations/1278.
Millardet, Maël. "Amélioration de la quantification des images TEP à l'yttrium 90". Thesis, Ecole centrale de Nantes, 2022. https://tel.archives-ouvertes.fr/tel-03871632.
Yttrium-90 PET imaging is becoming increasingly popular. However, the probability that decay of a yttrium-90 nucleus will lead to the emission of a positron is only 3.2 × 10-5, and the reconstructed images are therefore characterised by a high level of noise, as well as a positive bias in low activity regions. To correct these problems, classical methods use penalised algorithms or allow negative values in the image. However, a study comparing and combining these different methods in the specific context of yttrium-90 was still missing at the beginning of this thesis. This thesis, therefore, aims to fill this gap. Unfortunately, the methods allowing negative values cannot be used directly in a dosimetric study. Therefore, this thesis starts by proposing a new method of post-processing the images, aiming to remove the negative values while keeping the average values as locally as possible. A complete multi-objective analysis of these different methods is then proposed. This thesis ends by laying the foundations of what could become an algorithm providing a set of adequate reconstruction hyper parameters from sinograms alone
Defontaine-Caritu, Marielle. "Reconstruction optique de tomographies : application à la tomographie ultrasonore en réflexion". Compiègne, 1995. http://www.theses.fr/1995COMPD814.
Vallot, Delphine. "Reconstruction adaptative optimisée pour la quantification en tomographie de positons couplée à un tomodensitomètre". Thesis, Toulouse 3, 2019. http://www.theses.fr/2019TOU30188.
This study was initiated to evaluate an iterative reconstruction algorithm in positron emission tomography based on a regularization method to obtain convergence. Our aim was to assess its performance, in comparison with other currently available algorithms and to study the impact of the only parameter available to users for eventual optimization, both using anthropomorphic phantoms and clinical data. We confirm that this algorithm shows several advantages compared to the traditional OSEM-MLEM concerning noise, contrast and detectability. By using anthropomorphic phantoms and with access to more reconstruction parameters, the performance could be further improved to decrease the artefacts and the overestimation of certain metrics. Work in progress
Velo, Alexandre França. "Análise da aplicação de diferentes algoritmos de reconstrução de imagens tomográficas de objetos industriais". Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/85/85131/tde-08022019-142220/.
There is an interest in the industry to use the CT information in order to know the interior (i) of the manufactured industrial objects or (ii) the machines and their means of production. In these cases, the purpose of the tomography systems is to (a) control the quality of the final product and (b) to optimize production, contributing to the pilot phase of the projects and to analyze the quality of the means without interrupting he line production. Continuous quality assurance of the means of production is the key to ensuring product quality and competitiveness. The Radiation Technology Center of the Nuclear and Energy Research Institute (IPEN/CNEN-SP) has been developing this technology for the purpose of industrial analysis. Currently the laboratory has developed three generations of tomography systems: (i) first generation; (ii) third generation; and (iii) Instant Non-Scanning tomography. The algorithms for the reconstruction of tomographic images are of relevant importance for the optimal functioning of this technology. In this PhD thesis, the reconstruction algorithms of tomographic images were developed and analyzed to be implemented to the tomography systems developed. The analytical and iterative image reconstruction methods were developed using the software Matlab® r2013b. The iterative algorithms presented images with better spatial resolution compared to those obtained by the analytical method; however the images of the analytical method presented be less image noisy. The time to obtain the image by the iterative method is high, and increases as the image matrix increases, while the analytical method provides fast images. For images reconstructions using the Instant Non-Scanning tomography system, the images by the analytical method did not present satisfactory image quality compared to the iterative methods.
Belward, Catherine. "Reconstruction algorithms for electrical empedance tomography /". St. Lucia, Qld, 2003. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17243.pdf.
Polydorides, Nicholas. "Image reconstruction algorithms for soft-field tomography". Thesis, University of Manchester, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488242.
