Effects of ROI definition and reconstruction method on quantitative outcome and applicability in a response monitoring trial, European Journal of Nuclear Medicine and Molecular Imaging, vol.26, issue.3, pp.294-301, 2005. ,
DOI : 10.1007/s00259-004-1566-1
The role of PET/CT scanning in radiotherapy planning, The British Journal of Radiology, vol.79, issue.special_issue_1, pp.27-35, 2006. ,
DOI : 10.1259/bjr/35628509
Partial-Volume Effect in PET Tumor Imaging, Journal of Nuclear Medicine, vol.48, issue.6, pp.932-945, 2007. ,
DOI : 10.2967/jnumed.106.035774
Segmentation of lung lesion volume by adaptive positron emission tomography image thresholding, Cancer, vol.34, issue.S12, pp.2505-2509, 1997. ,
DOI : 10.1002/(SICI)1097-0142(19971215)80:12+<2505::AID-CNCR24>3.0.CO;2-F
Current status of PET/CT for tumour volume definition in radiotherapy treatment planning for non-small cell lung cancer (NSCLC), Lung Cancer, vol.57, issue.2, pp.125-134, 2007. ,
DOI : 10.1016/j.lungcan.2007.03.020
Comparison of Different Methods for Delineation of 18F- FDG PET-Positive Tissue for Target Volume Definition in Radiotherapy of Patients with Non-Small Cell Lung Cancer, Jour. Nucl. Med, vol.46, issue.8, pp.1342-1350, 2005. ,
Defining a radiotherapy target with positron emission tomography, Int. J ,
Assessment of 18F PET signals for automatic target volume definition in radiotherapy treatment planning, Radiotherapy and Oncology, vol.80, issue.1, pp.43-50, 2006. ,
DOI : 10.1016/j.radonc.2006.07.006
Tri-dimensional automatic segmentation of PET volumes based on measured source-to-background ratios: influence of reconstruction algorithms, Radiotherapy and Oncology, vol.69, issue.3, pp.247-250, 2003. ,
DOI : 10.1016/S0167-8140(03)00270-6
A novel iterative method for lesion delineation and volumetric quantification with FDG PET, Nuclear Medicine Communications, vol.28, issue.6, pp.485-493, 2007. ,
DOI : 10.1097/MNM.0b013e328155d154
A semi-automatic approach to the delineation of tumour boundaries from PET data using Level Sets, SNM annual meeting, 2005. ,
18F-FDG PET images segmentation using morphological watershed : a phantom study, IEEE NSS-MIC, pp.2063-2067, 2006. ,
Automation Segmentation of PET Image for Brain Tumours, pp.2627-2629, 2003. ,
Fully automated segmentation of oncological PET volumes using a combined multiscale and statistical model, Medical Physics, vol.3, issue.2, pp.722-736, 2007. ,
DOI : 10.1118/1.2432404
Lesion segmentation in wholebody images of PET, IEEE NSS-MIC, pp.2873-2876, 2003. ,
A gradient-based method for segmenting FDG-PET images: methodology and validation, European Journal of Nuclear Medicine and Molecular Imaging, vol.10, issue.Suppl 2, pp.1427-1438, 2007. ,
DOI : 10.1007/s00259-006-0363-4
A novel PET tumor delineation method based on adaptive region-growing and dual-front active contours, Medical Physics, vol.13, issue.8, pp.3711-3721, 2008. ,
DOI : 10.1109/42.363096
Co-registered FDG PET/CT Based Textural Characterization of Head and Neck Cancer for Radiation Treatment Planning, IEEE Trans. Med. Im, 2008. ,
Fuzzy hidden Markov chains segmentation for volume determination and quantitation in PET, Physics in Medicine and Biology, vol.52, issue.12, pp.3467-3491, 2007. ,
DOI : 10.1088/0031-9155/52/12/010
URL : https://hal.archives-ouvertes.fr/inserm-00150348
A Fuzzy Locally Adaptive Bayesian Segmentation Approach for Volume Determination in PET, IEEE Transactions on Medical Imaging, vol.28, issue.6, 2008. ,
