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    Articles originaux

    2024

    • RD. Seban, L. Champion, A. De Moura, F. Lerebours, D. Loirat, JY. Pierga, L. Djerroudi, T. Genevee, V. Huchet, N. Jehanno, FC. Bidard, I. Buvat. Pre-treatment [18F]FDG PET/CT biomarkers for the prediction of antibody-drug conjugates efficacy in metastatic breast cancer. Eur J Nucl Med Mol Imaging, in press, 2024. version en ligne

    • N. Captier, F. Orlhac, N. Hovhannisyan-Baghdasarian, M. Luporsi, N. Girard, I. Buvat. RadShap: An Explanation Tool for Highlighting the Contributions of Multiple Regions of Interest to the Prediction of Radiomic Models. J Nucl Med. 65:1307-1312, 2024. version en ligne

    • R. Boellaard*, I. Buvat*, C. Nioche, L. Ceriani, AS. Cottereau, L. Guerra, RJ. Hicks, S. Kanoun, C. Kobe, A. Loft, H. Schöder, A. Versari, CA. Voltin, GJC. Zwezerijnen, JM. Zijlstra, NG. Mikhaeel, A. Gallamini, TC. El-Galaly, C. Hanoun, S. Chauvie, R. Ricci, E. Zucca, M. Meignan, SF. Barrington. International Benchmark for Total Metabolic Tumor Volume Measurement in Baseline 18F-FDG PET/CT of Lymphoma Patients: A Milestone Toward Clinical Implementation. J Nucl Med, 65:1343-1348, 2024. version en ligne

    • I. Buvat, W. Weber. Is ChatGPT a reliable ghostwriter? J Nucl Med, 65(10):1499-1502, 2024.version en ligne

    • D. Haberl, CP. Spielvogel, Z. Jiang, F. Orlhac, D. Iommi, I. Carrio, I. Buvat, AR. Haug, L. Papp. Multicenter PET image harmonization using generative adversarial networks. Eur J Nucl Med Mol Imaging, 51:2532-2546, 2024. version en ligne

    • N Hovhannisyan-Baghdasarian, M Luporsi, N Captier, C Nioche, C Cuplov, E Woff, N Hegarat, A Livartowski, N Girard, I Buvat, F Orlhac. New promising candidate prognostic biomarkers in 18F-FDG-PET images: evaluation in independent cohorts of NSCLC patients. J Nucl Med, 65:635-642, 2024.version en ligne

    • F. Fraioli, A. Albert, R. Boellaard, I. Boscolo Galazzo, M. Brendel, I. Buvat, M. Castellaro, D. Cecchin, PA. Fernandez, E. Guedj, A. Hammers, Z. Kaplar, S. Morbelli, L. Papp, K. Shi, N. Tolboom, T. Traub-Weidinger, A. Verger, D. Van Weehaeghe, I. Yakushev, M. Barthel. Application of Artificial Intelligence (AI) in molecular brain imaging: Perspectives from the Neuroimaging committee of the EANM. Eur J Nucl Med Mol Imaging, 51:1007-1011, 2024.version en ligne

    • B Kocak, T Akinci D'Antonoli, N Mercaldo, A Alberich-Bavarri, B Baessler, I Ambrosini, A Andreychenko, S Bakas, R Beets-Tan, K Bressem, I Buvat, R Cannella, LA Cappellini, AU Cavallo, LL Chepelev, LCH Chu, A Demircioglu, NM deSouza, M Dietzel, SC Fanni, A Fedorov, LS Fournier, V Giannini, R Girometti, KBW Groot Lipman, G Kalarakis, B Kelly, ME Klontas, DM Koh, E Kotter, HY Lee, M Maas, L Marti-Bonmati, H Müller, N Obuchowski, F Orlhac, N Papanikolaou, E Petrash, E Pfaehler, D Pinto dos Santos, A Ponsiglione, S Sabater, F Sardanelli, P Seeböck, NM Sijtema, A Stanzione, A Traverso, L Ugga, M Vallières, LV van Dijk, JJM van Griethuysen, RW van Hamersvelt, P van Ooijen, F Vernuccio, A Wang, S Williams, J Witowski, Z Zhang, A Zwanenburg, R Cuocolo. METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EusoMII. Insights into Imaging, 15(1):8, 2024. version en ligne

    • KB. Girum, AS. Cottereau, L. Vercellino, L. Rebaud, J. Clerc, O. Casasnovas, F. Morschhauser, C. Thieblemont, I. Buvat. Tumor location relative to the spleen is a prognostic factor in lymphoma patients: a demonstration from the REMARC trial. J Nucl Med, 65(2):313-319, 2024.version en ligne

    • AS. Cottereau, L. Rebaud, J. Trotman, P. Feugier, LJ. Nastoupil, E. Bachy, IW. Flinn, C. Haioun, L. Ysebaert, NL. Bartlett, H. Tilly, O. Casasnovas, R. Ricci, C. Portugues, I. Buvat, M. Meignan, F. Morschhauser. Metabolic tumor volume predicts outcome in advanced stage follicular lymphoma patients from the Relevance trial. Ann Oncol. 35:130-137, 2024. version en ligne

    • P Whybra, A Zwanenburg, V Andrearczyk, R Schaer, AP Apte, A Ayotte, B Baheti, S Bakas, A Bettinelli, R Boellaard, L Boldrini, I Buvat, GJR Cook, F Dietsche, N Dinapoli, HS Gabryś, V Goh, M Guckenberger, M Hatt, M Hosseinzadeh, A Iyer, J Lenkowicz, MAL Loutfi, A Löck, A Marturano, O Morin, C Nioche, F Orlhac, S Pati, A Rahmim, SM Rezaeijo, CG Rookyard, MR Salmanpour, A Schindele, I Shiri, E Spezi, S Tanadini-Lang, F Tixier, T Upadhaya, V Valentini, JJM van Griethuysen, F Yousefirizi, H Zaidi, H Müller, M Vallières, A Depeursinge. The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights. Radiology. 310:e231319, 2024. version en ligne

