L. Cartier, M. Alfonsi, N. Pourel, E. Jaegle, and B. Chauvet, Imagerie de contrôle de positionnement : quelle fréquence pour quel objectif ? Cancer/Radiothérapie, pp.5-6439, 2012.
DOI : 10.1016/j.canrad.2012.06.003

G. Delpon, S. Chiavassa, S. Supiot, C. Boutry, J. Darréon et al., ??tat des lieux des dispositifs et des pratiques de radioth??rapie guid??e par l???image en France en 2015, Cancer/Radioth??rapie, vol.19, issue.6-7, pp.6-7501, 2015.
DOI : 10.1016/j.canrad.2015.05.022

R. De-crevoisier, B. Chauvet, I. Barillot, C. Lafond, M. Mahé et al., Radioth??rapie guid??e par l???image, Cancer/Radioth??rapie, vol.20, pp.27-35, 2016.
DOI : 10.1016/j.canrad.2016.07.034

D. Jaffray, J. Siewerdsen, J. Wong, and A. Martinez, Flat-panel cone-beam computed tomography for image-guided radiation therapy, International Journal of Radiation Oncology*Biology*Physics, vol.53, issue.5, pp.1337-1386, 2002.
DOI : 10.1016/S0360-3016(02)02884-5

L. Feldkamp, L. Davis, and J. Kress, Practical cone-beam algorithm, Journal of the Optical Society of America A, vol.1, issue.6, pp.612-621, 1984.
DOI : 10.1364/JOSAA.1.000612
URL : http://www.engineering.uiowa.edu/~mchen/reconstruction/practical feldkamp.pdf

C. Veiga, J. Mcclelland, S. Moinuddin, A. Lourenço, K. Ricketts et al., Toward adaptive radiotherapy for head and neck patients: Feasibility study on using CT-to-CBCT deformable registration for ???dose of the day??? calculations, Medical Physics, vol.89, issue.8, p.31703, 2014.
DOI : 10.1016/S1077-3142(03)00002-X

V. Kong, A. Marshall, and H. Chan, Cone Beam Computed Tomography: The Challenges and Strategies in Its Application for Dose Accumulation, Journal of Medical Imaging and Radiation Sciences, vol.47, issue.1, pp.92-99, 2016.
DOI : 10.1016/j.jmir.2015.09.012

J. Chen, O. Morin, M. Aubin, M. Bucci, C. Chuang et al., Dose-guided radiation therapy with megavoltage cone-beam CT, The British Journal of Radiology, vol.79, issue.special_issue_1, 2006.
DOI : 10.1088/0031-9155/46/8/402
URL : http://radonc.ucsf.edu/research_group/jpouliot/PDF007/BJR_DGRT.pdf

M. Van-zijtveld, M. Dirkx, and B. Heijmen, Correction of conebeam CT values using a planning CT for derivation of the ???dose of the day???, Radiotherapy and Oncology, vol.85, issue.2, pp.195-200, 2007.
DOI : 10.1016/j.radonc.2007.08.010

G. Cazoulat, M. Lesaunier, A. Simon, P. Haigron, O. Acosta et al., De la radioth??rapie guid??e par l???image ?? la radioth??rapie guid??e par la dose, Cancer/Radioth??rapie, vol.15, issue.8, pp.691-699, 2011.
DOI : 10.1016/j.canrad.2011.05.011

G. Louvel, G. Cazoulat, E. Chajon, L. Maître, A. Simon et al., Radioth??rapie guid??e par l???image et adaptative, Cancer/Radioth??rapie, vol.16, issue.5-6, pp.5-6423, 2012.
DOI : 10.1016/j.canrad.2012.07.177

J. Barker, A. Garden, K. Ang, O. Daniel, J. Wang et al., Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system, International Journal of Radiation Oncology*Biology*Physics, vol.59, issue.4, pp.960-70, 2004.
DOI : 10.1016/j.ijrobp.2003.12.024

P. Castadot, J. Lee, X. Geets, and V. Grégoire, Adaptive Radiotherapy of Head and Neck Cancer, Seminars in Radiation Oncology, vol.20, issue.2, pp.84-93, 2010.
DOI : 10.1016/j.semradonc.2009.11.002

