B. Krause, S. Schwarzenbock, M. Souvatzoglou, . Fdg, P. /. Pet et al., FDG PET and PET/CT, Recent Results Cancer Res, vol.187, pp.351-69, 2013.
DOI : 10.1007/978-3-642-10853-2_12

P. Jarritt, K. Carson, A. Hounsell, and D. Visvikis, 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

R. Wahl, H. Jacene, Y. Kasamon, and M. Lodge, 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

K. Herrmann, M. Benz, B. Krause, K. Pomykala, A. Buck et al., 18)F- FDG-PET/CT in evaluating response to therapy in solid tumors: where we are and where we can go, Q J Nucl Med Mol Imaging, vol.55, issue.6, pp.620-652, 2011.

H. Chen, N. Chiu, W. Su, H. Guo, and B. Lee, Prognostic Value of Whole-Body Total Lesion Glycolysis at Pretreatment FDG PET/CT in Non???Small Cell Lung Cancer, Radiology, vol.264, issue.2, pp.559-66, 2012.
DOI : 10.1148/radiol.12111148

D. Kahraman, A. Holstein, and M. Scheffler, Tumor Lesion Glycolysis and Tumor Lesion Proliferation for Response Prediction and Prognostic Differentiation in Patients With Advanced Non???Small Cell Lung Cancer Treated With Erlotinib, Clinical Nuclear Medicine, vol.37, issue.11, pp.1058-1064, 2012.
DOI : 10.1097/RLU.0b013e3182639747

K. Kim, S. Kim, I. Kim, Y. Kim, K. Pak et al., Prognostic value of volumetric parameters measured by F-18 FDG PET/CT in surgically resected non-small-cell lung cancer, Nuclear Medicine Communications, vol.33, issue.6, pp.613-620, 2012.
DOI : 10.1097/MNM.0b013e328351d4f5

S. Liao, B. Penney, and K. Wroblewski, Prognostic value of metabolic tumor burden on 18F-FDG PET in nonsurgical patients with non-small cell lung cancer, European Journal of Nuclear Medicine and Molecular Imaging, vol.136, issue.2, pp.27-38, 2012.
DOI : 10.1007/s00259-011-1934-6

S. Hyun, H. Ahn, and H. Kim, Volume-based assessment by 18F-FDG PET/CT predicts survival in patients with stage III non-small-cell lung cancer, European Journal of Nuclear Medicine and Molecular Imaging, vol.47, issue.Suppl 3, pp.50-58, 2014.
DOI : 10.1007/s00259-013-2530-8

S. Basu, T. Kwee, R. Gatenby, B. Saboury, D. Torigian et al., Evolving role of molecular imaging with PET in detecting and characterizing heterogeneity of cancer tissue at the primary and metastatic sites, a plausible explanation for failed attempts to cure malignant disorders, European Journal of Nuclear Medicine and Molecular Imaging, vol.37, issue.9, pp.987-91, 2011.
DOI : 10.1007/s00259-011-1787-z

D. Visvikis, M. Hatt, F. Tixier, C. Le-rest, and C. , The age of reason for FDG PET image-derived indices, European Journal of Nuclear Medicine and Molecular Imaging, vol.25, issue.3, pp.1670-1672, 2012.
DOI : 10.1007/s00259-012-2239-0
URL : https://hal.archives-ouvertes.fr/inserm-00733622

P. Lambin, E. Rios-velazquez, and R. Leijenaar, Radiomics: Extracting more information from medical images using advanced feature analysis, European Journal of Cancer, vol.48, issue.4, pp.441-447, 2012.
DOI : 10.1016/j.ejca.2011.11.036

S. Chicklore, V. Goh, M. Siddique, A. Roy, P. Marsden et al., Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis, European Journal of Nuclear Medicine and Molecular Imaging, vol.25, issue.1, pp.133-173, 2013.
DOI : 10.1007/s00259-012-2247-0

F. Davnall, C. Yip, and G. Ljungqvist, Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? Insights Imaging Are pretreatment 18F-FDG PET tumor textural features in non-small cell lung cancer associated with response and survival after chemoradiotherapy? Improved prognostic value of 18F-FDG PET using a simple visual analysis of tumor characteristics in patients with cervical cancer, J Nucl Med. J Nucl Med, vol.35444, issue.612, pp.573-89, 2003.