    2023

    • RD. Seban, E. Arnaud, D. Loirat, L. Cabel, P. Cottu, L. Djerroudi, A. Hescot, P. Loap, C. Bonneau, FC. Bidard, V. Huchet, N. Jehanno, A. Berenbaum, L. Champion, I. Buvat. [18F]FDG PET/CT for predicting triple-negative breast cancer outcomes after neoadjuvant chemotherapy with or without pembrolizumab. Eur J Nucl Med Mol Imaging. 50:4024-4035, 2023. version en ligne

    • M. Mahé, A. Beddok, F. Goudjil, C. Ala Eddine, S. Bolle, L. Champion, L. Feuvret, P. Herman, S. Zefkili, O. Choussy, C. Le Tourneau, R. Dendale, I. Buvat, E. Sauvaget, G. Créhange, V. Calugaru. Curative high-dose reirradiation for patients with recurrent head and neck adenoid cystic carcinomas: outcomes and analysis of patterns of failure. Int J Radiat Biol. 21:1-8, 2023. version en ligne

    • I. Buvat, W. Weber. Nuclear Medicine from a Novel Perspective: Buvat and Weber Talk with OpenAI's ChatGPT. J Nucl Med, 64:505-507, 2023. version en ligne

    • C. Nanni, C. Kobe, B. Baessler, C. Baues, R. Boellaard, P. Borchmann, A. Buck, I. Buvat, B. Chapuy, B. Cheson, R. Chrzan, AS. Cottereau, U. Dührsen, L. Eikenes, M. Hutchings, W. Jurczak, F. Kraeber-Bodéré, E. Kopci, S. Luminari, S. MacLennan, G. Mikhaeel, M. Nijland, P. Rodriguez-Otero, G. Treglia, N. Withofs, E. Zamagni, PL. Zinzani, JM. Zijlstra, K. Herrmann, J. Kunikowska. EANM Focus 4: Consensus on molecular imaging and therapy in haematological tumors. Lancet Haematol, 10:e367-e381, 2023. version en ligne

    • B. Saboury, T. Bradshaw, R. Boellaard, I. Buvat, J. Dutta, M. Hatt, AK. Jha, Q. Li, C. Liu, H. McMeekin, MA. Morris, PJH. Scott, E. Siegel, JJ. Sunderland, RL. Wahl, S. Zuehlsdorff, A. Rahmim. Toward Trustworthy Artificial Intelligence Ecosystems: Opportunities, Challenges, and Responsibilities in Nuclear Medicine. J Nucl Med, 64:188-196, 2023. version en ligne

    • A. Beddok, F. Orlhac, V. Calugaru, L. Champion, L. Ala Eddine, C. Nioche, G. Créhange, I. Buvat. 18F-FDG PET and MRI radiomic signatures to predict the risk and the location of tumor recurrence after re-irradiation in head and neck cancer. Eur J Nucl Med Mol Imaging, 50:559-571, 2023. version en ligne

    2022

    • A. Beddok, C. Saint-Martin, C. Ala Eddine, L. Champion, S. Krhili, A. Chilles, L. Catteau, F. Goudjil, S. Zefkili, M. Amessis, D. Peurien, O. Choussy, C. Le Tourneau, J. Klijanienko, R. Dendale, I. Buvat, G. Créhange, V. Calugaru. Curative high-dose reirradiation for patients with recurrent head and neck squamous cell carcinoma using IMRT or proton therapy: Outcomes and Analysis of patterns of failure. Head & Neck, 44:2452-2464, 2022. version en ligne

    • J. Bauer, M. Hildebrandt, M. Baumgartl, F. Fiedler, C. Robert, I. Buvat, W. Enghardt, K. Parodi. Quantitative assessment of radionuclide production yields in in-beam and offline PET measurements at different proton irradiation facilities. Phys Med Biol. 67:155001, 2022. version en ligne

    • R. Durmo, B. Donati, L. Rebaud, AS. Cottereau, A. Ruffini, M. Nizzoli, S. Ciavarella, M. Vegliante, C. Nioche, M. Meignan, F. Merli, A. Versari, A. Ciarrocchi, I. Buvat, S. Luminari. Prognostic value of lesion dissemination in ABVD-treated, iPET-negative cHL patients: a radio-genomic study. Hemat Oncol. 40:645-657, 2022. version en ligne

    • AK. Jha, JJ. Bradshaw, I. Buvat, M. Hatt, P. Kc, C. Liu, NF. Obuchowski, B. Saboury, PJ. Slomka, JJ. Sunderland, RL. Wahl, Z. Yu, S. Zuehlsdorff, A. Rahmim, R. Boellaard. Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE guidelines). J Nucl Med. 63:1288-1299, 2022. version en ligne

    • KB. Girum, L. Rebaud, AS. Cottereau, M. Meignan, J. Clerc, L. Vercellino, O. Casasnovas, F. Morschhauser, C. Thieblemont, I. Buvat. 18F-FDG PET maximum intensity projections and artificial intelligence: a win-win combination to easily measure prognostic biomarkers in DLBCL patients. J Nucl Med. 63:1925-1932, 2022. version en ligne

    • A. Peltier, R. Seban, I. Buvat, FC. Bidard, F. Mechta-Grigoriou. Fibroblast heterogeneity in solid tumors: from single cell analysis to whole-body imaging. Semin Cancer Biol. 86(Pt3):262-272, 2022. version en ligne

    • L. Dal Toso, Z. Chalampalakis, I. Buvat, C. Comtat, G. Cook, V. Goh, JA. Schnabel, PK. Marsden. Improved 3D Tumour Definition and Quantification of Uptake in Simulated Lung Tumours Using Deep Learning. Phys Med Biol. 67: 095013, 2022. version en ligne

