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Journal Article

  1. [GIRA-18a]“A first-in-human study investigating biodistribution, safety and recommended dose of a new radiolabeled MAb targeting FZD10 in metastatic synovial sarcoma patients.”, BMC Cancer, vol. 18, p. 646, 2018.PDF icon Giraudet2018.pdf (2.02 MB)
  2. [CAJG-18]“Fixed forced detection for fast SPECT Monte-Carlo simulation.”, Phys Med Biol, 2018.
    http://www.creatis.insa-lyon.fr/~srit/biblio/cajgfinger2018.pdf
  3. [SARR-18]“Learning SPECT detector angular response function with neural network for accelerating Monte-Carlo simulations.”, Phys Med Biol, vol. 63, p. 205013, 2018.PDF icon Sarrut2018.pdf (1.13 MB)
  4. [VOGI-18]“Concepts and terms for dose/volume parameters in carbon-ion radiotherapy: Conclusions of the ULICE taskforce.”, Cancer Radiother, 2018.PDF icon Vogin2018.pdf (921.13 KB)
  5. [HALT-18]“Image-based SPECT calibration based on the evaluation of the Fraction of Activity in the Field of View.”, EJNMMI Phys, vol. 5, p. 11, 2018.PDF icon Halty2018.pdf (3.38 MB)
  6. [VERH-17]“ESTRO ACROP: Technology for precision small animal radiotherapy research: Optimal use and challenges.”, Radiother Oncol, 2017.
  7. [SARR-17]“3D absorbed dose distribution estimated by Monte Carlo simulation in radionuclide therapy with a monoclonal antibody targeting synovial sarcoma.”, EJNMMI Phys, vol. 4, p. 6, 2017.
    https://www.creatis.insa-lyon.fr/~dsarrut/articles/Sarrut2017.pdf
  8. [SARR-17a]“Deformable image registration applied to lung SBRT: Usefulness and limitations.”, Phys Med, vol. 44, pp. 108-112, 2017.
    https://www.creatis.insa-lyon.fr/~dsarrut/articles/Sarrut2017b.pdf
  9. [SARR-17b]“Voxel-based multimodel fitting method for modeling time activity curves in SPECT images.”, Med Phys, vol. 44, pp. 6280–6288, 2017.
    https://www.creatis.insa-lyon.fr/~dsarrut/articles/Sarrut2017c.pdf
  10. [COST-17]“Optimization of GATE simulations for whole-body planar scintigraphic acquisitions using the XCAT male phantom with (177)Lu-DOTATATE biokinetics in a Siemens Symbia T2.”, Phys Med, 2017.
  11. [HUIS-16]“Accelerated prompt gamma estimation for clinical proton therapy simulations”, Phys Med Biol, vol. 61, pp. 7725-7743, 2016.
    https://www.creatis.insa-lyon.fr/~dsarrut/articles/Huisman2016.pdf
  12. [NOBL-16]C. Noblet, Chiavassa, S., Smekens, F., Sarrut, D., Passal, V., Suhard, J., Lisbona, A., Paris, F., and Delpon, G., “Validation of fast Monte Carlo dose calculation in small animal radiotherapy with EBT3 radiochromic films.”, Physics in medicine and biology, vol. 61, no. 9, pp. 3521-3535, 2016.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Noblet2016.pdf
  13. [VIDA-16]M. Vidal, De Marzi, L., Szymanowski, H., Guinement, L., Nauraye, C., Hierso, E., Freud, N., Ferrand, R., François, P., and Sarrut, D., “An empirical model for calculation of the collimator contamination dose in therapeutic proton beams.”, Physics in medicine and biology, vol. 61, no. 4, pp. 1532-1545, 2016.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Vidal2016.pdf
  14. [HILA-16]E. Hilaire, Sarrut, D., Peyrin, F., and Maxim, V., “Proton therapy monitoring by Compton imaging: influence of the large energy spectrum of the prompt-γ radiation”, Phys. Med. Biol., vol. 61, pp. 3127–3147, 2016.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Hilaire2016.pdf
  15. [FARG-16]M. Fargier-Voiron, Presles, B., Pommier, P., Munoz, A., Rit, S., Sarrut, D., and Biston, M., “Evaluation of a new transperineal ultrasound probe for inter-fraction image-guidance for definitive and post-operative prostate cancer radiotherapy”, Physica Medica, vol. 32, pp. 499-505, 2016.
