Les résultats obtenus ontégalementétéontégalementontégalementété validés expérimentalement en utilisant un collimateur. Ce travail a ´ eté publié dans la revue, 2016. ,
nous avons développé une méthode de correction du diffusé flexible et adaptablè a de nombreux cas rencontrés en tomographie industrielle, pp.100-106 ,
La méthode développée s'applique sur les projections, elle est donc indépendante de l'algorithme de reconstruction utilisée ensuite. La méthode nécessite de simuler que quelques cas ,
Dans lapremì ere approche, nous avons adopté la méthode simple de calcul d'´ epaisseur en utilisant la loi de Beer-Lambert. Pour tenir compte davantage de l'effet de durcissement du faisceau de l'´ epaisseur a ´ eté calculée sur la base des tables de consultation. Cependant, cette approche estégalementestégalement limitée sur la modélisation du spectre du logiciel simulant. Une des méthodes de calcul de l'´ epaisseur au niveau de chaque pixel peut se faire par l'utilisation de la méthode de lancer de rayon ,
´ energie les processusélectroniquesprocessusélectroniques comme le rayonnement de freinage deviennent non négligeable. CIVA ne tenant pas compte de ces processus, il faudra simuler les noyaux avec des codes plus complet comme MCNP ou Penelope ,
The influence of scatter and beam hardening in X-ray computed tomography for dimensional metrology ,
photon cross sections database. NIST, 2016. x, xi, 6, 67, XXIX, pp.25-44 ,
Civa CT, an advanced simulation platform for NDT. iCT, p.7, 2016. ,
Improved scatter correction using adaptive scatter kernel superposition, Physics in Medicine and Biology, vol.55, issue.22, pp.6675-6720, 2010. ,
DOI : 10.1088/0031-9155/55/22/007
A beam stop based correction procedure for high spatial frequency scatter in industrial cone-beam X-ray CT, Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, vol.266, issue.18, pp.4042-4054, 2008. ,
DOI : 10.1016/j.nimb.2008.07.005
MCNP-A general Monte Carlo code for neutron and photon transport. 1986. xi, xiii ,
Algebraic Reconstruction Techniques (ART) for three-dimensional electron microscopy and X-ray photography, Journal of Theoretical Biology, vol.29, issue.3, pp.471-481, 1970. ,
DOI : 10.1016/0022-5193(70)90109-8
Computed Tomography, 2008. ,
DOI : 10.1007/978-3-540-74658-4_16
Principles of computerized tomographic imaging ,
Practical cone-beam algorithm, Journal of the Optical Society of America A, vol.1, issue.6, pp.612-619, 1984. ,
DOI : 10.1364/JOSAA.1.000612
URL : http://www.engineering.uiowa.edu/~mchen/reconstruction/practical feldkamp.pdf
On the efficiency of iterative ordered subset reconstruction algorithms for acceleration on GPUs, Computer Methods and Programs in Biomedicine, vol.98, issue.3, pp.261-270, 2010. ,
DOI : 10.1016/j.cmpb.2009.09.003
Iterative image reconstruction algorithms based on cross-entropy minimization, TMP, vol.2, issue.7, pp.261-270, 1993. ,
Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT, JXST, vol.14, issue.7, pp.119-139, 2006. ,
Artefacts in CBCT: a review, Dentomaxillofacial Radiology, vol.24, issue.5, pp.265-273, 2011. ,
DOI : 10.1109/TNS.2005.852703
Initial study of quasimonochromatic X-ray beam performance for X-ray computed mammotomography, 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515), pp.1243-1250, 2005. ,
DOI : 10.1109/NSSMIC.2003.1352515
Signal-to-Noise and contrast ratio enhancements by quasimonochromatic imaging, pp.908-915, 2011. ,
DOI : 10.1109/tim.2010.2045441
Correction for beam hardening in computed tomography, Physics in Medicine and Biology, vol.24, issue.1, pp.81-106, 1979. ,