    • A. Beddok, V. Calugaru, L. de Marzi, P. Graff, JL. Dumas, F. Goudjil, R. Dendale, M. Minsat, P. Verrelle, I. Buvat, G. Créhange. Clinical and technical challenges of cancer reirradiation: Words of wisdom. Crit Rev Oncol Hematol. 174: 103655, 2022. version en ligne

    • T. Escobar, S. Vauclin, F. Orlhac, C. Nioche, P. Pineau, L. Champion, H. Brisse, I. Buvat. Voxel-wise supervised analysis of tumors with multimodal engineered features to highlight interpretable biological patterns. Med Phys. 49: 3816-3829, 2022. version en ligne

    • D. Wallis, I. Buvat. Clever Hans effect found in a widely used brain tumour MRI dataset. Med Image Anal. 77: 102358, 2022. version en ligne

    • TJ. Bradshaw, R. Boellaard, J. Dutta, AK. Jha, P. Jacobs, Q. Li, C. Liu, A. Sitek, B. Saboury, PJH. Scott, PJ. Slomka, JJ. Sunderland, RL. Wahl, F. Yousefirizi, S. Zuehlsdorff, A. Rahmim, I. Buvat. Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development. J Nucl. Med. 63:500-510, 2022. version en ligne

    • GD. Kolinger, DV. García, GM. Kramer, V. Frings, GJC. Zwezerijnen, EF. Smit, AJ. De Langen, I. Buvat, R. Boellaard. Effects of tracer uptake time in non-small cell lung cancer 18F-FDG PET radiomics. J. Nucl. Med. 63:919-924, 2022. version en ligne

    • F. Orlhac, JJ. Eertink, AS. Cottereau, JM. Zijlstra, C. Thieblemont, M. Meignan, R. Boellaard, I. Buvat. A guide to ComBat harmonization of imaging biomarkers in multi center studies. J. Nucl. Med. 63:172-179, 2022. version en ligne

    • D. Wallis, M. Soussan, M. Lacroix, P. Akl, C. Duboucher, I. Buvat. An FDG-PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients. Eur J Nucl Med Mol Imaging. 49:881-888, 2022. version en ligne

    2021

    • C. Wimberley, I. Buvat, H. Boutin. Imaging translocator protein expression with Positron Emission Tomography. Eur J Nucl Med Mol Imaging. 49:74-76, 2021. version en ligne

    • F. Orlhac, I. Buvat. Comment on Ibrahim, A. et al. The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization. Cancers. 13: 3037, 2021. version en ligne

    • AS. Cottereau, M. Meignan, C. Nioche, J. Clerc, L. Chartier, L. Vercellino, O. Casasnovas, C. Thieblemont, I. Buvat. New approaches in characterisation of lesions dissemination in DLBCL patients on baseline PET/CT. Cancers. 13:3998, 2021. version en ligne

    • F. Orlhac, C. Nioche, I. Klyuzhin, A. Rahmim, I. Buvat. Radiomics in PET imaging - A practical guide for newcomers. PET Clin. 16:597-612, 2021. version en ligne

    • N. Aide, C. Lasnon, A. Kesner, C. Levin, I. Buvat, A. Iagaru, K. Hermann, RD. Badawi, R. Cherry, KM. Bradley, DR. McGowan. New PET technologies: embracing progress and pushing the limits. Eur. J. Nucl. Med. Mol. Imaging. 48: 2711–2726, 2021. version en ligne

    • T. Beyer, DL. Bailey, UJ. Birk, I. Buvat, C.Catana, Z. Cheng, Q. Fang, F. Giove, C. Kuntner, F. Laistler, F. Moscato, G. Nekolla, I. Rausch, I. Ronen, W. van Elmpt, S. Saarakkala, K. Thielemans, E. Moser. Medical Physics and Imaging – A timely perspective. Frontiers in Physics. 9: 206, 2021. version en ligne

    • RD. Seban, R. Rouzier, A. Latouche, N. Deleval, JM. Guinebretiere, I. Buvat, FC. Bidard, L. Champion. Total metabolic tumor volume and spleen metabolism on baseline [18F]-FDG PET/CT as independent prognostic biomarkers of recurrence in resected breast cancer. Eur. J. Nucl. Med. Mol. Imaging. 48: 3560-3570, 2021. version en ligne

    • I. Buvat, F. Orlhac. The T.R.U.E. checklist for identifying impactful AI-based findings in nuclear medicine: is it True? Is it Reproducible? Is it Useful? Is it Explainable? J. Nucl. Med. 62: 752-754, 2021. version en ligne

    • M. Weber, D. Kersting, L. Umutlu, M. Schäfers, C. Rischpler, WP. Fendler, I. Buvat, K. Herrmann, R. Seifert. Just another ‘Clever Hans’? Neural Networks and FDG PET‑CT to predict the Outcome of Patients with Breast Cancer. Eur. J. Nucl. Med. Mol. Imaging. 48: 3141-3150, 2021. version en ligne

    • A.S. Cottereau, M. Meignan, C. Nioche, N. Capobianco, J. Clerc, L. Chartier, L. Vercellino, O. Casasnovas, C. Thieblemont, I. Buvat. Risk stratification in diffuse large B cell lymphoma using lesion dissemination and metabolic tumor burden calculated from baseline PET/CT. Ann. Oncol. 32: 404-411, 2021. version en ligne

    • F. Orlhac, A. Lecler, J. Savatovski, J. Goya-Outi, C. Nioche, F. Charbonneau, N. Ayache, F. Frouin, L. Duron, I. Buvat. How can we combat multicenter variability in MR radiomics? Validation of a correction procedure. Eur. Rad. 31: 2272-2280, 2020. version en ligne