    https://www.creatis.insa-lyon.fr/~srit/biblio/fargier-voiron2016.pdf
  16. [KANA-15]W. El Kanawati, Létang, J. M., Dauvergne, D., Pinto, M., Sarrut, D., Testa, E., and Freud, N., “Monte Carlo simulation of prompt-gamma ray emission in proton therapy using a specific track length estimator”, Physics in Medicine and Biology, vol. 60, pp. 8067–8086, 2015.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/ElKanawati2015.pdf
  17. [FARG-15]“Ultrasound versus Cone-beam CT image-guided radiotherapy for prostate and post-prostatectomy pretreatment localization”, Phys Med, vol. 31, pp. 997-1004, 2015.
    http://www.creatis.insa-lyon.fr/~srit/biblio/fargier-voiron2015a.pdf
  18. [FASS-15]A. Fassi, Seregni, M., Riboldi, M., Cerveri, P., Sarrut, D., Ivaldi, G. B., Fatis, P. T., Liotta, M., and Baroni, G., “Surrogate-driven deformable motion model for organ motion tracking in particle radiation therapy”, Physics in medicine and biology, vol. 60, no. 4, pp. 1565-82, 2015.
    https://www.creatis.insa-lyon.fr/~dsarrut/articles/Fassi2015.pdf
  19. [BALD-15]F. Baldacci, Mittone, A., Bravin, A., Coan, P., Delaire, F., Ferrero, C., Gasilov, S., Létang, J. M., Sarrut, D., Smekens, F., and Freud, N., “A track length estimator method for dose calculations in low-energy x-ray irradiations: implementation, properties and performance”, Zeitschrift Für Medizinische Physik, vol. 25, p. 36--47, 2015.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Baldacci2015.pdf
  20. [SARR-14a]D. Sarrut, Rit, S., Claude, L., Pinho, R., Pitson, G., Bouilhol, G., and Lynch, R., “Learning directional relative positions between mediastinal lymph node stations and organs”, Medical physics, vol. 41, no. 6, p. 061905, 2014.
    http://www.creatis.insa-lyon.fr/~srit/biblio/sarrut2014a.pdf
  21. [FARG-14]M. Fargier-Voiron, Presles, B., Pommier, P., Rit, S., Munoz, A., Liebgott, H., Sarrut, D., and Biston, M. C., “Impact of probe pressure variability on prostate localization for ultrasound-based image-guided radiotherapy”, Radiotherapy and Oncology, vol. 111, 2014.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Fargier2014.pdf
  22. [SARR-14b]D. Sarrut, Bardiès, M., Boussion, N., Freud, N., Jan, S., Létang, J. M., Loudos, G., Maigne, L., Marcatili, S., Mauxion, T., Papadimitroulas, P., Perrot, Y., Pietrzyk, U., Robert, C., Schaart, D. R., Visvikis, D., and Buvat, I., “A review of the use and potential of the GATE Monte Carlo simulation code for radiation therapy and dosimetry applications.”, Medical physics, vol. 41, no. 6, p. 064301, 2014.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Sarrut2014b.pdf
  23. [FASS-14]A. Fassi, Schaerer, J., Fernandes, M., Riboldi, M., Sarrut, D., and Baroni, G., “Tumor tracking method based on a deformable 4D CT breathing motion model driven by an external surface surrogate.”, International journal of radiation oncology, biology, physics, vol. 88, no. 1, pp. 182-8, 2014.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Fassi2014.pdf
  24. [PRES-14]B. Presles, Fargier-Voiron, M., Biston, M. C., Lynch, R., Munoz, A., Liebgott, H., Pommier, P., Rit, S., and Sarrut, D., “Semi-automatic registration of 3D transabdominal ultrasound images for patient repositioning during post-prostatectomy radiotherapy”, Medical Physics, vol. 41, 2014.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Presles2014.pdf
  25. [SMEK-14]F. Smekens, Létang, J. M., Noblet, C., Chiavassa, S., Delpon, G., Freud, N., Rit, S., and Sarrut, D., “Split exponential track length estimator for Monte-Carlo simulations of small-animal radiation therapy”, Physics in medicine and biology, vol. 59, no. 24, pp. 7703-7715, 2014.