林吉雄 i Kat-hung Lam. "Geometric object reconstruction from orthogonal ray sum data". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1993. http://hub.hku.hk/bib/B31210855.
Lam, Kat-hung. "Geometric object reconstruction from orthogonal ray sum data /". [Hong Kong : University of Hong Kong], 1993. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13458747.
Książki na temat "Tomographic reconstruction algorithms":
Paulo A. Da Torre Pinheiro. A three-dimensional reconstruction algorithm for electrical resistance tomography. Manchester: UMIST, 1998.
Dunmore, A. Development of algebraic reconstruction algorithms for a real time optical process tomography system. Manchester: UMIST, 1993.
Cierniak, Robert. Nowe algorytmy rekonstrukcji obrazu z projekcji z zastosowaniem sieci neuronowych typu Hopfielda. Częstochowa: Wydawn. Politechniki Częstochowskiej, 2006.
Chang, Ji-Ho. Image reconstruction algorithms for achieving high-resolution positron emission tomography images. 2004.
Części książek na temat "Tomographic reconstruction algorithms":
Schmitt, Thomas, Dirk Fimmel, Mathias Kortke i Renate Merker. "Parallel Processor Array for Tomographic Reconstruction Algorithms". W Computer Aided Systems Theory - EUROCAST’99, 127–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10720123_12.
Tischenko, Oleg, i Christoph Hoeschen. "Reconstruction Algorithms and Scanning Geometries in Tomographic Imaging". W Imaging in Nuclear Medicine, 99–125. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31415-5_6.
Kodali, Shyam P., Kalyanmoy Deb, Sunith Bandaru, Prabhat Munshi i N. N. Kishore. "Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography". W Adaptive and Natural Computing Algorithms, 253–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04921-7_26.
Rajan, K., i L. M. Patnaik. "Parallel Implementation of Tomographic Reconstruction Algorithms on Bus-Based Extended Hypercube". W Lecture Notes in Computer Science, 279–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-540-46642-0_41.
Van Dijke, M. C. A., H. A. van der Vorst i M. A. Viergever. "Iterative Solution Methods for Large, Sparse Systems of Linear Equations Arising from Tomographic Image Reconstruction". W Numerical Linear Algebra, Digital Signal Processing and Parallel Algorithms, 649–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-75536-1_53.
Jiang, Huabei. "Reconstruction Algorithms". W Fluorescence Molecular Tomography, 7–17. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10004-8_2.
Natterer, F. "Reconstruction Algorithms". W The Mathematics of Computerized Tomography, 102–57. Wiesbaden: Vieweg+Teubner Verlag, 1986. http://dx.doi.org/10.1007/978-3-663-01409-6_5.
Herman, Gabor T., i Dewey Odhner. "Evaluation of reconstruction algorithms". W Mathematical Methods in Tomography, 215–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/bfb0084520.
Vardi, Yehuda, i Cun-Hui Zhang. "Reconstruction of Binary Images via the EM Algorithm". W Discrete Tomography, 297–316. Boston, MA: Birkhäuser Boston, 1999. http://dx.doi.org/10.1007/978-1-4612-1568-4_13.
Garderet, Ph. "Strategies of Reconstruction Algorithms for Computerized Tomography". W Physics and Engineering of Medical Imaging, 73–92. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3537-2_4.
Streszczenia konferencji na temat "Tomographic reconstruction algorithms":
Mishra, Debasish, K. Muralidhar i P. Munshi. "Three Dimensional Reconstruction From Limited Projection Data Using a Novel MART Algorithm". W ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-1101.
Liu Heng, Wang Zheng-huan, Bu Xiang-yuan i An Jian-ping. "Image reconstruction algorithms for radio tomographic imaging". W 2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2012. http://dx.doi.org/10.1109/cyber.2012.6392525.
Danisor, Cosmin, Gianfranco Fornaro i Mihai Datcu. "Comparative study of SAR tomographic reconstruction algorithms". W 2015 23rd Telecommunications Forum Telfor (TELFOR). IEEE, 2015. http://dx.doi.org/10.1109/telfor.2015.7377501.