DOI : 10.1088/0031-9155/24/1/008
Correction for beam hardening artefacts in computerised tomography, JXST, vol.8, issue.8, pp.75-93, 1998. ,
CT image correction for beam hardening using simulated projection data, IEEE Transactions on Nuclear Science, vol.37, issue.4, pp.1520-1524, 1990. ,
DOI : 10.1109/23.55865
An iterative approach to the beam hardening correction in cone beam CT, Medical Physics, vol.1, issue.1, pp.23-29, 2000. ,
DOI : 10.1364/JOSAA.1.000612
A beam-hardening correction using dual-energy computed tomography, Physics in Medicine and Biology, vol.30, issue.11, pp.1251-1256, 1985. ,
DOI : 10.1088/0031-9155/30/11/007
Image blur in a flat-panel detector due to Compton scattering at its internal mountings, Measurement Science and Technology, vol.18, issue.5, pp.1270-1277, 2007. ,
DOI : 10.1088/0957-0233/18/5/013
Secondary radiations in cone-beam computed tomography: simulation study, Journal of Electronic Imaging, vol.21, issue.2, p.21113, 2012. ,
DOI : 10.1117/1.JEI.21.2.021113
URL : https://hal.archives-ouvertes.fr/hal-00822442
Removal and effects of scatter-glare in cone-beam CT with an amorphous-silicon flat-panel detector, Physics in Medicine and Biology, vol.56, issue.6 ,
DOI : 10.1088/0031-9155/56/6/019
Influence of backscattering on the spatial resolution of semiconductor X-ray detectors, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, vol.546, issue.1-2, pp.252-257, 2005. ,
DOI : 10.1016/j.nima.2005.03.028
Investigation of radiation absorption and X-ray fluorescence properties of medical imaging scintillators by Monte Carlo methods, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, vol.565, issue.2, pp.821-832, 2006. ,
DOI : 10.1016/j.nima.2006.05.170
A Monte Carlo study of x-ray fluorescence in x-ray detectors, Medical Physics, vol.24, issue.6, pp.905-916, 1999. ,
DOI : 10.1118/1.598100
Origins of flare in x-ray image intensifiers, Medical Physics, vol.17, issue.5, pp.913-921, 1990. ,
DOI : 10.1118/1.596447
Impact of flat panel-imager veiling glare on scatterestimation accuracy and image quality of a commercial on-board cone-beam CT imaging system, Med. Phys, vol.39, issue.10, pp.5639-5651, 2012. ,
Evaluation of X-ray scatter properties in a dedicated cone-beam breast ct scanner, Med. Phys, vol.32, issue.11, pp.2967-2975, 2005. ,
Effect of scatter and an antiscatter grid on the performance of a slot-scanning digital mammography system, Medical Physics, vol.27, issue.4, pp.1108-1115, 2006. ,
DOI : 10.1118/1.1287052
Investigation of the performance of antiscatter grids: Monte carlo simulation studies, Phys. Med. Biol, vol.27, issue.11, pp.785-803, 1982. ,
Performance of antiscatter grids in diagnostic radiology: Experimental measurements and Monte Carlo simulation studies, Medical Physics, vol.12, issue.4, pp.449-454, 1985. ,
DOI : 10.1118/1.595670
Development and Monte Carlo Analysis of Antiscatter Grids for Mammography, Technology in Cancer Research & Treatment, vol.5, issue.6, pp.441-448, 2002. ,
DOI : 10.1088/0031-9155/27/6/002
Performance of standard fluoroscopy antiscatter grids in flat-detector-based conebeam CT, Proc. SPIE, pp.67-78, 2004. ,
Grids or air gaps for scatter reduction in digital radiography: A model calculation, Medical Physics, vol.19, issue.2, pp.475-81, 1992. ,
DOI : 10.1118/1.596836
Scatter reduction in mammography with air gap, Medical Physics, vol.23, issue.7, pp.1263-1270, 1996. ,
DOI : 10.1118/1.597869
Scatter rejection by air gaps: An empirical model, Medical Physics, vol.12, issue.3, pp.308-324, 1985. ,
DOI : 10.1118/1.595690