    http://iopscience.iop.org/0031-9155/59/24/7703/pdf/0031-9155_59_24_7703.pdf
  26. [MITT-13]A. Mittone, Baldacci, F., Bravin, A., Brun, E., Delaire, F., Ferrero, C., Gasilov, S., Freud, N., Létang, J. M., Sarrut, D., Smekens, F., and Coan, P., “An efficient numerical tool for dose deposition prediction applied to synchrotron medical imaging and radiation therapy.”, Journal of synchrotron radiation, vol. 20, no. Pt 5, pp. 785-92, 2013.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Mittone2013.pdf
  27. [ROB-13]C. Robert, Dedes, G., Battistoni, G., Böhlen, T. T., Buvat, I., Cerutti, F., Chin, M. P. W., Ferrari, A., Gueth, P., Kurz, C., Lestand, L., Mairani, A., Montarou, G., Nicolini, R., Ortega, P. G., Parodi, K., Prezado, Y., Sala, P. R., Sarrut, D., and Testa, E., “Distributions of secondary particles in proton and carbon-ion therapy: a comparison between GATE/Geant4 and FLUKA Monte Carlo codes”, Physics in Medicine and Biology, vol. 58, p. 2879, 2013.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Robert2013.pdf
  28. [CAMA-13]S. Camarasu-Pop, Glatard, T., Ferreira da Silva, R., Gueth, P., Sarrut, D., and Benoit-Cattin, H., “Monte-Carlo Simulation on Heterogeneous Distributed Systems: a Computing Framework with Parallel Merging and Checkpointing Strategies”, Future Generation Computer Systems, vol. 29, p. 728--738, 2013.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Camarasu-Pop2013.pdf
  29. [RIT-13]S. Rit, Dedes, G., Freud, N., Sarrut, D., and Létang, J. M., “Filtered backprojection proton CT reconstruction along most likely paths”, Med Phys, vol. 40, p. 031103, 2013.
    http://www.creatis.insa-lyon.fr/~srit/biblio/rit2013.pdf
  30. [LYNCH-13]R. Lynch, Pitson, G., Ball, D., Claude, L., and Sarrut, D., “Computed tomographic atlas for the new international lymph node map for lung cancer: A radiation oncologist perspective”, Practical Radiation Oncology, vol. 3, 2013.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Lynch2013.pdf
  31. [ROB-13b]C. Robert, Fourrier, N., Sarrut, D., Stute, S., Gueth, P., Grevillot, L., and Buvat, I., “PET-based dose delivery verification in proton therapy: a GATE based simulation study of five PET system designs in clinical conditions.”, Physics in medicine and biology, vol. 58, no. 19, pp. 6867-85, 2013.
  32. [GUET-13]P. Gueth, Dauvergne, D., Freud, N., Létang, J. M., Ray, C., Testa, E., and Sarrut, D., “Machine learning-based patient specific prompt-gamma dose monitoring in proton therapy”, Physics in Medicine and Biology, vol. 58, pp. 4563-77, 2013.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Gueth-pmb2013.pdf
  33. [BOUI-13]G. Bouilhol, Ayadi, M., Rit, S., Thengumpallil, S., Schaerer, J., Vandemeulebroucke, J., Claude, L., and Sarrut, D., “Is abdominal compression useful in lung stereotactic body radiation therapy? A 4DCT and dosimetric lobe-dependent study.”, Physica medica, vol. 29, no. 4, pp. 333-40, 2013.
    http://www.creatis.insa-lyon.fr/~srit/biblio/bouilhol2013.pdf
  34. [DELM-13]V. Delmon, Rit, S., Pinho, R., and Sarrut, D., “Registration of sliding objects using direction dependent B-splines decomposition”, Physics in Medicine and Biology, vol. 58, 2013.
    http://www.creatis.insa-lyon.fr/~srit/biblio/delmon2013.pdf
  35. [JAN-13]S. Jan, Frisson, T., and Sarrut, D., “GATE simulation of 12C hadrontherapy treatment combined with a PET imaging system for dose monitoring : A feasibility study”, IEEE Trans. Nucl. Sci., vol. 60, pp. 423-429, 2013.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Jan2013.pdf
  36. [VAND-12]J. Vandemeulebroucke, Bernard, O., Rit, S., Kybic, J., Clarysse, P., and Sarrut, D., “Automated Segmentation of a Motion Mask to Preserve Sliding Motion in Deformable Registration of Thoracic CT”, Medical Physics, vol. 39, pp. 1006-1015, 2012.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Vandemeulebroucke2012.pdf
  37. [GREV-12]L. Grevillot, Bertrand, D., Fessy, F., Freud, N., and Sarrut, D., “GATE as a GEANT4-based Monte Carlo platform for the evaluation of proton pencil beam scanning treatment plans”, Physics in Medicine and Biology, vol. 57, 2012.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Grevillot2012.pdf
  38. [PITS-12]G. Pitson, Lynch, R., Claude, L., and Sarrut, D., “A critique of the IASLC lymph node map: a radiation oncology perspective”, Journal of Thoracic Oncology, vol. 7, pp. 478–480, 2012.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Pitson2012.pdf