    • LKS. Sundar, O. Muzik, I. Buvat, L. Bidaut, T. Beyer. Potentials and caveats of artificial intelligence in hybrid imaging. Methods. 188: 4-19, 2021. version en ligne

    • N. Capobianco, M. Meignan, AS. Cottereau, L. Vercellino, L. Sibille, B. Spottiswoode, S. Zuehlsdorff, O. Casasnovas, C. Thieblemont, I. Buvat. Deep learning FDG uptake classification enables total metabolic tumor volume estimation in diffuse large B-cell lymphoma. J. Nucl. Med. 62: 30-36, 2021. version en ligne

    • MJ. Saint Martin, F. Orlhac, P. Akl, F. Khalid, C. Nioche, I. Buvat, C. Malhaire, F. Frouin. A radiomics pipeline dedicated to Breast MRI: validation on a multi-scanner phantom study. MAGMA. 34: 355-366, 2021.

    2020

    • WA. Weber, J. Czernin, CJ. Anderson, RD. Badawi, H. Bartel, F. Bengel, L. Bodei, I. Buvat, M. DiCarli, MM. Graham, J. Grimm, K. Herrmann, L. Kostakoglu, JS. Lewis, T. Peterson, H. Schelbert, H. Schoder, BA. Siegel, HW. Strauss, DM. Townsend. The future of nuclear medicine, molecular imaging, and theranostics. J. Nucl. Med. 61: 263S-272S, 2020. version en ligne

    • C. Wimberley, DL. Nguyen, C. Truillet, MA. Peyronneau, Z. Gulhan, M. Tonietto, F. Boumezbeur, R. Boisgard, S. Chalon, V. Bouilleret, I. Buvat. Longitudinal mouse-PET imaging: a reliable method for estimating binding parameters without a reference region or blood sampling. Eur J Nucl Med Mol Imaging. 47:2589-2601, 2020.version en ligne

    • A. Zwanenburg, M. Vallières, MA. Abdalah, HJWL. Aerts, V. Andrearczyk, A. Apte, S. Ashrafinia, S. Bakas, RJ. Beukinga, R. Boellaard, M. Bogowicz, L. Boldrini, I. Buvat, GJR. Cook, C. Davatzikos, A. Depeursinge, MC. Desseroit, N. Dinapoli, CV. Dinh, V. Echegaray, I. El Naqa, AY. Fedorov, R. Gatta, RJ. Gillies, V. Goh, M. Guckenberger, M. Götz, SM. Ha, M. Hatt, F. Isensee, P. Lambin, S. Leger, RTH. Leijenaar, J. Lenkowicz, F. Lippert, A. Losnegård, KH. Maier-Hein, O. Morin, H. Müller, S. Napel, C. Nioche, F. Orlhac, S. Pati, EAG. Pfaehler, A. Rahmim, AUK. Rao, J. Scherer, MM. Siddique, NM. Sijtsema, JS. Fernandez, E. Spezi, RJHM. Steenbakkers, S. Tanadini-Lang, D. Thorwarth, EGC. Troost, T. Upadhaya, C. Valentini, LV. van Dijk, J. van Griethuysen, FHP. van Velden, P. Whybra, C. Richter, S. Löck. The Image Biomarker Standardization Initiative: standardized quantitative radiomics for highthroughput image-based phenotyping. Radiology. 295:328-338, 2020.

    • M. Lacroix, F. Frouin, AS. Dirand, C. Nioche, F. Orlhac, JF. Bernaudin, PY. Brillet, I. Buvat. Correction for magnetic field inhomogeneities and normalization of voxel values are needed to better reveal the potential of MR radiomic features in lung cancer. Front Oncol. version en ligne, doi: 10.3389/fonc.2020.00043, 2020.

    • AS. Cottereau, C. Nioche, AS. Dirand, J. Clerc, F. Morschhauser, O. Casasnovas, MA. Meignan, I. Buvat. 18F-FDG-PET dissemination features in diffuse large B cell lymphoma are predictive of outcome. J. Nucl. Med. 61: 40-45, 2020. version en ligne

    2019

    • AS. Dirand, F. Frouin, I. Buvat. A downsampling strategy to assess the predictive value of radiomic features. Sci. Rep. 9:17869, 2019. version en ligne

    • I. Buvat, F. Orlhac. The dark side of Radiomics: on the paramount importance of publishing negative results. J. Nucl. Med. 60: 1543-1544, 2019. version en ligne

    • C. Laurent, L. Ricard, O. Fain, I. Buvat, A. Adedjouma, M. Soussan, A. Mekinian. PET/MRI in large-vessel vasculitis: clinical value for diagnosis and assessment of disease activity. Sci. Rep. 9:12388, 2019. version en ligne

    • L. De Marzi, A. Da Fonseca, C. Moignier, A. Patriarca, F. Goudjil, A. Mazal, I. Buvat, J. Hérault. Experimental characterisation of a proton kernel model for pencil beam scanning techniques. Phys. Med. 64:195-203, 2019. version PDF

    • P. Veit-Haibach, I. Buvat, K. Herrmann. AI and Radiomics in Nuclear Medicine and Hybrid Imaging: potential, challenges and clinical role. Eur. J. Nucl. Med. Mol. Imaging. 46: 2627-2629, 2019.

    • F. Orlhac, F. Frouin, C. Nioche, N. Ayache, I. Buvat. Validation of a method to compensate multicenter effects affecting CT radiomic features. Radiology. 91:53-59. 2019. version en ligne

    2018

    • S. Goutal, M. Gerstenmayer, S. Auvity, F. Caillé, S. Mériaux, I. Buvat, B. Larrat, N. Tournier. Physical blood-brain barrier disruption induced by focused ultrasound does not overcome the transporter-mediated efflux of erlotinib. J Control. Release. 292:210-220, 2018.