Region of interest (ROI) computed tomography, Medical Imaging 2004: Physics of Medical Imaging, pp.534-575, 2004. ,
DOI : 10.1117/12.534568
Feasibility of volume-of-interest (VOI) scanning technique in cone beam breast CT-a preliminary study, Medical Physics, vol.50, issue.8, pp.3482-90, 2008. ,
DOI : 10.1088/0031-9155/50/8/012
Volume-of-interest (VOI) imaging in C-arm flat-detector CT for high image quality at reduced dose, Medical Physics, vol.29, issue.4, pp.2719-2749, 2010. ,
DOI : 10.3174/ajnr.A1237
Reduction in x-ray scatter and radiation dose for volume-of-interest (VOI) cone-beam breast CT???a phantom study, Physics in Medicine and Biology, vol.54, issue.21, pp.6691-709, 2009. ,
DOI : 10.1088/0031-9155/54/21/016
Focused beam-stop array for the measurement of scatter in megavoltage portal and cone beam CT imaging, Medical Physics, vol.9, issue.6Part1, pp.2452-2462, 2008. ,
DOI : 10.1109/IEMBS.2007.4352937
X-ray scatter suppression algorithm for conebeam volume CT, SPIE Proceedings, vol.13, pp.774-81, 2002. ,
X-ray scatter correction algorithm for cone beam CT imaging, Medical Physics, vol.1, issue.6, pp.1195-202, 2004. ,
DOI : 10.1364/JOSAA.1.000612
Simplified method of scatter correction using a beam-stop-array algorithm for cone-beam computed tomography breast imaging, Opt Eng, vol.47, issue.13, p.97003, 2008. ,
TU-D-I-611-07: A Scanning Sampled Measurement (SSM) Technique for Scatter Measurement and Correction in Cone Beam Breast CT, Medical Physics, vol.32, issue.6Part16, p.2093, 2005. ,
DOI : 10.1118/1.1998386
X-ray scatter correction for cone-beam CT using moving blocker array, Medical Imaging 2005: Physics of Medical Imaging, pp.251-259, 2005. ,
DOI : 10.1117/12.594699
Scatter Correction Method for X-Ray CT Using Primary Modulation: Theory and Preliminary Results, IEEE Transactions on Medical Imaging, vol.25, issue.12, pp.1573-1587, 2006. ,
DOI : 10.1109/TMI.2006.884636
Cone beam X-ray scatter removal via image frequency modulation and filtering, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, pp.1854-1857, 2005. ,
DOI : 10.1109/IEMBS.2005.1616811
Scatter correction method for x-ray CT using primary modulation: Phantom studies, Medical Physics, vol.25, issue.10, pp.934-980, 2010. ,
DOI : 10.1109/TMI.2006.882141
URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2826390/pdf
Accelerated simulation of cone beam X-ray scatter projections. TMI, pp.584-590, 2004. ,
X-ray scatter data for flat-panel detector CT, Physica Medica, vol.23, issue.1, pp.3-15, 2007. ,
DOI : 10.1016/j.ejmp.2006.12.004
Simulation of scatter in cone beam CT: effects on projection image quality, Medical Imaging 2003: Physics of Medical Imaging, pp.740-51, 2003. ,
DOI : 10.1117/12.479940
Impact of flat panel-imager veiling glare on scatterestimation accuracy and image quality of a commercial on-board cone-beam CT imaging system, Phys. Med. Biol, vol.39, issue.16, pp.5639-5651 ,
Characterization of scattered radiation in kV CBCT images using Monte Carlo simulations, Medical Physics, vol.8, issue.11, pp.4320-4329, 2006. ,
DOI : 10.1118/1.595027
Efficient Monte Carlo based scatter artifact reduction in cone-beam micro-CT, IEEE Transactions on Medical Imaging, vol.25, issue.7, pp.817-844, 2006. ,
DOI : 10.1109/TMI.2006.872328
Scatter correction for kilovoltage cone-beam computed tomography (CBCT) images using Monte Carlo simulations, Medical Imaging 2006: Physics of Medical Imaging, p.614254, 2006. ,
DOI : 10.1117/12.653803
Monte-Carlo scatter correction for cone-beam computed tomography with limited scan field-of-view, Medical Imaging 2008: Physics of Medical Imaging, p.69131, 2006. ,