D. Schwartz, A. Garden, J. Thomas, Y. Chen, Y. Zhang et al., Adaptive Radiotherapy for Head-and-Neck Cancer: Initial Clinical Outcomes From a Prospective Trial, International Journal of Radiation Oncology*Biology*Physics, vol.83, issue.3, pp.986-93, 2012.
DOI : 10.1016/j.ijrobp.2011.08.017

J. Castelli, A. Simon, G. Louvel, O. Henry, E. Chajon et al., Impact of head and neck cancer adaptive radiotherapy to spare the parotid glands and decrease the risk of xerostomia, Radiation Oncology, vol.10, issue.1, p.6, 2015.
DOI : 10.1016/j.oraloncology.2010.03.008
URL : https://hal.archives-ouvertes.fr/hal-01139625

C. Brouwer, R. Steenbakkers, J. Langendijk, and N. Sijtsema, Identifying patients who may benefit from adaptive radiotherapy: Does the literature on anatomic and dosimetric changes in head and neck organs at risk during radiotherapy provide information to help?, Radiotherapy and Oncology, vol.115, issue.3, pp.285-94, 2015.
DOI : 10.1016/j.radonc.2015.05.018

S. Huger, P. Graff, V. Marchesi, G. Vogin, L. Guinement et al., Radioth??rapie adaptative des cancers ORL??: un outil permettant d???identifier les patients n??cessitant une adaptation de leur traitement, Cancer/Radioth??rapie, vol.19, issue.6-7, pp.6-7463, 2015.
DOI : 10.1016/j.canrad.2015.06.017

D. Létourneau, R. Wong, D. Moseley, M. Sharpe, S. Ansell et al., Online planning and delivery technique for radiotherapy of spinal metastases using cone-beam CT: Image quality and system performance, International Journal of Radiation Oncology*Biology*Physics, vol.67, issue.4, pp.1229-1266, 2007.
DOI : 10.1016/j.ijrobp.2006.09.058

Q. Wu, C. Y. Chen, P. Krauss, D. Yan, D. Martinez et al., Adaptive Replanning Strategies Accounting for Shrinkage in Head and Neck IMRT, International Journal of Radiation Oncology*Biology*Physics, vol.75, issue.3, pp.924-956, 2009.
DOI : 10.1016/j.ijrobp.2009.04.047

M. Held, F. Cremers, P. Sneed, S. Braunstein, S. Fogh et al., Assessment of image quality and dose calculation accuracy on kV CBCT, MV CBCT, and MV CT images for urgent palliative radiotherapy treatments, Journal of Applied Clinical Medical Physics, vol.12, issue.1, 2016.
DOI : 10.1120/jacmp.v12i1.3348

T. Li, D. Thongphiew, X. Zhu, W. Lee, Z. Vujaskovic et al., Adaptive prostate IGRT combining online re-optimization and re-positioning: a feasibility study, Physics in Medicine and Biology, vol.56, issue.5, pp.1243-58, 2011.
DOI : 10.1088/0031-9155/56/5/002

A. Ahnesjo and M. Aspradakis, Dose calculations for external photon beams in radiotherapy, Physics in Medicine and Biology, vol.44, issue.11, pp.99-155, 1999.
DOI : 10.1088/0031-9155/44/11/201

S. Thomas, Relative electron density calibration of CT scanners for radiotherapy treatment planning., The British Journal of Radiology, vol.129, issue.860, pp.781-787, 1999.
DOI : 10.1148/129.3.787

R. Schulze, U. Heil, D. Gro?, D. Bruellmann, E. Dranischnikow et al., Artefacts in CBCT: a review, Dentomaxillofacial Radiology, vol.24, issue.5, pp.265-73, 2011.
DOI : 10.1109/TNS.2005.852703

J. Shepherd, Applications of linac-mounted kilovoltage Cone-beam Computed Tomography in modern radiation therapy: A review, Polish Journal of Radiology, vol.79, pp.181-93, 2014.
DOI : 10.12659/PJR.890745

Y. Yang, E. Schreibmann, T. Li, C. Wang, and L. Xing, Evaluation of on-board kV cone beam CT (CBCT)-based dose calculation, Physics in Medicine and Biology, vol.52, issue.3, pp.685-705, 2007.
DOI : 10.1088/0031-9155/52/3/011