  39. [SCHA-12]J. Schaerer, Fassi, A., Riboldi, M., Cerveri, P., Baroni, G., and Sarrut, D., “Multi-dimensional respiratory motion tracking from markerless optical surface imaging based on deformable mesh registration”, Physics in Medicine and Biology, vol. 57, pp. 357-373, 2012.PDF icon Schaerer et al._2011_Multi-dimensional respiratory motion tracking from markerless optical surface imaging based on deformable mesh registration.pdf (2.04 MB)
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Schaerer2011.pdf
  40. [FASSI-12]A. Fassi, Riboldi, M., Baroni, G., Schaerer, J., and Sarrut, D., “In Regard to Yang et al”, International Journal of Radiation Oncology * Biology * Physics, vol. 84, 2012.PDF icon Fassi et al._2012_In regard to Yang et al.pdf (45.89 KB)
  41. [GREV-11b]L. Grevillot, Bertrand, D., Dessy, F., Freud, N., and Sarrut, D., “A Monte Carlo pencil beam scanning model for proton treatment plan simulation using GATE/GEANT4”, Physics in Medicine and Biology, vol. 56, p. 5203, 2011.PDF icon Grevillot2011b.pdf (2.19 MB)
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Grevillot2011b.pdf
  42. [JAN-11]S. Jan, Benoit, D., Becheva, E., Carlier, T., Cassol, F., Descourt, P., Frisson, T., Grevillot, L., Guigues, L., Maigne, L., Morel, C., Perrot, Y., Rehfeld, N., Sarrut, D., Schaart, D. R., Stute, S., Pietrzyk, U., Visvikis, D., Zahra, N., and Buvat, I., “GATE V6: a major enhancement of the GATE simulation platform enabling modelling of CT and radiotherapy”, Physics in medicine and biology, vol. 56, pp. 881–901, 2011.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Jan2011.pdf
  43. [MURP-11]K. Murphy, van Ginneken, B., Reinhardt, J., Kabus, S., Ding, K., Deng, X., Cao, K., Du, K., Christensen, G., Garcia, V., Vercauteren, T., Ayache, N., Commowick, O., Malandain, G., Glocker, B., Paragios, N., Navab, N., Gorbunova, V., Sporring, J., de Bruijne, M., Han, X., Heinrich, M., Schnabel, J., Jenkinson, M., Lorenz, C., Modat, M., McClelland, J., Ourselin, S., Muenzing, S., Viergever, M., Nigris, D., Collins, D., Arbel, T., Peroni, M., Li, R., Sharp, G., Schmidt-Richberg, A., Ehrhardt, J., Werner, R., Smeets, D., Loeckx, D., Song, G., Tustison, N., Avants, B., Gee, J., Staring, M., Klein, S., Stoel, B., Urschler, M., Werlberger, M., Vandemeulebroucke, J., Rit, S., Sarrut, D., and Pluim, J., “Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 challenge”, IEEE Trans Med Imaging, vol. 30, pp. 1901-20, 2011.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Murphy2011.pdf
  44. [VAND-11]J. Vandemeulebroucke, Rit, S., Kybic, J., Clarysse, P., and Sarrut, D., “Spatio-Temporal Motion Estimation for Respiratory-Correlated Imaging of the Lungs”, Med Phys, vol. 38, pp. 166-178, 2011.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Vandemeulebroucke2011.pdf
  45. [AYAD-11]M. Ayadi, Bouilhol, G., Imbert, L., Ginestet, C., and Sarrut, D., “[Scan acquisition parameter optimization for the treatment of moving tumors in radiotherapy.]”, Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique, vol. 15, 2011.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Ayadi2010.pdf
  46. [GREV-11]L. Grevillot, Frisson, T., Maneval, D., Zahra, N., Badel, J. N., and Sarrut, D., “Simulation of a 6 MV Elekta Precise Linac photon beam using GATE / GEANT4”, Phys Med Biol, vol. 56, 2011.PDF icon LG-NIM-B-10.pdf (1.28 MB)
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Grevillot2011.pdf
  47. [GREV-10]L. Grevillot, Frisson, T., Zahra, N., Bertrand, D., Stichelbaut, F., Freud, N., and Sarrut, D., “Optimization of GEANT4 settings for Proton Pencil Beam Scanning simulations using GATE”, Nucl Instr Meth Phys Res B, vol. 268, pp. 3295-3305, 2010.PDF icon LG-NIM-B-10.pdf (1.28 MB)
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Grevillot2010.pdf
  48. [ZAHR-10]N. Zahra, Frisson, T., Grevillot, L., Lautesse, P., and Sarrut, D., “Influence of Geant4 parameters on dose distribution and computation time for carbon ion therapy simulation”, Physica Medica: European Journal of Medical Physics, vol. 26, pp. 202-206, 2010.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Zahra2010.pdf
  49. [CAMA-10]S. Camarasu-Pop, Glatard, T., Moscicki, J. T., Benoit-Cattin, H., and Sarrut, D., “Dynamic partitioning of GATE Monte-Carlo simulations on EGEE”, Journal of Grid Computing, vol. 8, pp. 241-259, 2010.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Camarasu-Pop2010.pdf
  50. [SARR-10]D. Sarrut and Vandemeulebroucke, J., “B-LUT: Fast and low memory B-spline image interpolation”, Comput Meth Prog Bio, vol. 99, pp. 172-178, 2010.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Sarrut2010.pdf
