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Physics in medicine & biology, v.60 no.2, 2015년, pp.595 - 613
Landry, Guillaume , Dedes, George , Z？llner, Christoph , Handrack, Josefine , Janssens, Guillaume , Orban de Xivry, Jonathan , Reiner, Michael , Paganelli, Chiara , Riboldi, Marco , Kamp, Florian , S？hn, Matthias , Wilkens, Jan J , Baroni, Guido , Belka, Claus , Parodi, Katia
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The ability to perform dose recalculation on the anatomy of the day is important in the context of adaptive proton therapy. The objective of this study was to investigate the use of deformable image registration (DIR) and cone beam CT (CBCT) imaging to generate the daily stopping power distribution ...
Agostinelli S et al 2003 GEANT4-a simulation toolkit Nucl. Instrum. Methods Phys. Res. A 506 250–303 10.1016/S0168-9002(03)01368-8 GEANT4-a simulation toolkit Agostinelli S et al Nucl. Instrum. Methods Phys. Res. 0168-9002 506 A 2003 250 303
Barker J L et al 2004 Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system Int. J. Radiat. Oncol. Biol. Phys. 59 960–70 10.1016/j.ijrobp.2003.12.024 Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system Barker J L et al Int. J. Radiat. Oncol. Biol. Phys. 0360-3016 59 2004 960 970
Bentefour E et al 2010 TU-A-204B-02: On the potential of CBCT for range verification in proton therapy Med. Phys. 37 3370 10.1118/1.3469169 TU-A-204B-02: On the potential of CBCT for range verification in proton therapy Bentefour E et al Med. Phys. 0094-2405 37 2010 3370
Cheung W and Hamarneh G 2009 n-SIFT: n-Dimensional scale invariant feature transform IEEE Trans. Image Process. 18 2012–21 10.1109/TIP.2009.2024578 n-SIFT: n-Dimensional scale invariant feature transform Cheung W and Hamarneh G IEEE Trans. Image Process. 1057-7149 18 2009 2012 2021
Deasy J O et al 2003 CERR: a computational environment for radiotherapy research Med. Phys. 30 979–85 10.1118/1.1568978 CERR: a computational environment for radiotherapy research Deasy J O et al Med. Phys. 0094-2405 30 2003 979 985
Janssens G et al 2009 Evaluation of nonrigid registration models for interfraction dose accumulation in radiotherapy Med. Phys. 36 4268–76 10.1118/1.3194750 Evaluation of nonrigid registration models for interfraction dose accumulation in radiotherapy Janssens G et al Med. Phys. 0094-2405 36 2009 4268 4276
Janssens G et al 2011 Diffeomorphic registration of images with variable contrast enhancement J. Biomed. Imaging 2011 1–12 10.1155/2011/891585 Diffeomorphic registration of images with variable contrast enhancement Janssens G et al J. Biomed. Imaging 2011 2011 1 12
Kam M K et al 2007 Prospective randomized study of intensity-modulated radiotherapy on salivary gland function in early-stage nasopharyngeal carcinoma patients J. Clin. Oncol. 25 4873–9 10.1200/JCO.2007.11.5501 Prospective randomized study of intensity-modulated radiotherapy on salivary gland function in early-stage nasopharyngeal carcinoma patients Kam M K et al J. Clin. Oncol. 25 2007 4873 4879
Knutsson H and Andersson M 2005 Image Analysis ed H Kalviainen et al (Berlin: Springer) pp 292–301 10.1007/11499145_31 Knutsson H and Andersson M ed Kalviainen H et al Image Analysis 0302-9743 3540 2005 292 301
Kraan A C et al 2013 Dose uncertainties in IMPT for oropharyngeal cancer in the presence of anatomical, range and setup errors Int. J. Radiat. Oncol. Biol. Phys. 87 888–96 10.1016/j.ijrobp.2013.09.014 Dose uncertainties in IMPT for oropharyngeal cancer in the presence of anatomical, range and setup errors Kraan A C et al Int. J. Radiat. Oncol. Biol. Phys. 0360-3016 87 2013 888 896
Lowe D G 1999 Computer vision The Proc. of the Seventh IEEE Int. Conf. on (Kerkyra, 20–27 September 1999) 2 pp 1150–7 Computer vision Lowe D G The Proc. of the Seventh IEEE Int. Conf. on 2 1999 1150 1157
