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Статті в журналах з теми "Tomographie par émission – Innovation":
Decazes, P., S. Hapdey, A. Larnaudie, J. Thariat, and S. Thureau. "Tomographie par émission de positons (TEP) pour la radiothérapie : technique et innovations." Cancer/Radiothérapie 24, no. 6-7 (October 2020): 628–34. http://dx.doi.org/10.1016/j.canrad.2020.07.006.
Defrise, Michel. "Reconstruction d’image en tomographie par émission." Médecine Nucléaire 31, no. 4 (April 2007): 142–52. http://dx.doi.org/10.1016/j.mednuc.2007.02.004.
Fay, Anne-Florence, François Faure, and Johann Lelay. "La tomographie par émission de positons." ITBM-RBM News 23, no. 6 (December 2002): 10–18. http://dx.doi.org/10.1016/s1297-9570(02)90004-x.
Bendriem, Bernard, and Jacques Delforge. "La tomographie par émission de positons (TEP)." Annales de l'Institut Pasteur / Actualités 9, no. 3 (October 1998): 227–35. http://dx.doi.org/10.1016/s0924-4204(99)80002-x.
Rouzet, F., F. Hyafil, S. Leygnac, R. Ben Azzouna, E. Sorbets, S. Burg, and D. Le Guludec. "La tomographie par émission de positons en cardiologie." Médecine Nucléaire 36, no. 8 (August 2012): 438–44. http://dx.doi.org/10.1016/j.mednuc.2012.06.003.
Géraud, G., M. Denuelle, N. Fabre, P. Payoux, and F. Chollet. "Tomographie par émission de positons dans la migraine." Revue Neurologique 161, no. 6-7 (July 2005): 666–70. http://dx.doi.org/10.1016/s0035-3787(05)85111-2.
Montravers, F., and J. N. Talbot. "Tomographie par émission de positons en cancérologie digestive." EMC - Radiologie et imagerie médicale - Abdominale - Digestive 7, no. 2 (June 2012): 1–14. http://dx.doi.org/10.1016/s1879-8527(12)55045-8.
Talbot, Jean-Noël, Françoise Montravers, Fabrice Gutman, Khaldoun Kerrou, Virginie Huchet, Dany Grahek, Thierry Andre, et al. "Tomographie par émission de positons et cancers digestifs." La Presse Médicale 37, no. 2 (February 2008): e1-e24. http://dx.doi.org/10.1016/j.lpm.2007.03.048.
Bonardel, Gérald, Stéphane Lecoules, Marina Mantzarides, Thierry Carmoi, Éric Gontier, Jean-Sébastien Blade, Marine Soret, Hervé Foehrenbach, and Jean-Pierre Algayres. "Tomographie par émission de positons en médecine interne." La Presse Médicale 37, no. 3 (March 2008): 460–69. http://dx.doi.org/10.1016/j.lpm.2007.04.030.
Bizon, A., O. Capitain, S. Girault, H. Charrot, and L. Laccourreye. "Rhabdomyome multifocal et tomographie par émission de positons." Annales d'Otolaryngologie et de Chirurgie Cervico-faciale 125, no. 4 (September 2008): 213–17. http://dx.doi.org/10.1016/j.aorl.2008.02.003.
Дисертації з теми "Tomographie par émission – Innovation":
Maronnier, Quentin. "Développement de tests et de procédures innovants pour la conception et l'évaluation d'une nouvelle technologie de TEP/TDM : du fantôme à l'humain." Electronic Thesis or Diss., Toulouse 3, 2023. http://www.theses.fr/2023TOU30292.