  51. [BROC-10]K. K. Brock, Consortium, D. R. A., Boldea, V., and Sarrut, D., “Results of a Multi-Institution Deformable Registration Accuracy Study (MIDRAS)”, Int J Radiat Onc, vol. 76, pp. 583-596, 2010.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Brock2010.pdf
  52. [FRIS-09]T. Frisson, Zahra, N., Lautesse, P., and Sarrut, D., “Monte-Carlo based prediction of radiochromic film response for hadrontherapy dosimetry”, Nucl Instr Meth Phys Res A, vol. 606, pp. 749-754, 2009.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Frisson2009.pdf
  53. [RIT-09]S. Rit, Sarrut, D., and Desbat, L., “Comparison of Analytic and Algebraic Methods for Motion-Compensated Cone-Beam CT Reconstruction of the Thorax”, IEEE Trans Med Imaging, vol. 28, pp. 1513-1525, 2009.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Rit2009.pdf
  54. [WU-08]Z. Wu, Rietzel, E., Boldea, V., Sarrut, D., and Sharp, G., “Evaluation of deformable registration of patient lung 4DCT with sub-anatomical region segmentations”, Med Phys, vol. 35, pp. 775-781, 2008.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Wu2008.pdf
  55. [BOLD-08]V. Boldea, Sarrut, D., Sharp, G., and Jiang, S., “4D-CT lung motion models construction with deformable registration: estimation of motion nonlinearity and hysteresis”, Med Phys, vol. 35, pp. 1008-1018, 2008.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Boldea2008.pdf
  56. [SARR-08]D. Sarrut and Guigues, L., “Region-oriented CT image representation for reducing computing time of Monte Carlo simulations”, Med Phys, vol. 35, pp. 1452–1463, 2008.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Sarrut2008.pdf
  57. [SARR-07]D. Sarrut, Delhay, B., Villard, P. F., Boldea, V., Beuve, M., and Clarysse, P., “A comparison framework for breathing motion estimation methods from 4D imaging”, IEEE Trans Med Imaging, vol. 26, pp. 1636-1648, 2007.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Sarrut2007.pdf
  58. [SARR-06a]D. Sarrut, “Deformable Registration for Image-Guided Radiation Therapy”, Zeitschrift für Medizinische Physik, vol. 16, pp. 285–297, 2006.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Sarrut2006a.pdf
  59. [SARR-06b]D. Sarrut, Perol, D., Pommier, P., and Carrie, C., “Radiothérapie avec blocage respiratoire pour les grands insuffisants respiratoires atteints d'un carcinome pulmonaire non à petites cellules (Protocole RESPI 2000) : application à la modélisation des déformations d'organes par recalage déformable”, Cancer/radiothérapie Elsevier, vol. 10, pp. 377–380, 2006.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Sarrut2006b.pdf
  60. [ATOU-06]H. Atoui, Miguet, S., and Sarrut, D., “A Fast Morphing-Based Interpolation For Medical Images: Application To Conformal Radiotherapy”, Image Anal Stereol, vol. 25, pp. 95-103, 2006.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Atoui2006.pdf
  61. [RIT-06]S. Rit, Sarrut, D., Boldea, V., and Ginestet, C., “Extraction du signal respiratoire à partir de projections cone-beam pour l'imagerie TDM 4D”, Traitement du Signal, vol. 23, pp. 307–319, 2006.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Rit2006.pdf
  62. [SARR-06c]D. Sarrut, Boldea, V., Miguet, S., and Ginestet, C., “Simulation of 4D CT images from deformable registration between inhale and exhale breath-hold CT scans”, Med Phys, vol. 33, pp. 605-617, 2006.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Sarrut2006c.pdf
  63. [SARR-05]D. Sarrut, Boldea, V., Ayadi, M., Badel, J. N., Ginestet, C., and Clippe, S., “Non-rigid registration method to assess reproducibility of breath-holding with ABC in lung cancer”, Int J Radiat Oncol Biol Phys, vol. 61, pp. 594–607, 2005.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Sarrut2005.pdf
  64. [CLAR-04]P. Clarysse, Frouin, F., Garreau, M., Lalande, A., Rousseau, H., Sarrut, D., and Vasseur, C., “Intégration de connaissances et modélisation en imagerie médicale”, Innov Tech Biol Med - RBM, vol. 25, pp. 139-149, 2004.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Clarysse2004.pdf
  65. [CLIP-03]S. Clippe, Sarrut, D., Malet, C., Miguet, S., Ginestet, C., and Carrie, C., “Patient setup error measurement using 3D intensity-based image registration techniques”, Int J Radiat Oncol Biol Phys, vol. 56, pp. 259–263, 2003.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Clippe2003.pdf

Conference Paper

  1. [PRES-15]B. Presles, Fargier-Voiron, M., Alessandrini, M., Biston, M. C., Pommier, P., Rit, S., Sarrut, D., and Liebgott, H., “Realistic Simulations for the Evaluation of Monomodal Registration Algorithms of 3D Pelvic Ultrasound Images”, in 2015 International Congress on Ultrasonics, Metz (France), 2015, p. in press.