    • S. Boughdad, C. Nioche, F. Orlhac, L. Jehl, L. Champion, I. Buvat. Influence of age on radiomic features in 18F-FDG PET in normal breast tissue and in breast cancer tumors. Oncotarget, 9:30855-30868, 2018. version PDF

    • C. Nioche, F. Orlhac, S. Boughdad, S. Reuzé, J. Goya-Outi, C. Robert, C. Barakat, M. Soussan, F. Frouin, I. Buvat. LIFEx: a freeware for radiomic feature calculation in multimodality imaging to accelerate advances in the characterization of tumor heterogeneity. Cancer Res, 78:4786-4789, 2018. version en ligne

    • S. Reuzé, A. Schernberg, F. Orlhac, R. Sun, L. Dercle, E. Deutsch, I. Buvat, C. Robert. Radiomics in Nuclear Medicine applied to Radiation Therapy: methods, pitfalls and challenges. Int. J. Radiat. Oncol. Biol. Phys., 102:1117-1142, 2018. version PDF

    • S. Auvity, F. Caillé, S. Marie, C. Wimberley, M. Bauer, O. Langer, I. Buvat, S. Goutal, N. Tournier. P-glycoprotein (ABCB1) inhibits the influx and increases the efflux of 11C-metoclopramide across the blood-brain barrier: a PET study on non-human primates. J. Nucl. Med. 59:1609-1615, 2018.

    • J. Goya-Outi, F. Orlhac, R. Calmon, A. Alentorn, C. Nioche, C. Philippe, S. Puget, N. Boddaert, I. Buvat, J. Grill, V. Frouin, F. Frouin. Computation of reliable textural indices from multimodal brain MRI: suggestions based on a study of patients with diffuse intrinsic pontine glioma. Phys. Med. Biol. 63:105003, 2018. version PDF

    • AS. Cottereau, I. Buvat, S. Kanoun, A. Versari, O. Casasnovas, S. Chauvie, J. Clerc, A. Gallamini, M. Meignan. Is there an optimal method for measuring baseline metabolic tumour volume in diffuse large B cell lymphoma? Eur. J. Nucl. Med. Mol. Imaging. 45:1463-1464, 2018. version PDF

    • DL. Nguyen, C. Wimberley, C. Truillet, B. Jego, F. Caillé, G. Pottier, R. Boisgard, I. Buvat, V. Bouilleret. Longitudinal positron emission tomography imaging of glial cell activation in a mouse model of mesial temporal lobe epilepsy: Toward identification of optimal treatment windows. Epilepsia. 59:1234-1244, 2018. version PDF

    • F. Orlhac, S. Boughdad, C. Philippe, H. Stalla-Bourdillon, C. Nioche, L. Champion, M. Soussan, F. Frouin, V. Frouin, I. Buvat. A post-reconstruction harmonization method for multicenter radiomic studies in PET. J. Nucl. Med. 59:1321–1328, 2018. version PDF

    • F. Kucharczak, K. Loquin, I. Buvat, O. Strauss, D. Mariano-Goulart. Interval-based reconstruction for uncertainty quantification in PET. Phys. Med. Biol. 63: 035014, 2018. version PDF

    • C. Wimberley, S. Lavisse, MA. Peyronneau, V. Brulon, C. Leroy, P. Remy, B. Stankoff, I. Buvat, M. Bottlaender. The impact of endothelial TSPO on the quantification of 18F-DPA714 in the healthy human. J. Nucl. Med. 59: 307-314, 2018. version PDF

    • A. Schernberg, S. Reuzé, F. Orlhac, I. Buvat, L. Dercle, R. Sun, E. Limkin, A. Escande, C. Haie-Meder, E. Deutsch, C. Robert. A score combining baseline neutrophilia and the SUVpeak of the primary tumor on FDG-PET predicts outcome in locally advanced cervical cancer. Eur. J. Nucl. Med. Mol. Imaging. 45:187-195, 2018. version PDF

    • W. Saba, S. Goutal, S. Auvity, B. Kuhnast, C. Coulon, V. Kouyoumdjian, I. Buvat, C. Leroy, N. Tournier. Imaging the neuroimmune response to alcohol exposure in adolescent baboons: a TSPO PET study using 18F-DPA-714. Addict. Biol. 23:1000-1009, 2018.

    2017

    • M. Khalifé, B. Fernandez, O. Jaubert, M. Soussan, V. Brulon, I. Buvat, C. Comtat. Subject-specific bone attenuation correction for brain PET/MR: can ZTE-MRI substitute CT scan accurately? Phys. Med. Biol. 62: 7814-7832, 2017.version PDF

    • M. Rahim, B. Thirion, D. Bzdok, I. Buvat, G. Varoquaux. Joint prediction of multiple scores captures better individual traits from brain images. Neuroimage. 158: 145-154, 2017.

    • S. Marie, S. Cisternino, I. Buvat, X. Declèves, N. Tournier. Imaging probes and modalities for the study of Solute Carrier O (SLCO)-transport function in vivo. J. Pharm Sci. 106: 2335-2344, 2017.