Lowe D 2004 Distinctive image features from scale-invariant keypoints Int. J. Comput. Vis. 60 91–110 10.1023/B:VISI.0000029664.99615.94 Distinctive image features from scale-invariant keypoints Lowe D Int. J. Comput. Vis. 0920-5691 60 2004 91 110
Paganelli C et al 2013a Quantification of organ motion based on an adaptive image-based scale invariant feature method Med. Phys. 40 111701 10.1118/1.4822486 Quantification of organ motion based on an adaptive image-based scale invariant feature method Paganelli C et al Med. Phys. 0094-2405 40 111701 2013
Paganelli C et al 2013b Scale invariant feature transform in adaptive radiation therapy: a tool for deformable image registration assessment and re-planning indication Phys. Med. Biol. 58 287–99 10.1088/0031-9155/58/2/287 Scale invariant feature transform in adaptive radiation therapy: a tool for deformable image registration assessment and re-planning indication Paganelli C et al Phys. Med. Biol. 0031-9155 58 2 287 2013 287 299
Paganetti H 2012 Range uncertainties in proton therapy and the role of Monte Carlo simulations Phys. Med. Biol. 57 R99–17 10.1088/0031-9155/57/11/R99 Range uncertainties in proton therapy and the role of Monte Carlo simulations Paganetti H Phys. Med. Biol. 0031-9155 57 11 R99 2012 R99 R17
Park S et al 2009 On-board CBCT/CBDT for image-guided proton therapy: initial performance evaluation Int. J. Radiat. Oncol. Biol. Phys. 75 S595–S6 10.1016/j.ijrobp.2009.07.1361 On-board CBCT/CBDT for image-guided proton therapy: initial performance evaluation Park S et al Int. J. Radiat. Oncol. Biol. Phys. 0360-3016 75 2009 S595 S6
Peroni M et al 2012 Automatic segmentation and online virtual CT in head-and-neck adaptive radiation therapy Int. J. Radiat. Oncol. Biol. Phys. 84 e427–33 10.1016/j.ijrobp.2012.04.003 Automatic segmentation and online virtual CT in head-and-neck adaptive radiation therapy Peroni M et al Int. J. Radiat. Oncol. Biol. Phys. 0360-3016 84 2012 e427 e433
Persoon L C G G et al 2011 A fast 3D gamma evaluation using a GPU utilizing texture memory for on-the-fly interpolations Med. Phys. 38 4032–5 10.1118/1.3595114 A fast 3D gamma evaluation using a GPU utilizing texture memory for on-the-fly interpolations Persoon L C G G et al Med. Phys. 0094-2405 38 2011 4032 4035
Schell S and Wilkens J J 2010 Advanced treatment planning methods for efficient radiation therapy with laser accelerated proton and ion beams Med. Phys. 37 5330–40 10.1118/1.3491406 Advanced treatment planning methods for efficient radiation therapy with laser accelerated proton and ion beams Schell S and Wilkens J J Med. Phys. 0094-2405 37 2010 5330 5340
Shackleford J A et al 2010 On developing B-spline registration algorithms for multi-core processors Phys. Med. Biol. 55 6329–51 10.1088/0031-9155/55/21/001 On developing B-spline registration algorithms for multi-core processors Shackleford J A et al Phys. Med. Biol. 0031-9155 55 21 001 2010 6329 6351
Simone C B et al 2011 Comparison of intensity-modulated radiotherapy, adaptive radiotherapy, proton radiotherapy and adaptive proton radiotherapy for treatment of locally advanced head and neck cancer Radiother. Oncol. 101 2nd 376–82 10.1016/j.radonc.2011.05.028 Comparison of intensity-modulated radiotherapy, adaptive radiotherapy, proton radiotherapy and adaptive proton radiotherapy for treatment of locally advanced head and neck cancer Simone C B et al Radiother. Oncol. 0167-8140 101 3 2011 376 382
Stock M et al 2009 Image quality and stability of image-guided radiotherapy (IGRT) devices: a comparative study Radiother. Oncol. J. Eur. Soc. Ther. Radiol. Oncol. 93 1–7 10.1016/j.radonc.2009.07.012 Image quality and stability of image-guided radiotherapy (IGRT) devices: a comparative study Stock M et al Radiother. Oncol. J. Eur. Soc. Ther. Radiol. Oncol. 93 2009 1 7