  2. [RIT-14]S. Rit, Vila Oliva, M., Brousmiche, S., Labarbe, R., Sarrut, D., and Sharp, G. C., “The Reconstruction Toolkit (RTK), an open-source cone-beam CT reconstruction toolkit based on the Insight Toolkit (ITK)”, in International Conference on the Use of Computers in Radiation Therapy (ICCR), 2014, vol. 489, p. 012079.
    http://iopscience.iop.org/1742-6596/489/1/012079
  3. [DELM-14]V. Delmon, Vandemeulebroucke, J., Pinho, R., Oliva, M., Sarrut, D., and Rit, S., “In-room breathing motion estimation from limited projection views using a sliding deformation model”, in International Conference on the Use of Computers in Radiation Therapy (ICCR), 2014, vol. 489, p. 012026.
    http://www.creatis.insa-lyon.fr/~srit/biblio/delmon2014.pdf
  4. [HILA-14a]E. Hilaire, Robert, C., Lojacono, X., Sarrut, D., Buvat, I., Peyrin, F., and Maxim, V., “Compton imaging in proton therapy: reconstructed image of the simulated prompt-γ distribution”, in ICTR-PHE 2014, Geneva, Switzerland, 2014, p. S43.
  5. [HILA-14b]E. Hilaire, Sarrut, D., Peyrin, F., and Maxim, V., “Compton imaging of prompt- γ radiation in proton therapy: simulation of the influence of the detector response and of the patient attenuation”, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Seattle, USA, 2014.
  6. [SPIN-14]D. Spinczyk, Blanc, R., Rit, S., Sarrut, D., and Melo de Lima, D., “Estimation of respiratory breathing signal from 2D US sequences and 4DCT of the liver”, in 2014 IEEE International Ultrasonics Symposium (IUS)2014 IEEE International Ultrasonics Symposium, Chicago, IL, USA, 2014, pp. 2339 - 2342.
    http://www.creatis.insa-lyon.fr/~srit/biblio/spinczyk2014.pdf
  7. [BOUI-14]G. Bouilhol, Ayadi, M., Pinho, R., Rit, S., and Sarrut, D., “Motion artifact detection in four-dimensional computed tomography images”, in Journal of Physics: Conference Series, 2014, vol. 489, p. 012024.
    http://iopscience.iop.org/1742-6596/489/1/012024
  8. [BLAN-13]R. Blanc, Melo de Lima, D., Rit, S., Rivoire, M., and Sarrut, D., “Towards 4DCT-US image fusion for liver motion monitoring”, in 2013 IEEE International Ultrasonics Symposium (IUS)2013 IEEE International Ultrasonics Symposium (IUS), Prague, Czech Republic, 2013, pp. 817 - 820.
    http://www.creatis.insa-lyon.fr/~srit/biblio/blanc2013.pdf
  9. [GUET-12]P. Gueth, Grevillot, L., Dauvergne, D., Freud, N., Létang, J. M., Ray, C., Testa, E., and Sarrut, D., “Gate simulation of a complete proton treatment combined with prompt-gamma monitoring”, in IEEE Medical Imaging Conference, Anaheim, USA, 2012.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Gueth-mic-2012.pdf
  10. [RIT-12]S. Rit, Freud, N., Sarrut, D., and Létang, J. M., “Distance-driven binning for proton CT filtered backprojection along most likely paths”, in Second International Conference on Image Formation in X-Ray Computed Tomography, Salt Lake City, USA, 2012.
    http://www.creatis.insa-lyon.fr/~srit/biblio/rit2012b.pdf
  11. [BERT-12]J. Bert, Perez-Ponce, H., Jan, S., Bitar, E. Z., P., G., Cuplov, V., Chekatt, H., Benoit, D., Sarrut, D., Boursier, Y., Brasse, D., Buvat, I., Morel, C., and Visvikis, D., “Hybrid GATE: A GPU/CPU implementation for imaging and therapy applications”, in IEEE Medical Imaging Conference, Anaheim, USA, 2012.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Bert2012.pdf
  12. [SARR-12]D. Sarrut, Claude, L., Rit, S., Pinho, R., Pitson, G., and Lynch, R., “Investigating mediastinal lymph node stations segmentation on thoracic CT following experts guidelines”, in MICCAI, Proceedings of the First International Workshop on Image-Guidance and Multimodal Dose Planning in Radiation Therapy, Nice, France, 2012.
