The value of positron emission tomography (PET) imaging in disease staging and therapy assessment, Annals of Oncology, vol.13, issue.suppl 4, pp.227-261, 2002. ,
DOI : 10.1093/annonc/mdf664
From RECIST to PERCIST: Evolving Considerations for PET Response Criteria in Solid Tumors, Journal of Nuclear Medicine, vol.50, issue.Suppl_1, pp.122-50, 2009. ,
DOI : 10.2967/jnumed.108.057307
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
Standards for PET Image Acquisition and Quantitative Data Analysis, Journal of Nuclear Medicine, vol.50, issue.Suppl_1, pp.11-20, 2009. ,
DOI : 10.2967/jnumed.108.057182
SUV and segmentation: pressing challenges in tumour assessment and treatment, European Journal of Nuclear Medicine and Molecular Imaging, vol.49, issue.10, pp.715-735, 2009. ,
DOI : 10.1007/s00259-009-1085-1
Prognostic value of 18F- FDG PET image-based parameters in esophageal cancer: impact of tumor delineation methodology, European Journal of Nuclear Medicine and Molecular Imaging, 2011. ,
Doctor, what does my future hold? The prognostic value of FDG-PET in solid tumours, European Journal of Nuclear Medicine and Molecular Imaging, vol.115, issue.22, pp.1032-1040, 2010. ,
DOI : 10.1007/s00259-010-1428-y
Intratumor Heterogeneity Characterized by Textural Features on Baseline 18F-FDG PET Images Predicts Response to Concomitant Radiochemotherapy in Esophageal Cancer, Journal of Nuclear Medicine, vol.52, issue.3, pp.369-78, 2011. ,
DOI : 10.2967/jnumed.110.082404
URL : https://hal.archives-ouvertes.fr/inserm-00574272
Baseline (18)F-FDG PET image-derived parameters for therapy response prediction in oesophageal cancer, Eur J Nucl Med Mol Imaging Pan T, Mawlawi O. PET/CT in radiation oncology. Med Phys, vol.1035, issue.11, pp.4955-66, 2008. ,
URL : https://hal.archives-ouvertes.fr/inserm-00595534
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
Dose-painting": myth or reality?]. Cancer Radiother, pp.6-7554, 2010. ,
Does registration of PET and planning CT images decrease interobserver and intraobserver variation in delineating tumor volumes for non-small-cell lung cancer? PET-CTbased 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, Int J Radiat Oncol Biol Phys Int J Radiat Oncol Biol Phys, vol.6268, issue.143, pp.70-5771, 2005. ,
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.1016-1039, 2005. ,
DOI : 10.1016/j.ijrobp.2005.04.021
PET-based treatment planning in radiotherapy: a new standard?, J Nucl Med, vol.48, issue.1, pp.68-77, 2007. ,
Les méthodes de seuillage en TEP : un état de l'art Médecine Nucléaire, pp.119-150, 2010. ,
Defining Radiotherapy Target Volumes Using 18F-Fluoro-Deoxy-Glucose Positron Emission Tomography/Computed Tomography: Still a Pandora???s Box?: In Regard to Devic et??al. (Int J Radiat Oncol Biol Phys 2010), International Journal of Radiation Oncology*Biology*Physics, vol.78, issue.5, pp.1605-1626, 2009. ,
DOI : 10.1016/j.ijrobp.2010.08.002
PET functional volume delineation: a robustness and repeatability study 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, Eur J Nucl Med Mol Imaging J Nucl Med, 2005. ,
18F-FDG PET definition of gross tumor volume for radiotherapy of non-small cell lung cancer: is a single standardized uptake value threshold approach appropriate?, J Nucl Med, vol.47, issue.11, pp.1808-1820, 2006. ,
The integration of PET-CT scans from different hospitals into radiotherapy treatment planning, Radiother Oncol, 2008. ,
Accurate Automatic Delineation of Heterogeneous Functional Volumes in Positron Emission Tomography for Oncology Applications, International Journal of Radiation Oncology*Biology*Physics, vol.77, issue.1, pp.301-309, 2010. ,
DOI : 10.1016/j.ijrobp.2009.08.018
URL : https://hal.archives-ouvertes.fr/inserm-00537776