R. Thing, U. Bernchou, E. Mainegra-hing, O. Hansen, and C. Brink, Hounsfield unit recovery in clinical cone beam CT images of the thorax acquired for image guided radiation therapy, Physics in Medicine and Biology, vol.61, issue.15, pp.5781-802, 2016.
DOI : 10.1088/0031-9155/61/15/5781

M. De-smet, D. Schuring, S. Nijsten, and F. Verhaegen, Accuracy of dose calculations on kV cone beam CT images of lung cancer patients, Medical Physics, vol.190, issue.1, pp.5934-5975, 2016.
DOI : 10.1007/s00066-013-0464-5

G. Poludniowski, P. Evans, and S. Webb, Cone Beam Computed Tomography Number Errors and Consequences for Radiotherapy Planning: An Investigation of Correction Methods, International Journal of Radiation Oncology*Biology*Physics, vol.84, issue.1, pp.109-123, 2012.
DOI : 10.1016/j.ijrobp.2012.02.019

E. Ali, R. Webb, and B. Nyiri, Rotational artifacts in on-board cone beam computed tomography, Physics in Medicine and Biology, vol.60, issue.4, pp.1461-76, 2015.
DOI : 10.1088/0031-9155/60/4/1461

W. Lu, G. Olivera, Q. Chen, K. Ruchala, J. Haimerl et al., Deformable registration of the planning image (kVCT) and the daily images (MVCT) for adaptive radiation therapy, Physics in Medicine and Biology, vol.51, issue.17, pp.4357-74, 2006.
DOI : 10.1088/0031-9155/51/17/015

J. Hou, M. Guerrero, W. Chen, D. Souza, and W. , Deformable planning CT to cone-beam CT image registration in head-and-neck cancer, Medical Physics, vol.52, issue.4, p.2088, 2011.
DOI : 10.1088/0031-9155/52/19/003

X. Li, Y. Zhang, Y. Shi, S. Wu, Y. Xiao et al., Comprehensive evaluation of ten deformable image registration algorithms for contour propagation between CT and cone-beam CT images in adaptive head & neck radiotherapy, PLOS ONE. 2017, p.175906
DOI : 10.1371/journal.pone.0175906.t003

C. Hvid, U. Elstrøm, K. Jensen, M. Alber, and C. Grau, Accuracy of software-assisted contour propagation from planning CT to cone beam CT in head and neck radiotherapy, Acta Oncologica, vol.55, issue.11, pp.1324-1354, 2016.
DOI : 10.1016/j.radonc.2015.07.041

A. Woerner, M. Choi, M. Harkenrider, J. Roeske, and M. Surucu, Evaluation of Deformable Image Registration-Based Contour Propagation From Planning CT to Cone-Beam CT, Technology in Cancer Research & Treatment, vol.16, issue.6, 2017.
DOI : 10.1186/s13014-015-0372-1

M. Peroni, D. Ciardo, M. Spadea, M. Riboldi, S. Comi et al., Automatic Segmentation and Online virtualCT in Head-and-Neck Adaptive Radiation Therapy, International Journal of Radiation Oncology*Biology*Physics, vol.84, issue.3, pp.427-460, 2012.
DOI : 10.1016/j.ijrobp.2012.04.003

K. Nie, J. Pouliot, E. Smith, and C. Chuang, Performance variations among clinically available deformable image registration tools in adaptive radiotherapy - how should we evaluate and interpret the result?, Journal of Applied Clinical Medical Physics, vol.40, issue.1, pp.328-368, 2016.
DOI : 10.1118/1.4771963

J. Hatton, B. Mccurdy, and P. Greer, Cone beam computerized tomography: the effect of calibration of the Hounsfield unit number to electron density on dose calculation accuracy for adaptive radiation therapy, Physics in Medicine and Biology, vol.54, issue.15, pp.329-375, 2009.
DOI : 10.1088/0031-9155/54/15/N01

H. Guan and H. Dong, Dose calculation accuracy using cone-beam CT (CBCT) for pelvic adaptive radiotherapy, Physics in Medicine and Biology, vol.54, issue.20, pp.6239-50, 2009.
DOI : 10.1088/0031-9155/54/20/013