    • S. Reuzé, F. Orlhac, C. Chargari, C. Nioche, E. Limkin, F. Riet, A. Escande, C. Haie-Meder, L. Dercle, S. Gouy, I. Buvat, E. Deutsch, C. Robert. Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners. Oncotarget. 8: 43169-43179, 2017. [version PDF](/articlesversion PDF

    • F. Orlhac, C. Nioche, M. Soussan, I. Buvat. Understanding changes in tumor textural indices in PET: a comparison between visual assessment and index values in simulated and patient data. J. Nucl. Med. 58: 387-392, 2017. version PDF

    • S. Auvity, W. Saba, S. Goutal, C. Leroy, I. Buvat, J. Cayla, F. Caillé, M. Bottlaender, S. Cisternino, N. Tournier. Acute morphine exposure increases the brain distribution of [18F]DPA-714, a PET biomarker of glial activation in nonhuman primates. Int. J. Neuropsychopharmacology. 20: 67-71, 2017. DOI: http://dx.doi.org/10.1093/ijnp/pyw077

    • N. Tournier, S. Goutal, S. Auvity, A. Traxl, S. Mairinger, T. Wanek, OB. Helal, I. Buvat, M. Soussan, F. Caillé, O. Langer. Strategies to inhibit ABCB1- and ABCG2-mediated efflux transport of erlotinib at the blood-brain barrier: a PET study in non-human primates. J. Nucl. Med. 58: 117-122, 2017. version PDF

    • C. Nanni, AS. Cottereau, E. Lopci, C. Bodet-Milin, M. Coronado, B. Pro, WS. Kim, J. Trotman, SF. Barrington, U. Duhrsen, T. Vander Borght, E. Zamagni, F. Kraeber-Bodéré, C. Messiou, A. Rahmouni, I. Buvat, M. Andre, M. Hertzberg, W. Oyen, O. Casasnovas, S. Luminari, L. Garderet, F. Montravers, A. Versari, E. Zucca, Ph. Moreau, B. Cheson, C. Haioun, A. Gallamini and M. Meignan. Report of the 6th international workshop on PET in lymphoma. Leukemia Lymphoma: 1029-2403, 2017. [version PDF](/articlesversion PDF

    • S. Auvity, S. Goutal, B. Thézé, C. Chaves, B. Hosten, B. Kuhnast, W. Sabad, R. Boisgard, I. Buvat, S. Cisternino, N. Tournier. Evaluation of TSPO PET imaging, a marker of glial activation, to study the neuroimmune footprints of morphine exposure and withdrawal. Drug Alcohol Depend. 170:43-50, 2017. version PDF

    2016

    • J. Strydhorst, T. Carlier, A. Dieudonné, M. Conti, I. Buvat. A GATE evaluation of the sources of error in quantitative 90Y PET. Med. Phys. 43: 5320, 2016. version PDF

    • J. Strydhorst, I. Buvat. Redesign of the GATE PET coincidence sorter. Phys. Med. Biol. 61: N522-N531, 2016. version PDF

    • F. Orlhac, B. Thézé, M. Soussan, R. Boisgard, I. Buvat. Multi-scale texture analysis: from 18F-FDG PET images to pathological slides. J. Nucl. Med. 57: 1823-1828, 2016. version PDF

    • BE. Zimmerman, D. Grosev, I. Buvat, MA. Coca Perez, EC. Frey, A. Green, A. Krisanachinda, M. Lassmann, M. Ljungberg, L. Pozzo, K. Afroj Quadir, MA. Teran Gretter, J. Van Staden, GL Poli. Multi-centre evaluation of accuracy and reproducibility of planar and SPECT image quantification: an IAEA phantom study. Z. Med. Phys. http://dx.doi.org/10.1016/j.zemedi.2016.03.008, 2016.

    • I. Buvat. Using simulations of the detector performance for enhanced image reconstruction in molecular imaging. Nucl. Instr. Meth. Phys. Res. A. 809: 89-95, 2016. version PDF

    • G. Pottier, S. Marie, S. Goutal, S. Auvity, MA. Peyronneau, S. Stute, R. Boisgard, F. Dollé, I. Buvat, F. Caillé, N. Tournier. Imaging the impact of the P-glycoprotein (ABCB1) function on the brain kinetics of metoclopramide. J. Nucl. Med. 57: 309-314, 2016. version PDF

    2015

    • F. Orlhac, M. Soussan, K. Chouahnia, E. Martinod, I. Buvat. 18F-FDG PET-derived textural indices reflect tissue-specific uptake pattern in non small cell lung cancer. Plos One 10(12):e0145063, 2015.

    • I. Buvat, F. Orlhac, M. Soussan. Tumor texture analysis in PET: where do we stand? J. Nucl. Med. 56: 1642-1644, 2015. version PDF

    • J. Lebenberg, A. Lalande, P. Clarysse, I. Buvat, C. Casta, A. Cochet, C. Constantinidès, J. Cousty, A. de Cesare, S. Jehan-Besson, M. Lefort, L. Najman, E. Roullot, L. Sarry, C. Tilmant, F. Frouin, M. Garreau. Improved estimation of cardiac function parameters using a combination of independent automated segmentation results in cardiovascular magnetic resonance imaging. Plos One 10: e0135715, 2015. published online

    • B. Thézé, N. Bernards, A. Beynel, S. Bouet, B. Kuhnast, I. Buvat, B. Tavitian, R. Boisgard. Monitoring therapeutic efficacy of sunitinib using [18F]FDG and [18F]FMISO PET in an immunocompetent model of luminal B (HER2-positive)-type mammary carcinoma. BMC Cancer. 15:534, 2015. doi: 10.1186/s12885-015-1540-2. published online

    • M. Moreau, I. Buvat, L. Ammour, N. Chouin, F. Kraeber-Bodéré, M. Cherel, T. Carlier. Assessment of a fully 3D Monte Carlo reconstruction method for preclinical PET with iodine-124. Phys. Med. Biol. 60:2475-1491, 2015. version PDF

    • P. Huet, S. Burg, D. Le Guludec, F. Hyafil, I. Buvat. Variability and uncertainty of FDG PET imaging protocols for assessing inflammation in atherosclerosis: suggestions for improvement. J. Nucl. Med. 56:552-559, 2015. version PDF

    • H. Zbib, S. Mouysset, S. Stute, JM Girault, J. Charara, S. Chalon, L. Galineau, I. Buvat, C. Tauber. Unsupervised spectral clustering for segmentation of dynamic PET images. IEEE Trans. Nucl. Sci. 62: 840-850, 2015.