    http://hal.archives-ouvertes.fr/docs/00/75/52/22/ANNEX/Sarrut.pdf
  13. [VIDA-11]M. Vidal, L., D. M., Szymanowski, H., Nauraye, C., Grevillot, L., Hierso, E., Ferrand, R., Freud, N., and Sarrut, D., “Modèle analytique de prise en compte de la contamination due au collimateur en protonthérapie : Conséquences sur le calcul de dose.”, in Société Française de Physique Médicale (SFPM 50), Nantes, France, 2011.PDF icon MVidal_SFPM2011.pdf (1.51 MB)
  14. [DELM-11]V. Delmon, Rit, S., Pinho, R., and Sarrut, D., “Direction dependent B-splines decomposition for the registration of sliding objects”, in Proceedings of the Fourth International Workshop on Pulmonary Image Analysis, Toronto, Canada, 2011, pp. 45–55.
    http://www.creatis.insa-lyon.fr/~srit/biblio/delmon2011.pdf
  15. [SCHA-11]J. Schaerer, Fassi, A., Riboldi, M., Baroni, G., and Sarrut, D., “Time-consistent parametrization from dynamic optical surface detection for respiratory motion recovery in radiation oncology”, in ESTRO, 2011, vol. 99, p. S454.
  16. [GREV-11c]L. Grevillot, Bertrand, D., Dessy, F., Freud, N., and Sarrut, D., “A Monte Carlo Pencil Beam Scanning model for proton TPS Quality Assurance using GATE/GEANT4”, in 50th International PTCOG meeting (Particle Therapy Co-Operative Group), Philadelphia, US, 2011.PDF icon Grevillot-ptcog2011-poster.pdf (2.33 MB)
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Grevillot-ptcog2011.pdf
  17. [RIT-11b]S. Rit, Pinho, R., Delmon, V., Pech, M., Bouilhol, G., Schaerer, J., Navalpakkam, B., Vandemeulebroucke, J., Seroul, P., and Sarrut, D., “VV, a 4D slicer”, in Proceedings of the Fourth International Workshop on Pulmonary Image Analysis, Toronto, Canada, 2011, pp. 171–175.
    http://www.creatis.insa-lyon.fr/~srit/biblio/rit2011b.pdf
  18. [GUET-11b]P. Gueth, Camarasu-Pop, S., Glatard, T., Grevillot, L., and Sarrut, D., “PBS proton treatment plan simulation with the GATE-Lab”, in 50th International PTCOG meeting (Particle Therapy Co-Operative Group), Philadelphia, US, 2011.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Gueth2011.pdf
  19. [LAZARO-11]D. Lazaro-Ponthus, Guérin, L., Batalla, A., Frisson, T., and Sarrut, D., “Commissioning of penelope and GATE monte carlo models for 6 and 18 MV photon beams from the siemens artiste linac”, in ESTRO, 2011, vol. 99, p. S515.
  20. [FASSI-11]A. Fassi, Schaerer, J., Riboldi, M., Sarrut, D., and Baroni, G., “A novel CT-based contrast enhancement technique for markerless lung tumor tracking in X-ray projection images”, in ESTRO, 2011, vol. 99, p. S217.
  21. [VIDA-11]M. Vidal, De Marzi, L., Szymanowski, H., Nauraye, C., Hierso, E., Freud, N., François, P., and Sarrut, D., “How to minimize and model the collimator scatter in Double Scattering and Uniform Scanning.”, in Particle Therapy CoOperative Group (PTCOG 50), Philadelphia, PA, USA, 2011.PDF icon Poster_PTCOG50.pdf (834.94 KB)
  22. [PINH-11]R. Pinho, Delmon, V., Vandemeulebroucke, J., Rit, S., and Sarrut, D., “Keuhkot: a method for lung segmentation”, in Proceedings of the Fourth International Workshop on Pulmonary Image Analysis, Toronto, Canada, 2011, pp. 225–232.
    http://www.creatis.insa-lyon.fr/~srit/biblio/pinho2011.pdf
  23. [ZAHRA-10]N. Zahra, Frisson, T., Grevillot, L., Lautesse, P., and Sarrut, D., “Towards dosimetry and Quality Assurance for particle therapy beams using radiochromic MD-v2-55 films”, in 49th PTCOG meeting (Particle Therapy Co-Operative Group), Gunma, Japan, 2010.