K. Seet, A. Barghi, S. Yartsev, and J. Van-dyk, The effects of field-of-view and patient size on CT numbers from cone-beam computed tomography, Physics in Medicine and Biology, vol.54, issue.20, pp.6251-62, 2009.
DOI : 10.1088/0031-9155/54/20/014

Y. Rong, J. Smilowitz, D. Tewatia, W. Tomé, and B. Paliwal, Dose Calculation on KV Cone Beam CT Images: An Investigation of the Hu-Density Conversion Stability and Dose Accuracy Using the Site-Specific Calibration, Medical Dosimetry, vol.35, issue.3, pp.195-207, 2010.
DOI : 10.1016/j.meddos.2009.06.001

S. Elstrøm, The impact of CBCT reconstruction and calibration for radiotherapy planning in the head and neck region ??? a phantom study, Acta Oncologica, vol.53, issue.8, pp.1114-1138, 2014.
DOI : 10.3109/0284186X.2010.503662

U. Schneider, E. Pedroni, and A. Lomax, The calibration of CT Hounsfield units for radiotherapy treatment planning, Physics in Medicine and Biology, vol.41, issue.1, pp.111-135, 1996.
DOI : 10.1088/0031-9155/41/1/009

J. Li, W. Yao, Y. Xiao, and Y. Yu, Feasibility of improving cone-beam CT number consistency using a scatter correction algorithm, Journal of Applied Clinical Medical Physics, vol.53, issue.11, 2013.
DOI : 10.1088/0031-9155/53/11/009

A. Davis and A. Palmer, Nisbet ACan CT scan protocols used for radiotherapy treatment planning be adjusted to optimise image quality and patient dose? A systematic review

G. Ding, D. Duggan, C. Coffey, M. Deeley, D. Hallahan et al., A study on adaptive IMRT treatment planning using kV cone-beam CT, Radiotherapy and Oncology, vol.85, issue.1, pp.116-141, 2007.
DOI : 10.1016/j.radonc.2007.06.015

A. Dunlop, D. Mcquaid, S. Nill, J. Murray, G. Poludniowski et al., Vergleich unterschiedlicher CT-Kalibrierungsmethoden zur Dosisberechnung auf Basis der Kegelstrahlcomputertomographie, Strahlentherapie und Onkologie, vol.24, issue.12, pp.970-978, 2015.
DOI : 10.1016/j.clon.2011.11.006

S. Yoo and F. Yin, Dosimetric feasibility of cone-beam CT-based treatment planning compared to CT-based treatment planning, International Journal of Radiation Oncology*Biology*Physics, vol.66, issue.5, pp.1553-61, 2006.
DOI : 10.1016/j.ijrobp.2006.08.031

A. Richter, Q. Hu, D. Steglich, K. Baier, J. Wilbert et al., Investigation of the usability of conebeam CT data sets for dose calculation, Radiation Oncology, vol.3, issue.1, p.42, 2008.
DOI : 10.1186/1748-717X-3-42

W. Hu, J. Ye, J. Wang, X. Ma, and Z. Zhang, Use of kilovoltage X-ray volume imaging in patient dose calculation for head-and-neck and partial brain radiation therapy, Radiation Oncology, vol.5, issue.1, p.1, 2010.
DOI : 10.1186/1748-717X-5-29

A. Barateau, C. Garlopeau, A. Cugny, D. Figueiredo, B. Dupin et al., Dose calculation accuracy of different image value to density tables for cone-beam CT planning in head & neck and pelvic localizations, Physica Medica, vol.31, issue.2, pp.146-51, 2015.
DOI : 10.1016/j.ejmp.2014.12.007

Y. Onozato, N. Kadoya, Y. Fujita, K. Arai, S. Dobashi et al., Evaluation of On-Board kV Cone Beam Computed Tomography???Based Dose Calculation With Deformable Image Registration Using Hounsfield Unit Modifications, International Journal of Radiation Oncology*Biology*Physics, vol.89, issue.2, pp.416-439, 2014.
DOI : 10.1016/j.ijrobp.2014.02.007