Trofimov A et al 2011 Interfractional variations in the setup of pelvic bony anatomy and soft tissue and their implications on the delivery of proton therapy for localized prostate cancer Int. J. Radiat. Oncol. Biol. Phys. 80 928–37 10.1016/j.ijrobp.2010.08.006 Interfractional variations in the setup of pelvic bony anatomy and soft tissue and their implications on the delivery of proton therapy for localized prostate cancer Trofimov A et al Int. J. Radiat. Oncol. Biol. Phys. 0360-3016 80 2011 928 937
van de Water T A et al 2011 Potential benefits of scanned intensity-modulated proton therapy versus advanced photon therapy with regard to sparing of the salivary glands in oropharyngeal cancer Int. J. Radiat. Oncol. Biol. Phys. 79 1216–24 10.1016/j.ijrobp.2010.05.012 Potential benefits of scanned intensity-modulated proton therapy versus advanced photon therapy with regard to sparing of the salivary glands in oropharyngeal cancer van de Water T A et al Int. J. Radiat. Oncol. Biol. Phys. 0360-3016 79 2011 1216 1224
van Kranen S et al 2013 Adaptive radiotherapy with an average anatomy model: evaluation and quantification of residual deformations in head and neck cancer patients Radiother. Oncol. 109 463–8 10.1016/j.radonc.2013.08.007 Adaptive radiotherapy with an average anatomy model: evaluation and quantification of residual deformations in head and neck cancer patients van Kranen S et al Radiother. Oncol. 0167-8140 109 2013 463 468
Veiga C et al 2014 Toward adaptive radiotherapy for head and neck patients: feasibility study on using CT-to-CBCT deformable registration for ‘dose of the day’ calculations Med. Phys. 41 031703 10.1118/1.4864240 Toward adaptive radiotherapy for head and neck patients: feasibility study on using CT-to-CBCT deformable registration for ‘dose of the day’ calculations Veiga C et al Med. Phys. 0094-2405 41 031703 2014
Wang W et al 2010 Clinical study of the necessity of replanning before the 25th fraction during the course of intensity-modulated radiotherapy for patients with nasopharyngeal carcinoma Int. J. Radiat. Oncol. Biol. Phys. 77 617–21 10.1016/j.ijrobp.2009.08.036 Clinical study of the necessity of replanning before the 25th fraction during the course of intensity-modulated radiotherapy for patients with nasopharyngeal carcinoma Wang W et al Int. J. Radiat. Oncol. Biol. Phys. 0360-3016 77 2010 617 621
Wrangsjo A et al 2005 Image Analysis ed H Kalviainen et al (Berlin: Springer) pp 501–10 10.1007/11499145_51 Wrangsjo A et al ed Kalviainen H et al Image Analysis 0302-9743 3540 2005 501 510
Wu Q et al 2009 Adaptive replanning strategies accounting for shrinkage in head and neck IMRT Int. J. Radiat. Oncol. Biol. Phys. 75 924–32 10.1016/j.ijrobp.2009.04.047 Adaptive replanning strategies accounting for shrinkage in head and neck IMRT Wu Q et al Int. J. Radiat. Oncol. Biol. Phys. 0360-3016 75 2009 924 932
Yang Y et al 2007 Evaluation of on-board kV cone beam CT (CBCT)-based dose calculation Phys. Med. Biol. 52 685–705 10.1088/0031-9155/52/3/011 Evaluation of on-board kV cone beam CT (CBCT)-based dose calculation Yang Y et al Phys. Med. Biol. 0031-9155 52 3 011 2007 685 705
Zhang T et al 2007 Automatic delineation of on-line head-and-neck computed tomography images: toward on-line adaptive radiotherapy Int. J. Radiat. Oncol. Biol. Phys. 68 522–30 10.1016/j.ijrobp.2007.01.038 Automatic delineation of on-line head-and-neck computed tomography images: toward on-line adaptive radiotherapy Zhang T et al Int. J. Radiat. Oncol. Biol. Phys. 0360-3016 68 2007 522 530
Zhen X et al 2012 CT to cone-beam CT deformable registration with simultaneous intensity correction Phys. Med. Biol. 57 6807–26 10.1088/0031-9155/57/21/6807 CT to cone-beam CT deformable registration with simultaneous intensity correction Zhen X et al Phys. Med. Biol. 0031-9155 57 21 6807 2012 6807 6826
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