DOI : 10.1109/TMI.2008.2012036
URL : https://hal.archives-ouvertes.fr/inserm-00372910
Towards multidimensional radiotherapy (MD-CRT): biological imaging and biological conformality, International Journal of Radiation Oncology*Biology*Physics, vol.47, issue.3, pp.551-560, 2000. ,
DOI : 10.1016/S0360-3016(00)00467-3
Estimation of fuzzy Gaussian mixture and unsupervised statistical image segmentation, IEEE Transactions on Image Processing, vol.6, issue.3, pp.425-440, 1997. ,
DOI : 10.1109/83.557353
Parameter Estimation in Hidden Fuzzy Markov Random Fields and Image Segmentation, Graphical Models and Image Processing, vol.59, issue.4, pp.205-220, 1997. ,
DOI : 10.1006/gmip.1997.0431
Automatic delineation of functional volumes in PET: a robustness study, SNM annual meeting, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-00460270
L'algorithme SEM : un algorithme d'apprentissage probabiliste pour la reconnaissance de mélanges de densités, Revue de statistique appliquée, pp.35-52, 1986. ,
Maximum likelihood from incomplete data via the EM algorithm, J. R. Stat. Soc. B, vol.39, pp.1-38, 1977. ,
Some methods for classification and analysis of multivariate observations, Proc. 5th Symp, pp.281-297, 1967. ,
A Fuzzy relative of the Isodata process and its use in detecting compact well-separeted clusters ,
Development and Application of the New Dynamic NURBS-based Cardiac-Torso (NCAT) Phantom, 2001. ,
Incorporating patient specific variability in the simulation of realistic whole body 18F-FDG distributions for oncology applications, Proceedings of the IEEE, 2009. ,
Validation of a Monte Carlo simulation of the Philips Allegro/GEMINI PET systems using GATE, Physics in Medicine and Biology, vol.51, issue.4, pp.943-962, 2006. ,
DOI : 10.1088/0031-9155/51/4/013
PET-CT???Based Auto-Contouring in Non???Small-Cell Lung Cancer Correlates With Pathology and Reduces Interobserver Variability in the Delineation of the Primary Tumor and Involved Nodal Volumes, International Journal of Radiation Oncology*Biology*Physics, vol.68, issue.3, pp.771-778, 2007. ,
DOI : 10.1016/j.ijrobp.2006.12.067
PET/CT in radiation oncology, Medical Physics, vol.35, issue.11, pp.4955-4966, 2008. ,
DOI : 10.1016/S0360-3016(02)02705-0
Does registration of PET and planning CT images decrease interobserver and intraobserver variation in delineating tumor volumes for non???small-cell lung cancer?, International Journal of Radiation Oncology*Biology*Physics, vol.62, issue.1 ,
DOI : 10.1016/j.ijrobp.2004.09.020
The contribution of integrated PET/CT to the evolving definition of treatment volumes in radiation treatment planning in lung cancer, International Journal of Radiation Oncology*Biology*Physics, vol.63, issue.4, pp.1016-1023, 2005. ,
DOI : 10.1016/j.ijrobp.2005.04.021
Strategies for Biologic Image-Guided Dose Escalation: A Review, International Journal of Radiation Oncology*Biology*Physics, vol.73, issue.3 ,
DOI : 10.1016/j.ijrobp.2008.11.001
Correction for partial volume effects in PET: principle and validation, J. Nucl. Med, vol.39, pp.904-911, 1998. ,
A multiresolution image based approach for correction of partial volume effects in emission tomography, Physics in Medicine and Biology, vol.51, issue.7, pp.1857-1876, 2006. ,
DOI : 10.1088/0031-9155/51/7/016
URL : https://hal.archives-ouvertes.fr/inserm-00537786
Partial volume correction in PET based on functional volumes, J. Nucl. Med, vol.49, issue.S1, p.388, 2008. ,