Positron Emission Tomography (PET) coupled with Computed Tomography (CT) is commonly used in oncology at various stages of the management of many cancers, either for diagnosis, treatment follow-up or monitoring. However, the technical performances of PET have so far been limited in detecting lesions smaller than 10 mm in diameter, preventing the quantification of metabolic activity in small volumes. Various hardware and software improvements, such as detection geometry, embedded electronics and reconstruction algorithms, have improved the overall performances of PET. To assess these performances, scientific experts from national and international authorities provide users and manufacturers with standardized procedures. These are useful for evaluating and comparing systems using test objects, but are unrealistic in terms of clinical practice. Regarding clinical data, the gold standard method for determining diagnostic accuracy is based on lesion detection. It is assessed by the rates of true positives and true negatives from patient examinations. Diagnostic accuracy can only be obtained by anatomocytopathological analysis of biopsies. Simulation provides an alternative method to the use of physical data through computational modeling. The most realistic is particle-tracking-based simulation, which is generically referred to as Monte Carlo method. A major limitation in particle-tracking simulation is the significant computation time which limits the generation of large datasets. Analytical simulation is another method that models the average probability of photon interactions instead of individual photon tracking. By combining physical data with fast analytical simulation, we are able to quickly generate significant sets of imaging configurations from a PET-CT system. As part of a research collaboration, we have a dedicated workstation and software solution for modelling, simulation and reconstruction of PET data. The simulation method used is based on the Insertion of Synthetic Lesion (ISL). The ISL consists in embedding synthetic information with known characteristics such as location, volume, shape and activity into pre-acquired data using system modeling. The aim is to use the method on physical data to create a scalable ground truth that meets clinical needs. In a first experimental study, we evaluate the accuracy of the ISL method in multiple scenarios in comparison to equivalent physical experiments. It is a first validation step performed on standardized objects. In a second study, we apply the ISL method to clinical examinations from two PET-CT systems. From this study, we highlight differences in clinical performances between the devices and establish a clinical trial model to quantify these differences. Finally, the clinical trial study the relevance of the ISL method applied to examinations of the same patients acquired consecutively on different PET-CT systems. The methodology used provides a cross-comparison of the performances under clinical conditions. ISL makes it possible to evaluate the differences in performances between two PET-CT scanners with a limited number of experiments or examinations. By using synthetically modified clinical images, it is possible to produce a ground truth in a realistic anatomical model and thus supports the clinical optimization of PET-CT scanners
Lapointe, David. "Tomographie par émission de positrons chez l'animal." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0020/MQ56924.pdf.
Juillard, Laurent. "Mesure du débit sanguin rénal par tomographie par émission de positons." Lyon 1, 2000. http://www.theses.fr/2000LYO1T195.
Maze, Anne. "Correction non uniforme de l'atténuation en tomographie d'émission simple." Rennes 1, 1992. http://www.theses.fr/1992REN1A006.
Le, Meunier Ludovic. "Développement d'un simulateur de tomographes à émission de positions." Université Joseph Fourier (Grenoble), 2004. http://www.theses.fr/2004GRE19003.
The positron emission tomography (PET) is a functional imaging modality. Due to the development of the FDG and due to its good sensitivity and its good resolution compared with gamma-cameras, PET is widely used in oncology in France and over the world. In this context, LETI has restarted its activity in whole body PET and it has launched a research study concerning new detection materials efficient at PET energy. Because of the cost of prototypes, a simulation step has been decided to provide a tool to compare performances of different devices. This thesis book shows the works around the simulation software, SimSET. The main part of this work is the validation step from data obtained with others simulation softwares and from two physical tomographs
Crivello, Fabrice. "Détection et localisation des activations cérébrales en tomographie par émission de positons." Paris 12, 1997. http://www.theses.fr/1997PA120019.
Prunier-Levilion, Caroline. "Etude du système dopaminergique par tomographie par émission monophotonique : des modèles animaux à l'homme." Tours, 2002. http://www.theses.fr/2002TOUR3309.
Grotus, Nicolas. "La synchronisation respiratoire pour l’exploration des tumeurs pulmonaires par tomographie par émission de positons." Paris 11, 2009. http://www.theses.fr/2009PA112085.
Positron Emission Tomography (PET) is a medical imaging technique that requires several minutes of acquisition to get an image. PET images are thus severely affected by the respiratory motion of the patient, which introduces a blur in the images. Techniques consisting in gating the PET acquisition as a function of the patient respiration exist and reduce the respiratory blur in the PET images. However, these techniques increase the noise in the reconstructed images. The aim of this work was to propose a method for respiratory motion compensation that would not enhance the noise in the PET images, without increasing the acquisition duration nor estimating the deformation field associated with the respiratory motion. We proposed 2 original spatiotemporal (4D) reconstruction algorithms of gated PET images. These 2 methods take advantage of the temporal correlation between the images corresponding to the different breathing phases. The performances of these techniques were evaluated and compared to classic approaches using phantom data and simulated data. The results showed that the 4D reconstructions increase the signal-to-noise ratio compared to the classic reconstructions while maintaining the reduction of the respiratory blur. For a fixed acquisition duration, the 4D reconstructions can thus yield gated images that are almost free of respiratory blur and of the same quality in terms of noise level as the ones obtained without respiratory gating. The clinical feasibility of the proposed techniques was also demonstrated
Stéphan, Cécile. "Mise au point d'une voie de synthèse des hexahydropyrrolo[2,1-a]isoquinoléines, destinées à l'imagerie médicale." Metz, 2002. http://docnum.univ-lorraine.fr/public/UPV-M/Theses/2002/Stephan_Coindet.Cécile.SMZ0208.pdf.