    • S. Vauclin, C. Michel, I. Buvat, K. Doyeux, A. Edet-Sanson, P. Vera, I. Gardin, S. Hapdey. Monte Carlo simulations of clinically-realistic respiratory gated 18F-FDG PET: Application to lesion detectability and volume measurements. Computer Meth. Prog. Biomed., 118:84-93, 2015. version PDF

    2014

    • V. Jouen, P. Gonzalez, S. Stute, D. Guilloteau, S. Chalon, I. Buvat, C. Tauber. Variational segmentation of vector-valued images with gradient vector flow. IEEE Trans. Image Process. 23: 4773-4785, 2014.

    • M. Soussan, F. Orlhac, M. Boubaya, L. Zelek, M. Ziol, V. Eder, I. Buvat. Relationship between tumor heterogeneity measured on FDG-PET/CT and pathological prognostic factors in invasive breast cancer. Plos One 9: e94017, 2014.version PDF

    • D. Sarrut, M. Bardies, N. Boussion, N. Freud, S. Jan, JM. Létang, G. Loudos, L. Maigne, S. Marcatili, T. Mauxion P. Papadimitroulas, Y. Perrot, U. Pietrzyk, C. Robert, D. Schaart, D. Visvikis, I. Buvat. A review of the use and potential of the GATE Monte Carlo code for radiation therapy and dosimetry applications. Med. Phys. 41:064301, 2014. version PDF

    • M. Soussan, J. Cyrta, C. Pouliquen, K. Chouahnia, F. Orlhac, E. Martinod, V. Eder, JF. Morère, I. Buvat. Volume-based indices on FDG-PET/CT in locally advanced non-small-cell lung cancer: prediction of histological response after induction chemotherapy. Radiology, 272: 875-884, 2014.version PDF

    • P. Vera, B. Dubray, O. Palie, I. Buvat, S. Hapdey, R. Modzelewski, A. Benyoucef, C. Rousseau, ME. Meyer, S. Bardet, I. Gardin, F. Di Fiore, P. Michel. Monitoring tumour response during chemo-radiotherapy: a parametric method using FDG-PET/CT images in patients with oesophageal cancer. Eur. J. Nucl. Med. Mol. Imaging Research, 4: 12. doi: 10.1186/2191-219X-4-12, 2014. version PDF

    • V. Cuplov, I. Buvat, F. Pain, S. Jan. Extension of the GATE Monte Carlo simulation package to model bioluminescence and fuorescence imaging. J. Biomed. Optics 19:026004, doi: 10.1117/1.JBO.19.2.026004, 2014. version PDF

    • F. Orlhac, M. Soussan, JA. Maisonobe, CA. Garcia, B. Vanderlinden, I. Buvat. Tumor texture analysis in 18F-FDG-PET: relationships between texture parameters, histogram indices, SUVs, metabolic volumes and total lesion glycolysis. J. Nucl. Med. 55: 414-422, 2014. version PDF

    2013

    • M. Mesradi, A. Genoux, V. Cuplov, D. Abi Haidar, S. Jan, I. Buvat, F. Pain. Experimental and analytical comparative study of optical coefficient of fresh and frozen rat tissues. J. Biomed. Optics 18:117010, doi:10.1117/1.JBO.18.11.117010, 2013. version PDF

    • S. Burg, A. Dupas, S. Stute, A. Dieudonné, P. Huet, D. Le Guludec, I. Buvat. Partial volume effect estimation and correction in aortic vascular wall in PET imaging. Phys. Med. Biol. 58: 7527-7542, 2013. version PDF

    • C. Robert, N. Fourrier, D. Sarrut, S. Stute, P. Gueth, L. Grevillot, I. Buvat. PET-based dose delivery verification in proton therapy: a GATE based simulation study of five PET system designs in clinical conditions. Phys. Med. Biol. 58: 6867-6885, 2013. version PDF

    • S. Mouysset, H. Zbib, S. Stute, JM. Girault, J. Charara, J. Noailles, S. Chalon, I. Buvat, C. Tauber. Segmentation of dynamic PET images with kinetic spectral clustering. Phys. Med. Biol. 58: 6931-6944, 2013. version PDF

    • F. Ben Bouallègue, JF. Crouzet, A. Dubois, I. Buvat, D. Mariano-Goulart. Least squares dual characterization for ROI assessment in emission tomography. Phys. Med. Biol. 58: 4175-4194, 2013.version PDF

    • C. Robert, G. Dedes, G. Battistoni, TT. Böhlen, I. Buvat, F. Cerutti, MPW. Chin, A. Ferrari, P. Gueth, C. Kurz, L. Lestand, A. Mairani, G. Montarou, R. Nicolini, P.G. Ortega, K. Parodi, Y. Prezado, P.R. Sala, D. Sarrut, E. Testa. Distributions of secondary particles in proton and carbon-ion therapy: a comparison between GATE/Geant4 and FLUKA Monte Carlo codes. Phys. Med. Biol. 58: 2879-2899, 2013.version PDF

    • M. Soussan, K. Chouahnia, JA. Maisonobe, M. Boubaya, V. Eder, JF. Morère, I. Buvat. Prognostic implications of volume-based measurements on FDG-PET/CT in stage III non-small-cell lung cancer after induction chemotherapy. Eur J. Nucl Med. Mol. Imaging 40: 668-676, 2013. version PDF

    • JA. Maisonobe, CA. Garcia, H. Necib, B. Vanderlinden, A. Hendlisz, P. Flamen, I. Buvat. Comparison of PET metabolic indices for the early assessment of tumour response in metastatic colorectal cancer patients treated by polychemotherapy. Eur J. Nucl Med. Mol. Imaging 40: 166-174, 2013.version PDF

    • C. Nioche, M. Soret, E. Gontier, M. Lahutte, G. Dutertre, R. Dulou, L. Capelle, R. Guillevin, H. Foehrenbach, I. Buvat. Evaluation of quantitative criteria for glioma grading with static and dynamic 18F-FDopa PET/CT. Clin. Nucl. Med. 38: 81-87, 2013.version PDF

    • G. Carrault, O. Meste, D. Kouame, I. Buvat. Theme B: Biomedical signal and image processing. IRBM. 34: 6-8, 2013.