DOI : 10.1117/12.771103
Fast Monte Carlo calculation of scatter corrections for CBCT images, Journal of Physics: Conference Series, vol.102, issue.14, p.12017, 2008. ,
DOI : 10.1088/1742-6596/102/1/012017
Variance reduction techniques for fast Monte Carlo CBCT scatter correction calculations, Physics in Medicine and Biology, vol.55, issue.16, pp.4495-507, 2010. ,
DOI : 10.1088/0031-9155/55/16/S05
Accelerating Monte Carlo simulations of photon transport in a voxelized geometry using a massively parallel graphics processing unit, Medical Physics, vol.175, issue.11, pp.4878-80, 2009. ,
DOI : 10.1016/j.cpc.2006.05.009
A GPU tool for efficient, accurate, and realistic simulation of cone beam CT projections, Medical Physics, vol.38, issue.12, pp.7368-78, 2012. ,
DOI : 10.1118/1.3591994
Extraction of primary signal from EPIDs using only forward convolution, Medical Physics, vol.42, issue.9, pp.1477-1484, 1920. ,
DOI : 10.1016/S0167-8140(96)01895-6
Correction of scatter in megavoltage cone-beam CT, Physics in Medicine and Biology, vol.46, issue.3, pp.821-833, 2001. ,
DOI : 10.1088/0031-9155/46/3/316
Algorithm for X-ray scatter, beamhardening , and beam profile correction in diagnostic (kilovoltage) and treatment (megavoltage) cone beam CT. TMI, pp.1791-1810, 2008. ,
Correction of cupping artifacts in megavoltage cone beam computed tomography, Department of Radiation Oncology, vol.15 ,
Scatter estimation for a digital radiographic system using convolution filtering, Medical Physics, vol.14, issue.2, pp.178-85, 1987. ,
DOI : 10.1118/1.596126
X-ray scatter removal by deconvolution, Medical Physics, vol.15, issue.4, pp.567-75, 1988. ,
DOI : 10.1118/1.596208
Scatter-glare correction using a convolution algorithm with variable weighting, Medical Physics, vol.14, issue.3, pp.330-334, 1987. ,
DOI : 10.1118/1.596088
A regional convolution kernel algorithm for scatter correction in dual-energy images: Comparison to single-kernel algorithms, Medical Physics, vol.21, issue.2, pp.175-84, 1994. ,
DOI : 10.1118/1.597297
A fast and pragmatic approach for scatter correction in flat-detector CT using elliptic modeling and iterative optimization, Physics in Medicine and Biology, vol.55, issue.1, pp.99-120, 2010. ,
DOI : 10.1088/0031-9155/55/1/007
A new method for x-ray scatter correction: first assessment on a cone-beam CT experimental setup, Physics in Medicine and Biology, vol.52, issue.15, pp.4633-4652, 2007. ,
DOI : 10.1088/0031-9155/52/15/018
Scattering correction using continuously thickness-adapted kernels, NDT & E International, vol.78, issue.64, pp.52-60, 2016. ,
DOI : 10.1016/j.ndteint.2015.11.004
URL : https://hal.archives-ouvertes.fr/hal-01272912
Hybrid scatter correction for CT imaging, Physics in Medicine and Biology, vol.57, issue.21, pp.6849-6867, 2012. ,
DOI : 10.1088/0031-9155/57/21/6849
Patient-specific scatter correction for flat-panel detector-based cone-beam CT imaging, Physics in Medicine and Biology, vol.60, issue.3, pp.1339-65, 2015. ,
DOI : 10.1088/0031-9155/60/3/1339
Scatter kernel estimation with an edge-spread function method for cone-beam computed tomography imaging, Histogram-driven cupping correction (HDCC) in CT. Proc. SPIE, pp.6729-6777, 2008. ,
DOI : 10.1088/0031-9155/53/23/006
Iterative scatter correction based on artifact assessment, Medical Imaging 2008: Physics of Medical Imaging, p.69132, 2008. ,
DOI : 10.1117/12.771029
A post-reconstruction method to correct cupping artifacts in cone beam breast computed tomography, Medical Physics, vol.17, issue.7, pp.3109-3127, 2007. ,
