Free Access
Volume 47, Number 4, Octobre-Décembre 2012
Page(s) 599 - 617
Section Articles
Published online 09 November 2012
  • Boldea V. (2006) Intégration de la respiration en radiothérapie : apport du recalage déformable d'images, Thèse de doctorat en informatique, Université Lumière Lyon 2. [Google Scholar]
  • Davies S.C., Hill A.L., Holmes R.B., Halliwell M., Jackson P.C. (1994) Ultrasound quantitation of respiratory organ motion in the upper abdomen, Br. J. Radiol. 67 (803), 1096-1102. [CrossRef] [PubMed] [Google Scholar]
  • Ehrhardt J., Werner R., Säring D., Frenzel T., Lu W., Low D.A., Handels H. (2007) An optical flow based method for improved reconstruction of 4DCT data sets acquired during free breathing, Medical Physics 34 (2), 711-721. [CrossRef] [PubMed] [Google Scholar]
  • Eom J., Xu X.G., De S., Shi C. (2010) Predictive modeling of lung motion over the entire respiratory cycle using measured pressure-volume data, 4DCT images, and finite-element analysis, Med. Phys. 37 (8), 4389-4400. [CrossRef] [PubMed] [Google Scholar]
  • Ford E.C., Mageras G.S., Yorke E., Rosenzweig K.E., Wagman R., Ling C.C. (2002) Evaluation of respiratory movement during gated radiotherapy using film and electronic portal imaging, Int. J. Radiat. Oncol. Biol. Phys. 52 (2), 522-531. [CrossRef] [PubMed] [Google Scholar]
  • Giraud P., De Rycke Y., Dubray B., Helfre S., Voican D., Guo L., Rosenwald J.C., Keraudy K., Housset M., Touboul E., Cosset J.M. (2001) Conformal radiotherapy (CRT) planning for lung cancer: analysis of intrathoracic organ motion during extreme phases of breathing, Int. J. Radiat. Oncol. Biol. Phys. 51 (4), 1081-1092. [CrossRef] [PubMed] [Google Scholar]
  • Hanley J., Debois M.M., Mah D., Mageras G.S., Raben A., Rosenzweig K.E., Mychalczak B., Schwartz L.H., Gloeggler P.J., Lutz W., Ling C.C., Leibel S.A., Fuks Z., Kutcher G.J. (1999) Deep inspiration breath-hold technique for lung tumors: the potential value of target immobilization and reduced lung density in dose escalation, Int. J. Radiat. Oncol. Biol. Phys. 45 (3), 603-611. [CrossRef] [PubMed] [Google Scholar]
  • Hostettler A., Nicolau S.A., Forest C., Soler L., Rémond Y. (2006) Real-time simulation of organ motions induced by breathing: First evaluation on patient data. In: ISBMS, Vol. 4072 of LNCS, pp. 9-18. [Google Scholar]
  • Hostettler A., Nicolau S., Soler L., Rémond Y., Marescaux J. (2008) A real-time predictive simulation of abdominal organ positions induced by free breathing. In: Biomedical Simulation, Springer Berlin / Heidelberg (Bello F., Edwards P., Eds), Vol. 5104 of LNCS, pp. 89-97. [Google Scholar]
  • Johnston E., Diehn M., Murphy J.D., Loo Jr B.W., Maxim P.G. (2011) Reducing 4DCT artifacts using optimized sorting based on anatomic similarity, Med. Phys. 38 (5), 2424-2429. [CrossRef] [MathSciNet] [PubMed] [Google Scholar]
  • Laurent R., Henriet J., Gschwind R., Makovicka L. (2010) A morphing technique applied to lung motions in radiotherapy: preliminary results, Acta Polytechnica 50 (6), 57-65. [Google Scholar]
  • Laurent R., Henriet J., Salomon M., Sauget M., Nguyen F., Gschwind R., Makovicka L. (2011) Simulation of lung motions using an artificial neural network, Cancer Radiothérapie 15 (2), 123-129. [CrossRef] [Google Scholar]
  • Laurent R., Henriet J., Salomon M., Sauget M., Gschwind R., Makovicka L. (2012) Respiratory lung motion using an artificial neural network, Neural Comput. Applic. 21 (5), 929-934, DOI:10.1007/s00521-011-0727-y. [Google Scholar]
  • Liu H.H., Balter P., Tutt T., Choi B., Zhang J., Wang C., Chi M., Luo D., Pan T., Hunjan S., Starkschall G., Rosen I., Prado K., Liao Z., Chang J., Komaki R., Cox J.D., Mohan R., Dong L. (2007) Assessing respiration-induced tumor motion and internal target volume using four-dimensional computed tomography for radiotherapy of lung cancer, Int. J. Radiat. Oncol. Biol. Phys. 68 (2), 531-540. [CrossRef] [PubMed] [Google Scholar]
  • Louie A.V., Rodrigues G., Olsthoorn J., Palma D., Yu E., Yaremko B., Ahmad B., Aivas I., Gaede S. (2010) Inter-observer and intra-observer reliability for lung cancer target volume delineation in the 4D-CT era, Radiother. Oncol. 95 (2), 166-171. [CrossRef] [PubMed] [Google Scholar]