18F- FDG PET images segmentation using morphological watershed: a phantom study Pathologic Correlation of PET-CT Based Auto-contouring for Radiation Planning in Lung Cancer. World Conference on Lung Cancer Meeting PET Tumor Segmentation: Validation of a Gradient-based Method Using a NSCLC PET Phantom. Society of Nuclear Medicine annual meeting, IEEE Nuclear Science Symposium Conference, vol.28, 2006. ,
PET Tumor Segmentation: Comparison of Gradient-Based Algorithm to Constant Threshold Algorithm. AAPM A gradient-based method for segmenting FDG- PET images: methodology and validation, Eur J Nucl Med Mol Imaging, vol.34, issue.33, pp.1427-1465, 2007. ,
A novel PET tumor delineation method based on adaptive region-growing and dual-front active contours, Medical Physics, vol.13, issue.8, 2008. ,
DOI : 10.1109/42.363096
Concurrent multimodality image segmentation by active contours for radiotherapy treatment planning Med Phys, 2007. ,
A New Method for Volume Segmentation of PET Images, Based on Possibility Theory, IEEE Transactions on Medical Imaging, vol.30, issue.2, 2011. ,
DOI : 10.1109/TMI.2010.2083681
A novel fuzzy C-means algorithm for unsupervised heterogeneous tumor quantification in PET. Med Phys, pp.1309-1333, 2010. ,
Modèles de Markov en traitement d'images, Traitement du Signal, vol.20, issue.30, pp.255-78, 2003. ,
A region growing method for tumor volume segmentation on PET images for rectal and anal cancer patients, Medical Physics, vol.27, issue.10, 2009. ,
DOI : 10.1016/S0969-8051(00)00155-4
A Gaussian mixture model for definition of lung tumor volumes in positron emission tomography. Med Phys, 2007. ,
Fully automated segmentation of oncological PET volumes using a combined multiscale and statistical model. Med Phys, Feb, vol.34, issue.2, pp.722-758, 2007. ,
Fuzzy hidden Markov chains segmentation for volume determination and quantitation in PET, Physics in Medicine and Biology, vol.52, issue.12, pp.3467-91, 2007. ,
DOI : 10.1088/0031-9155/52/12/010
URL : https://hal.archives-ouvertes.fr/inserm-00150348
Coregistered FDG PET/CT-based textural characterization of head and neck cancer for radiation treatment planning, IEEE Trans Med Imaging, 2009. ,
Automated radiation targeting in head-and-neck cancer using region-based texture analysis of PET and CT images Artificial Neural Network-Based System for PET Volume Segmentation, Int J Radiat Oncol Biol Phys. Oct Int J Biomed Imaging, vol.175, issue.44, pp.618-643, 2009. ,
Objective PET Lesion Segmentation Using a Spherical Mean Shift Algorithm, Med Image Comput Comput Assist Interv, vol.9, issue.2, pp.782-791, 2006. ,
DOI : 10.1007/11866763_96
Tumor Delineation Based on Time???Activity Curve Differences Assessed With Dynamic Fluorodeoxyglucose Positron Emission Tomography???Computed Tomography in Rectal Cancer Patients, International Journal of Radiation Oncology*Biology*Physics, vol.73, issue.2, pp.456-65, 2009. ,
DOI : 10.1016/j.ijrobp.2008.04.019
Incorporation of wavelet-based denoising in iterative deconvolution for partial volume correction in whole-body PET imaging, European Journal of Nuclear Medicine and Molecular Imaging, vol.17, issue.2, pp.1064-75, 2009. ,
DOI : 10.1007/s00259-009-1065-5
URL : https://hal.archives-ouvertes.fr/inserm-00537782
A multiresolution image based approach for correction of partial volume effects in emission tomography, Physics in Medicine and Biology, vol.51, issue.7, pp.1857-76, 2006. ,
DOI : 10.1088/0031-9155/51/7/016
URL : https://hal.archives-ouvertes.fr/inserm-00537786
Four-Dimensional Positron Emission Tomography: Implications for Dose Painting of High-Uptake Regions, International Journal of Radiation Oncology*Biology*Physics, vol.80, issue.3, 1950. ,
DOI : 10.1016/j.ijrobp.2010.08.028
The impact of respiratory motion on tumor quantification and delineation in static PET/CT imaging, Physics in Medicine and Biology, vol.54, issue.24, pp.7345-62, 2009. ,