E. Naqa, I. Grigsby, P. Apte, and A. , Exploring feature-based approaches in PET images for predicting cancer treatment outcomes, Pattern Recognition, vol.42, issue.6, pp.1162-1171, 2009.
DOI : 10.1016/j.patcog.2008.08.011

F. Van-velden, P. Cheebsumon, and M. Yaqub, Evaluation of a cumulative SUV-volume histogram method for parameterizing heterogeneous intratumoural FDG uptake in non-small cell lung cancer PET studies, European Journal of Nuclear Medicine and Molecular Imaging, vol.72, issue.9, pp.1636-1683, 2011.
DOI : 10.1007/s00259-011-1845-6

F. Tixier, L. Rest, C. Hatt, and M. , Intratumor heterogeneity characterized by textural features on baseline 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer Variability of textural features in FDG PET images due to different acquisition modes and reconstruction parameters, J Nucl Med. Acta Oncol, vol.5249, issue.207, pp.369-781012, 2010.

M. Hatt, F. Tixier, C. Le-rest, C. Pradier, O. Visvikis et al., Robustness of intratumour 18F-FDG PET uptake heterogeneity quantification for therapy response prediction in oesophageal carcinoma, European Journal of Nuclear Medicine and Molecular Imaging, vol.44, issue.Spec No 1, pp.1662-1671, 2013.
DOI : 10.1007/s00259-013-2486-8

D. Visvikis, A. Turzo, and A. Gouret, Characterisation of SUV accuracy in FDG PET using 3-D RAMLA and the Philips Allegro PET scanner A fuzzy locally adaptive Bayesian segmentation approach for volume determination in PET, J Nucl Med. IEEE Trans Med Imaging, vol.4528, issue.56, pp.881-93, 2004.

M. Hatt, C. Le-rest, C. Descourt, and P. , 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

M. Hatt, C. Le-rest, C. Albarghach, N. Pradier, O. Visvikis et al., PET functional volume delineation: a robustness and repeatability study, European Journal of Nuclear Medicine and Molecular Imaging, vol.97, issue.12, pp.663-72, 2011.
DOI : 10.1007/s00259-010-1688-6
URL : https://hal.archives-ouvertes.fr/inserm-00574273

M. Hatt, C. Rest, C. Aboagye, and E. , Reproducibility of 18F-FDG and 3'-Deoxy-3'-18F-Fluorothymidine PET Tumor Volume Measurements, Journal of Nuclear Medicine, vol.51, issue.9, pp.1368-76, 2010.
DOI : 10.2967/jnumed.110.078501
URL : https://hal.archives-ouvertes.fr/inserm-00537774

L. Pogam, A. Hanzouli, H. Hatt, M. , C. Le-rest et al., Denoising of PET images by combining wavelets and curvelets for improved preservation of resolution and quantitation, Medical Image Analysis, vol.17, issue.8, pp.877-891, 2013.
DOI : 10.1016/j.media.2013.05.005
URL : https://hal.archives-ouvertes.fr/inserm-00844926

N. Boussion, C. Le-rest, C. Hatt, M. Visvikis, and D. , 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

T. Watabe, M. Tatsumi, and H. Watabe, Intratumoral heterogeneity of F-18 FDG uptake differentiates between gastrointestinal stromal tumors and abdominal malignant lymphomas on PET/CT Brooks FJ, Grigsby PW. The effect of small tumor volumes on studies of intratumoral heterogeneity of tracer uptake, Ann Nucl Med. J Nucl Med Off Publ Soc Nucl Med, vol.2655, issue.31, pp.222-227, 2012.

J. Cuaron, M. Dunphy, and A. Rimner, Role of FDG-PET scans in staging, response assessment, and follow-up care for non-small cell lung cancer, Frontiers in Oncology, vol.2, p.208, 2012.
DOI : 10.3389/fonc.2012.00208