  • Low D.A., Parikh P.J., Lu W., Dempsey J.F., Wahab S.H., Hubenschmidt J.P., Nystrom M.M., Handoko M., Bradley J.D. (2005) Novel breathing motion model for radiotherapy, Int. J. Radiat. Oncol. Biol. Phys 63 (3), 921-929. [CrossRef] [PubMed] [Google Scholar]
  • Low D.A., Nystrom M., Kalinin E., Parikh P., Dempsey J.F., Bradley J.D., Mutic S., Wahab S.H., Islam T., Christensen G., Politte D.G., Whiting B.R. (2003) A method for the reconstruction of four-dimensional synchronized CT scans acquired during free breathing, Med. Phys. 30 (6), 1254-1263. [CrossRef] [PubMed] [Google Scholar]
  • Murphy M.J., Martin D., Whyte R., Hai J., Ozhasoglu C., Le Q.T. (2002) The effectiveness of breath-holding to stabilize lung and pancreas tumors during radiosurgery, Int. J. Radiat. Oncol. Biol. Phys. 53 (2), 475-482. [CrossRef] [PubMed] [Google Scholar]
  • Persson G.F., Nygaard D.E., Brink C., Jahn J.W., Rosenschöld P.M., Specht L., Korreman S.S. (2010) Deviations in delineated GTV caused by artefacts in 4DCT, Radiother. Oncol. 96 (1), 61-66. [CrossRef] [PubMed] [Google Scholar]
  • Redmond K.J., Song D.Y., Fox J.L., Zhou J., Rosenzweig C.N., Ford E. (2009) Respiratory motion changes of lung tumors over the course of radiation therapy based on respiration-correlated four-dimensional computed tomography scans, Int. J. Radiat. Oncol. Biol. Phys. 75 (5), 1605-1612. [CrossRef] [PubMed] [Google Scholar]
  • Rietzel E., Pan T., Chen G.T.Y. (2005) Four-dimensional computed tomography: Image formation and clinical protocol, Med. Phys. 32 (4), 874-889. [CrossRef] [PubMed] [Google Scholar]
  • Sarker J., Chu A., Mui K., Wolfgang J.A., Hirsch A.E., Chen G.T.Y., Sharp G.C. (2010) Variations in tumor size and position due to irregular breathing in 4D-CT: A simulation study, Med. Phys. 37, 3, 1254-1260. [CrossRef] [PubMed] [Google Scholar]
  • Simon L. (2006) Etude comparative et mise en œuvre clinique de deux systèmes de radiothérapie asservie à la respiration, Thèse de doctorat de physique radiologique et médicale, Université de Paris XI - Faculté de Médecine de Paris-Sud. [Google Scholar]
  • Vandemeulebroucke J., Sarrut D., Clarysse P. (2007) The popi-model, a point-validated pixel-based breathing thorax model. In: XVth International Conference on the Use of Computers in Radiation Therapy (ICCR 2007), Toronto, Canada, 4-7 June. [Google Scholar]
  • Vandemeulebroucke J., Rit S., Kybic J., Clarysse P., Sarrut D. (2011) Spatiotemporal motion estimation for respiratory-correlated imaging of the lungs, Med. Phys. 38 (1), 166-178. [CrossRef] [PubMed] [Google Scholar]
  • Van de Steene J., Van den Heuvel F., Bel A., Verellen D., De Mey J., Noppen M., De Beukeleer M., Storme G. (1998) Electronic portal imaging with on-line correction of setup error in thoracic irradiation: clinical evaluation, Int. J. Radiat. Oncol. Biol. Phys. 40 (4), 967-976. [CrossRef] [PubMed] [Google Scholar]
  • Villard P.F. (2006) Simulation du Mouvement Pulmonaire pour un Traitement Oncologique, Thèse de doctorat en informatique n°165-2006, Université Claude Bernard. [Google Scholar]
  • Yamamoto T., Langner U., Loo Jr B.W., Shen J., Keall P.J. (2008) Retrospective analysis of artifacts in four-dimensional CT images of 50 abdominal and thoracic radiotherapy patients, Int. J. Rad. Oncol. Biol. Phys. 72 (4), 1250-1258. [CrossRef] [Google Scholar]
  • Yang D., Lu W., Low D.A., Deasy J.O., Hope A.J., El Naqa I. (2008) 4DCT motion estimation using deformable image registration and 5D respiratory motion modeling, Med. Phys. 35 (10), 4577-4590. [CrossRef] [PubMed] [Google Scholar]
  • Zeng R., Fessler J.A., Balter J.M., Balter P.A. (2008) Iterative sorting for four dimensional CT images based on internal anatomy motion, Med. Phys. 35 (3), 917-926. [CrossRef] [PubMed] [Google Scholar]
  • Zhao T., Lu W., Yang D., Mutic S., Noel C.E., Parikh P.J., Bradley J.D., Low D.A. (2009) Characterization of free breathing patterns with 5D lung motion model, Med. Phys. 36 (11) , 5183-5189. [CrossRef] [PubMed] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.