Byunghyun Jang, David Kaeli, Synho Do i Homer Pien. "Multi GPU implementation of iterative tomographic reconstruction algorithms". W 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI). IEEE, 2009. http://dx.doi.org/10.1109/isbi.2009.5193014.
Rajesh, A., K. D. Kihm, L. Yang i J. Yen. "Hybrid Approach to Tomographic Reconstruction of Bubbles in Two-Phase Flows Using Algebraic Reconstruction Technique (ART), Genetic Algorithms (GA) and Simplex Method". W ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/vib-8172.
Rajesh, A., H. S. Ko i Ken D. Kihm. "Hybrid Approach to Tomographic Reconstruction of Bubbles in Two-Phase Flows Using Genetic Algorithm". W ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-0770.
Arathi, T., Latha Parameswaran i K. P. Soman. "A study of reconstruction algorithms in computerized tomographic images". W the 1st Amrita ACM-W Celebration. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1858378.1858447.
Rougee, A., K. M. Hanson i D. Saint-Felix. "Comparison Of 3-D Tomographic Algorithms For Vascular Reconstruction". W Medical Imaging II, redaktorzy Roger H. Schneider i Samuel J. Dwyer III. SPIE, 1988. http://dx.doi.org/10.1117/12.968659.
Lorenz, S., G. Grittani, L. V. N. Goncalves, C. M. Lazzarini, J. Limpouch, M. Nevrkla, S. Bulanov i G. Korn. "Tomographic Reconstruction Algorithms for Laser Wakefield Acceleration Gas Targets". W Compact EUV & X-ray Light Sources. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/euvxray.2020.jm3a.33.
Chamgoulov, Ravil, Michael Tsiroulnikov, Pierre Lane i Calum MacAulay. "Limited-angle reconstruction algorithms in computed-tomographic microscopic imaging". W Medical Imaging, redaktorzy J. Michael Fitzpatrick i Joseph M. Reinhardt. SPIE, 2005. http://dx.doi.org/10.1117/12.594708.
Raporty organizacyjne na temat "Tomographic reconstruction algorithms":
Martz, H. E., M. B. Aufderheide, D. Goodman, A. Schach von Wittenau, C. Logan, J. Hall, J. Jackson i D. Slone. Quantitative tomography simulations and reconstruction algorithms. Office of Scientific and Technical Information (OSTI), listopad 2000. http://dx.doi.org/10.2172/15005122.
Aufderheide, M. B., H. E. Martz, D. M. Slone, J. A. Jackson, A. E. Schach von Wittenau, D. M. Goodman, C. M. Logan i J. M. Hall. Concluding Report: Quantitative Tomography Simulations and Reconstruction Algorithms. Office of Scientific and Technical Information (OSTI), luty 2002. http://dx.doi.org/10.2172/15002511.
Basu, Samit. Dynamic Imaging and Fast Reconstruction Algorithms in Tomography. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 1999. http://dx.doi.org/10.21236/ada368306.
Ghosh Roy, D. N., K. Wilton, T. A. Cook, S. Chakrabarti, J. Qi i G. T. Gullberg. Tomographic reconstructions using map algorithms - application to the SPIDR mission. Office of Scientific and Technical Information (OSTI), styczeń 2004. http://dx.doi.org/10.2172/838183.
Wilson, Mark P., Bridget K. Ford, Jose Salomon II Salazar i ). Reconstruction algorithm development and assessment for a computed tomography based-spectral imager. Office of Scientific and Technical Information (OSTI), październik 2005. http://dx.doi.org/10.2172/882349.
Jimenez, Edward S., Laurel J. Orr i Kyle R. Thompson. High performance graphics processor based computed tomography reconstruction algorithms for nuclear and other large scale applications. Office of Scientific and Technical Information (OSTI), wrzesień 2013. http://dx.doi.org/10.2172/1121931.