Zanotti, Fregonara Paolo. "Extraction de la fonction d'entrée artérielle des traceurs pour les études cérébrales en tomographie par émission de positrons." Paris 13, 2009. http://www.theses.fr/2009PA132003.
For the in vivo modelisation of radioactive tracer kinetics, it is necessary to know the input function, i. E the variation of arterial plasma tracer concentration over time. The input function is usually obtained by arterial blood sampling. Some studies have shown the possibility to calculate the input function directly from dynamic TEP images, using the time-activity curves obtained from large vascular structures. However, for brain studies, the largest blood vessels in the camera field of view are the internal carotids, the diameter of which is about 5mm. This aim of this work is to evaluate comparatively the existing methods for the segmentation of the internal carotids and for the PVE correction. We are proposed an original method for PVE corection as well, which be evaluated comparatively to the methods proposed in the literature
Книги з теми "Tomographie par émission – Innovation":
Trajtenberg, Manuel. Economic analysis of product innovation: The case of CT scanners. Cambridge, Mass: Harvard University Press, 1990.
Bushong, Stewart C. Computed tomography. New York: McGraw-Hill, Health Professions Divison, 2000.
Kipper, Michael S. Clinical atlas of PET: With imaging correlation. Philadelphia: Saunders, 2004.
Bushong, Stewart C. Computed Tomography. McGraw-Hill Medical, 2000.
Bushong, Stewart C. Computed Tomography. McGraw-Hill Medical, 2000.
(Editor), Albert Gjedde, Soren B. Hansen (Editor), Gitte M. Knudsen (Editor), and Olaf B. Paulson (Editor), eds. Physiological Imaging of the Brain with PET. Academic Press, 2001.
Paulson, Olaf B., Albert Gjedde, Soren B. Hansen, and Gitte M. Knudsen. Physiological Imaging of the Brain with PET. Elsevier Science & Technology Books, 2000.
(Editor), Peter E. Valk, Dominique Delbeke (Editor), Dale L. Bailey (Editor), David W. Townsend (Editor), and Michael N. Maisey (Editor), eds. Positron Emission Tomography: Clinical Practice. Springer, 2006.
Delbeke, Dominique, Peter E. Valk, Dale L. Bailey, David W. Townsend, and Michael N. Maisey. Positron Emission Tomography: Clinical Practice. Springer London, Limited, 2006.
Valk, Peter E., Dale L. Bailey, David W. Townsend, and Michael N. Maisey. Positron Emission Tomography: Basic Sciences. Springer, 2006.
Частини книг з теми "Tomographie par émission – Innovation":
Kerrou, K. "Tomographie par émission de positons couplée à la tomodensitométrie (TEP-TDM) Indications et perspectives dans le cancer du sein." In Cancer du sein, 257–75. Paris: Springer Paris, 2012. http://dx.doi.org/10.1007/978-2-8178-0245-9_21.
Baron, Jean-Claude. "8. La tomographie par émission de positons." In Questions de personne, 157–77. De Boeck Supérieur, 2001. http://dx.doi.org/10.3917/dbu.eusta.2001.01.0157.
"Médecine nucléaire et tomographie par émission de positons." In Pathologies Musculosquelettiques Douloureuses, 11–13. Elsevier, 2012. http://dx.doi.org/10.1016/b978-2-294-71429-0.00004-2.
Lazard, D., B. Baujat, B. Barry, J. Depondt, C. Guedon, D. Leguludec, and P. Gehanno. "La tomographie par émission de positons en carcinologie ORL." In Cancers de l'oropharynx, 213–20. EDP Sciences, 2000. http://dx.doi.org/10.1051/978-2-84254-206-1.c026.
"Tomographie par émission de positons au [18F]- déoxyglucose (TEP-scan)." In Méga Guide STAGES IFSI, 134–35. Elsevier, 2015. http://dx.doi.org/10.1016/b978-2-294-74529-4.00032-x.
Alexandre, J., A. Balian, L. Bensoussan, A. Chaïb, G. Gridel, K. Kinugawa, F. Lamazou, et al. "Tomographie par émission de positons au [18F]-déoxyglucose (TEP-scan)." In Le tout en un révisions IFSI, 127–28. Elsevier, 2009. http://dx.doi.org/10.1016/b978-2-294-70633-2.50032-9.
"Chapitre 5. L’imagerie TEP: la Tomographie par Émission de Positons." In La médecine nucléaire, 69–80. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-0228-9.c007.