I. Fotina, J. Hopfgartner, M. Stock, T. Steininger, C. Lütgendorf-caucig et al., Feasibility of CBCT-based dose calculation: Comparative analysis of HU adjustment techniques, Radiotherapy and Oncology, vol.104, issue.2, pp.249-56, 2012.
DOI : 10.1016/j.radonc.2012.06.007

B. Disher, G. Hajdok, A. Wang, J. Craig, S. Gaede et al., Correction for ???artificial??? electron disequilibrium due to cone-beam CT density errors: implications for on-line adaptive stereotactic body radiation therapy of lung, Physics in Medicine and Biology, vol.58, issue.12, pp.4157-74, 2013.
DOI : 10.1088/0031-9155/58/12/4157

J. Thirion, Image matching as a diffusion process: an analogy with Maxwell's demons, Medical Image Analysis, vol.2, issue.3, pp.243-60, 1998.
DOI : 10.1016/S1361-8415(98)80022-4

U. Elstrøm, L. Muren, J. Petersen, and C. Grau, Evaluation of image quality for different kV cone-beam CT acquisition and reconstruction methods in the head and neck region, Acta Oncologica, vol.5, issue.6, pp.908-925, 2011.
DOI : 10.1120/jacmp.2022.25310

M. Moteabbed, G. Sharp, Y. Wang, A. Trofimov, J. Efstathiou et al., Validation of a deformable image registration technique for cone beam CT-based dose verification, Medical Physics, vol.57, issue.21
DOI : 10.1088/0031-9155/57/21/6981

M. Murphy, F. Salguero, J. Siebers, D. Staub, and C. Vaman, A method to estimate the effect of deformable image registration uncertainties on daily dose mapping, Medical Physics, vol.33, issue.3, pp.573-580, 2012.
DOI : 10.1007/978-1-4899-3324-9

R. Varadhan, G. Karangelis, K. Krishnan, and S. Hui, A framework for deformable image registration validation in radiotherapy clinical applications, Journal of Applied Clinical Medical Physics, vol.26, issue.6, p.4066, 2013.
DOI : 10.1109/TMI.2007.892646

P. Castadot, J. Lee, A. Parraga, X. Geets, B. Macq et al., Comparison of 12 deformable registration strategies in adaptive radiation therapy for the treatment of head and neck tumors, Radiotherapy and Oncology, vol.89, issue.1, pp.1-12, 2008.
DOI : 10.1016/j.radonc.2008.04.010

N. Kirby, C. Chuang, U. Ueda, and J. Pouliot, The need for application-based adaptation of deformable image registration, Medical Physics, vol.10, issue.4, p.11702, 2012.
DOI : 10.1016/j.media.2005.03.003

B. Rigaud, A. Simon, J. Castelli, M. Gobeli, O. Arango et al., Evaluation of Deformable Image Registration Methods for Dose Monitoring in Head and Neck Radiotherapy, BioMed Research International, vol.14, issue.4-5, pp.1-16, 2015.
DOI : 10.1118/1.4747270
URL : https://hal.archives-ouvertes.fr/hal-01139622

G. Cazoulat, A. Simon, A. Dumenil, K. Gnep, D. Crevoisier et al., Surface-Constrained Nonrigid Registration for Dose Monitoring in Prostate Cancer Radiotherapy, IEEE Transactions on Medical Imaging, vol.33, issue.7, pp.1464-74, 2014.
DOI : 10.1109/TMI.2014.2314574
URL : https://hal.archives-ouvertes.fr/inserm-00978107

J. Pukala, P. Johnson, A. Shah, K. Langen, F. Bova et al., Benchmarking of five commercial deformable image registration algorithms for head and neck patients, Journal of Applied Clinical Medical Physics, vol.40, issue.4, pp.25-40, 2016.
DOI : 10.1118/1.4793723

C. Kurz, G. Dedes, A. Resch, M. Reiner, U. Ganswindt et al., Comparing cone-beam CT intensity correction methods for dose recalculation in adaptive intensity-modulated photon and proton therapy for head and neck cancer, Acta Oncologica, vol.54, issue.9, pp.1651-1658, 2015.
DOI : 10.1088/0031-9155/58/2/287

D. Low, W. Harms, S. Mutic, and J. Purdy, A technique for the quantitative evaluation of dose distributions, Medical Physics, vol.23, issue.5, pp.656-61, 1998.
DOI : 10.1118/1.597714