DOI : 10.1088/0031-9155/54/24/007
Le mouvement respiratoire en Imagerie Fonctionnelle du Cancer: une revue des effets et des méthodes de correction Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation, Traitement du Signal. IEEE Trans Med Imaging, vol.23, p.52, 2004. ,
Tumor Volume in Pharyngolaryngeal Squamous Cell Carcinoma: Comparison at CT, MR Imaging, and FDG PET and Validation with Surgical Specimen, Radiology, vol.233, issue.1, pp.93-100, 2004. ,
DOI : 10.1148/radiol.2331030660
Comparison of Tumor Volumes as Determined by Pathologic Examination and FDG-PET/CT Images of Non???Small-Cell Lung Cancer: A Pilot Study, International Journal of Radiation Oncology*Biology*Physics, vol.75, issue.5, pp.1468-74, 2009. ,
DOI : 10.1016/j.ijrobp.2009.01.019
Developing a methodology for three-dimensional correlation of PET-CT images and whole-mount histopathology in non-smallcell lung cancer, Curr Oncol, vol.15, issue.5, pp.62-71, 2008. ,
FDG-PET provides the best correlation with the tumor specimen compared to MRI and CT in rectal cancer, Radiotherapy and Oncology, vol.98, issue.2, pp.270-276, 2011. ,
DOI : 10.1016/j.radonc.2010.11.018
PET CT thresholds for radiotherapy target definition in non-small-cell lung cancer: how close are we to the pathologic findings? SORTEO: Monte Carlo-based simulator with list-mode capabilities, Int J Radiat Oncol Biol Phys Jul Conf Proc IEEE Eng Med Biol Soc, vol.177, issue.58, pp.699-7063751, 2009. ,
GATE: a simulation toolkit for PET and SPECT Computerized threedimensional segmented human anatomy. Med Phys, 4D XCAT phantom for multimodality imaging research. Med Phys, pp.4543-61299, 1994. ,
Validation of PET-SORTEO Monte Carlo simulations for the geometries of the MicroPET R4 and Focus 220 PET scanners, Physics in Medicine and Biology, vol.52, issue.16, pp.4845-62, 2007. ,
DOI : 10.1088/0031-9155/52/16/009
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.943-62, 2006. ,
DOI : 10.1088/0031-9155/51/4/013
Incorporating Patient- Specific Variability in the Simulation of Realistic Whole-Body 18F-FDG Distributions for Oncology Applications, Proceedings of the IEEE, vol.9, issue.12, pp.2026-2064, 2009. ,
Measures of the Amount of Ecologic Association Between Species, Ecology, vol.26, issue.3, pp.297-302, 1945. ,
DOI : 10.2307/1932409
Potential place of FDG-PET for the GTV delineation in head and neck and lung cancers]. Cancer Radiother Tumor Treatment Response Based on Visual and Quantitative Changes in Global Tumor Glycolysis Using PET-FDG Imaging. The Visual Response Score and the Change in Total Lesion Glycolysis, Clin Positron Imaging, vol.132, issue.673, pp.6-7594, 1999. ,
Pre-therapy 18F-FDG PET quantitative parameters help in predicting the response to radioimmunotherapy in non-Hodgkin lymphoma, European Journal of Nuclear Medicine and Molecular Imaging, vol.29, issue.suppl, pp.494-504, 2010. ,
DOI : 10.1007/s00259-009-1275-x
Volume-Based Parameter of 18F-FDG PET/CT in Malignant Pleural Mesothelioma: Prediction of Therapeutic Response and Prognostic Implications, Annals of Surgical Oncology, vol.34, issue.1, pp.2787-94, 2010. ,
DOI : 10.1245/s10434-010-1107-z
Exploring feature-based approaches in PET images for predicting cancer treatment outcomes, Pattern Recognition, vol.42, issue.6, pp.1162-71, 2009. ,
DOI : 10.1016/j.patcog.2008.08.011
Spatial Heterogeneity in Sarcoma 18F-FDG Uptake as a Predictor of Patient Outcome, Journal of Nuclear Medicine, vol.49, issue.12, pp.1973-1982, 2008. ,
DOI : 10.2967/jnumed.108.053397
OncoPET_DB: A Freely Distributed Database of Realistic Simulated Whole Body 18F-FDG PET Images for Oncology, IEEE Transactions on Nuclear Science, vol.57, issue.1, pp.246-55, 2010. ,
DOI : 10.1109/TNS.2009.2034375
URL : https://hal.archives-ouvertes.fr/hal-00703700