DOI : 10.1007/s10552-006-0071-1
Combination of high resolution analytically computed uncollided flux images with low resolution Monte Carlo computed scattered flux images, TNS, vol.51, pp.212-217, 2004. ,
Scattering correction in cone beam computed tomography using scatter kernel superposition, p.82 ,
Separable scatter model of the detector and??object contributions using continuously thickness-adapted kernels in CBCT, Journal of X-Ray Science and Technology, vol.55, issue.22, p.82, 2016. ,
DOI : 10.1088/0031-9155/55/22/007
URL : https://hal.archives-ouvertes.fr/hal-01438209
Convolution-based scatter correction using kernels combining measurements and Monte Carlo simulations, Journal of X-Ray Science and Technology, vol.39, issue.22, p.82, 2016. ,
DOI : 10.1118/1.4747260
An efficient Monte Carlo-based algorithm for scatter correction in keV cone-beam CT, Physics in Medicine and Biology, vol.54, issue.12, pp.3847-3864, 2009. ,
DOI : 10.1088/0031-9155/54/12/016
Monte Carlo simulation of an x-ray volume imaging cone beam CT unit, Medical Physics, vol.53, issue.1, pp.127-136, 2009. ,
DOI : 10.1088/0031-9155/53/11/005
A rapid noninvasive characterization of CT x-ray sources, Medical Physics, vol.54, issue.19, pp.3960-3968, 2015. ,
DOI : 10.1002/9783527617135
A robust method of x-ray source spectrum estimation from transmission measurements: Demonstrated on computer simulated, scatter-free transmission data, Journal of Applied Physics, vol.48, issue.12, p.83, 2005. ,
DOI : 10.1088/0031-9155/46/5/316
Correcting kernel tilting and hardening in convolution/superposition dose calculations for clinical divergent and polychromatic photon beams, Med. Phys, vol.24, pp.1729-1770, 1997. ,
La nature des matériaux et les épaisseurs traversées conduisent inévitablement à la génération de rayonnement diffusé Ce dernier est généré par l'objet mais également par le détecteur. La présence de rayonnement parasite conduit à ne plus respecter l'hypothèse de la loi de Beer-Lambert. Par conséquent, on voit apparaitre sur les coupes tomographiques des artefacts de reconstruction comme des streaks, des effets ventouses ou des valeurs d'atténuation linéaire erronée. Par conséquence, on retrouve dans la littérature de nombreuses méthodes de correction du diffusé. Ce travail vise à mettre en point et tester une méthode originale de correction du diffusé. Le premier chapitre de cette étude, dresse un état de l'art de la plupart des méthodes de corrections existantes. Nous proposons, dans le deuxième chapitre, une évolution de la méthode de superposition des noyaux de convolution (Scatter Kernel Superposition) Notre méthode repose sur une description continue des noyaux en fonction de l'épaisseur traversée. Dans cette méthode, les noyaux de diffusion sont paramétrés analytiquement sur toute la plage d'épaisseur. Le procédé a été testé pour des objets à la fois mono-matériaux et poly-matériaux, ainsi que sur des données expérimentales et simulées. Nous montrons dans le troisième chapitre l'importance de la contribution du diffusé détecteur dans la qualité de l'image reconstruite. Mais également l'importance de décrire les noyaux de convolution à l'aide d'un modèle à quatre gaussienne ,
Imagerie et de Simulation pour le Contrôle (DISC) Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS) Directeur de thèse: Jean Michel Létang Président de jury : Composition du jury Alessandro Olivo et Dimitris Visvikis Cette thèse est accessible à l'adresse : http://theses.insa-lyon ,