M. Hussein, C. Clark, and A. Nisbet, Challenges in calculation of the gamma index in radiotherapy ??? Towards good practice, Physica Medica, vol.36, pp.1-11, 2017.
DOI : 10.1016/j.ejmp.2017.03.001

B. Nelms, H. Zhen, and W. Tomé, Per-beam, planar IMRT QA passing rates do not predict clinically relevant patient dose errors, Medical Physics, vol.37, issue.6, pp.1037-1081, 2011.
DOI : 10.1118/1.3425781
URL : http://europepmc.org/articles/pmc3188652?pdf=render

A. Bakai, M. Alber, and F. Nusslin, A revision of the ??-evaluation concept for the comparison of dose distributions, Physics in Medicine and Biology, vol.48, issue.21, pp.3543-53, 2003.
DOI : 10.1088/0031-9155/48/21/006

B. Blanpain and D. Mercier, The delta envelope: A technique for dose distribution comparison, Medical Physics, vol.60, issue.3, 2009.
DOI : 10.1016/S0167-8140(01)00377-2
URL : https://hal.archives-ouvertes.fr/hal-00365312

P. Alaei and E. Spezi, Imaging dose from cone beam computed tomography in radiation therapy, Physica Medica, vol.31, issue.7, pp.647-58, 2015.
DOI : 10.1016/j.ejmp.2015.06.003
URL : https://doi.org/10.1016/j.ejmp.2015.06.003

G. Delpon, L. Aubignac, C. Bramoullé, C. Boutry, L. Guérin et al., Radiothérapie guidée par l'image

J. P. Bissonnette, P. A. Balter, L. Dong, K. M. Langen, D. M. Lovelock et al., Quality assurance for image-guided radiation therapy utilizing CT-based technologies: A report of the AAPM TG-179, Medical Physics, vol.66, issue.4, pp.1946-63, 2012.
DOI : 10.1016/j.ijrobp.2006.03.026

J. Castelli, A. Simon, B. Rigaud, C. Lafond, E. Chajon et al., A Nomogram to predict parotid gland overdose in head and neck IMRT, Radiation Oncology, vol.64, issue.8, 2016.
DOI : 10.1016/j.ijrobp.2005.06.042
URL : https://hal.archives-ouvertes.fr/hal-01343168

L. Lee, Q. Le, and L. Xing, Retrospective IMRT Dose Reconstruction Based on Cone-Beam CT and MLC Log-File, International Journal of Radiation Oncology*Biology*Physics, vol.70, issue.2, pp.634-678, 2008.
DOI : 10.1016/j.ijrobp.2007.09.054

W. Van-elmpt, S. Petit, D. Ruysscher, D. Lambin, P. Dekker et al., 3D dose delivery verification using repeated cone-beam imaging and EPID dosimetry for stereotactic body radiotherapy of non-small cell lung cancer, Radiotherapy and Oncology, vol.94, issue.2, pp.188-94, 2010.
DOI : 10.1016/j.radonc.2009.12.024

A. Mcpartlin, X. Li, L. Kershaw, H. U. Kerkmeijer, L. Lawton et al., MRI-guided prostate adaptive radiotherapy ??? A systematic review, Radiotherapy and Oncology, vol.119, issue.3, pp.371-80, 2016.
DOI : 10.1016/j.radonc.2016.04.014

M. Schmidt and G. Payne, Radiotherapy planning using MRI, Physics in Medicine and Biology, vol.60, issue.22, pp.323-61, 2015.
DOI : 10.1088/0031-9155/60/22/R323

X. Zhen, H. Yan, L. Zhou, X. Jia, and S. Jiang, Deformable image registration of CT and truncated cone-beam CT for adaptive radiation therapy, Physics in Medicine and Biology, vol.58, issue.22, pp.7979-93, 2013.
DOI : 10.1088/0031-9155/58/22/7979

G. Poludniowski, P. Evans, V. Hansen, and S. Webb, An efficient Monte Carlo-based algorithm for scatter correction in keV cone-beam CT, Physics in Medicine and Biology, vol.54, issue.12, pp.3847-64, 2009.
DOI : 10.1088/0031-9155/54/12/016