  24. [VAND-10b]J. Vandemeulebroucke, Bernard, O., Kybic, J., Clarysse, P., and Sarrut, D., “Automatic motion mask extraction for deformable registration of the lungs”, in XVIth International Conference on the Use of Computers in Radiation Therapy, Amsterdam, 2010.PDF icon vandemeulebroucke2010a.pdf (862.78 KB)
  25. [GREV-10]L. Grevillot, Frisson, T., Zahra, N., Bertrand, D., Stichelbaut, F., Freud, N., and Sarrut, D., “Optimization of GATE/Geant4 settings for Proton Pencil Beam Scanning simulations towards TPS Quality Assurance”, in 49th PTCOG meeting (Particle Therapy Co-Operative Group), Gunma, Japan, 2010.PDF icon Grevillot-ptcog2010-pres.pdf (3.75 MB)
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Grevillot-ptcog2010.pdf
  26. [VAND-10c]J. Vandemeulebroucke, Rit, S., Schaerer, J., and Sarrut, D., “Deformable image registration with automated motion-mask extraction”, in Medical Image Analysis for the Clinic: A Grand Challenge 2010 of the MICCAI Conference, Beijing, 2010.
    http://www.creatis.insa-lyon.fr/~srit/biblio/vandemeulebroucke2010a.pdf
  27. [GREZ-10]L. Grèzes-Besset, Schaerer, J., Clarysse, P., and Sarrut, D., “Apparent motion clustering on Cone-Beam fluoroscopic images for thorax tracking”, in International Conference on the Use of Computers in Radiation Therapy (ICCR), Amsterdam, The Netherlands, 2010.PDF icon lgrezesb_paper.pdf (424.91 KB)
  28. [GREZ-10]L. Grèzes-Besset, Schaerer, J., Clarysse, P., and Sarrut, D., “Fluoroscopic Block-Matching-based mean position tracking of respiratory motion for lung cancer radiotherapy”, in ESTRO, 2010, vol. 96, no. S5-656-S654-Sup1, pp. S5-656-S654-Sup1.
    http://download.journals.elsevierhealth.com/pdfs/journals/0167-8140/PIIS0167814010800799.pdf
  29. [VAND-09]J. Vandemeulebroucke, Kybic, J., Clarysse, P., and Sarrut, D., “Respiratory motion estimation from cone-beam projections using a prior model”, in Medical Image Computing and Computer-Assisted Intervention (MICCAI'09), London, UK, 2009, pp. 365-372.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Vandemeulebroucke2009.pdf
  30. [GREZ-09]L. Grèzes-Besset, Vandemeulebroucke, J., Clarysse, P., and Sarrut, D., “Respiratory motion tracking from different viewing angles during lung cancer treatment in radiotherapy”, in IEEE Medical Imaging Conference, Orlando, USA, 25-30 ., 2009.
  31. [VAND-09b]J. Vandemeulebroucke, Kybic, J., Clarysse, P., and Sarrut, D., “Estimating breathing motion from cone-beam projections using a prior patient model”, in 10th Biennial ESTRO Meeting on Physics and Radiation Technology For Clinical Radiotherapy, 2009, p. S185.
  32. [GREV-09]L. Grevillot, Frisson, T., Zahra, N., Badel, J. N., and Sarrut, D., “Validation of a new GATE module for radiation therapy : simulation of a 6 MV Elekta Precise linear accelerator head”, in EW-MCTP (European Workshop on Monte Carlo Treatment Planning), 2009.
    http://www.creatis.insa-lyon.fr/~dsarrut/articles/Grevillot-mctp2009-pres.pdf
  33. [SERO-08]P. Seroul and Sarrut, D., “VV: a viewer for the evaluation of 4D image registration”, in In Medical Image Computing and Computer-Assisted Intervention MICCAI'2008, Workshop - Systems and Architectures for Computer Assisted Interventions, New York, 2008.
    http://www.creatis.insa-lyon.fr/rio/vv
  34. [VAND-08]J. Vandemeulebroucke, Clarysse, P., Kybic, J., and Sarrut, D., “Estimating Respiratory Motion from Cone-Beam Projections”, in In Medical Image Computing and Computer-Assisted Intervention MICCAI'2008, The First International Workshop on Pulmonary Image Analysis, New York, 2008.
    http://www.creatis.insa-lyon.fr/rio/Publications?action=AttachFile&do=view&target=miccai-jef2008.pdf
  35. [FRIS-08]T. Frisson, Zahra, N., Grevillot, L., Guigues, L., and Sarrut, D., “Extending GATE for dosimetry : radiotherapy and hadrontherapy applications.”, in Proceedings of IEEE Nuclear Science Symposium and Medical Imaging Conference, Dresden, 2008.
    http://www.creatis.insa-lyon.fr/rio/Publications?action=AttachFile&do=view&target=mic-nsss-dsarrut.pdf

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