    2012

    • K. Erlandsson, I. Buvat, PH. Pretorius, BA. Thomas, BF. Hutton. A review of partial volume correction techniques for emission tomography and their applications in neurology, cardiology and oncology. Phys. Med. Biol. 57: R119-R159, 2012. version PDF

    • I. Buvat, H. Necib, C. Garcia, A. Wagner, B. Vanderlinden, P. Emonts, A. Hendlisz, P. Flamen. Lesion-based detection of early chemosensitivity using serial static FDG PET-CT in metastatic colorectal cancer. Eur J. Nucl Med. Mol. Imaging: 1628-1634, 2012. version PDF

    • J. Lebenberg, I. Buvat, A. Lalande, P. Clarysse, C. Casta, A. Cochet, C. Constantinidès, J. Cousty, A. de Cesare, S. Jehan-Besson, M. Lefort, L. Najman, E. Roullot, L. Sarry, C. Tilmant, M. Garreau, F. Frouin. Non-supervised ranking of different segmentation approaches. Application to the estimation of the left ventricular ejection fraction from cardiac cine MRI sequences. IEEE Trans. Med. Imaging 31: 1651-1660, 2012. version PDF

    • E. Seravalli, C. Robert, J. Bauer, F. Stichelbaut, C. Kurz, J. Smeets, C. Van Ngoc Ty, D.R. Schaart, I. Buvat, K. Parodi, F. Verhaegen. Monte Carlo calculations of positron emitter yields in proton radiotherapy. Phys. Med. Biol. 57: 1659-1673, 2012. version PDF

    • S. Stute, S. Vauclin, H. Necib, N. Grotus, P. Tylski, N.S. Rehfeld, S. Hapdey, I. Buvat. Realistic and efficient modeling of radiotracer heterogeneity in Monte Carlo simulations of PET images with tumors. IEEE Trans. Nucl. Sci. 59: 113-122, 2012. version PDF

    2011

    • C. Tauber, S. Stute, M. Chau, P. Spiteri, S. Chalon, D. Guilloteau, I. Buvat. Spatio-temporal diffusion of dynamic PET images. Phys. Med. Biol. 56: 6583–-6596, 2011. version PDF

    • S. Stute, T. Carlier, K. Cristina, C. Noblet, A. Martineau, B. Hutton, L. Barnden, I. Buvat. Monte Carlo simulations of clinical PET and SPECT scans: impact of the input data on the simulated images. Phys. Med. Biol. 56: 6441-6457, 2011.version PDF

    • B. Hutton, I. Buvat, F. Beekman. Review and current status of SPECT scatter correction. Phys. Med. Biol. 56: R85-R112, 2011. version PDF

    • M. Bardiès, I. Buvat. What are the specifics in image quantification for dosimetry ? Q. J. Nucl. Med. Mol. Imaging 55: 5-20, 2011. version PDF

    • C. Robert, G. Montemont, V. Rebuffel, L. Verger, I. Buvat. Optimization of a parallel hole collimator / CdZnTe gamma-camera architecture for scintimammography. Med. Phys. 38: 1806-1819, 2011. version PDF

    • S. Hapdey, I. Buvat, JM. Carson, JA. Carrasquillo, M. Whatley, SL. Bacharach. Searching for alternatives to full kinetic analysis in 18F-FDG PET: an extension of the Simplified Kinetic Analysis method. J. Nucl. Med. 52: 634-641, 2011. version PDF

    • S. Stute, D. Benoit, A. Martineau, N. Rehfeld, I. Buvat. A method for accurate modelling of the crystal response function at a crystal sub-level applied to PET reconstruction. Phys. Med. Biol. 56: 793-809, 2011. version PDF

    • S. Jan, D. Benoit, E. Becheva, T. Carlier, F. Cassol, P. Descourt, T. Frisson, L. Grevillot, L. Guigues, L. Maigne, C. Morel, Y. Perrot, N. Rehfeld, D. Sarrut, D.R. Schaart, S. Stute, U. Pietrzyk, D. Visvikis, N. Zahra, I. Buvat. GATE V6: a major enhancement of the GATE simulation platform enabling modelling of CT and radiotherapy. Phys. Med. Biol. 56: 881-901, 2011. version PDF

    • H. Necib, C. Garcia, A. Wagner, B. Vanderlinden, P. Emonts, A. Hendlisz, P. Flamen, I. Buvat. Detection and characterization of tumor changes in FDG PET patient monitoring using parametric imaging. J. Nucl. Med. 52: 354-361, 2011. version PDF

    2010

    • N. Rehfeld, S. Vauclin, S. Stute, I. Buvat. Multidimensional B-spline parameterization of the detection probability of PET systems to improve the efficiency of Monte Carlo simulations. Phys. Med. Biol. 55: 3339-3361, 2010. version PDF

    • C. Robert, G. Montemont, V. Rebuffel, I. Buvat, L. Guérin, L. Verger. Simulation-based evaluation and optimization of a new CdZnTe gamma-camera architecture (HiSens). Phys. Med. Biol. 55: 2709-2726, 2010. version PDF

    • P. Descourt, T. Carlier, Y. Du, X. Song, I. Buvat, EC. Frey, M. Bardiès, BMW. Tsui, D. Visvikis. Implementation of Angular Response Function modeling in SPECT simulations with GATE. Phys. Med. Biol. 55:N253-N266, 2010. version PDF

    • P. Tylski, S. Stute, N. Grotus, K. Doyeux, S. Hapdey, I. Gardin, B.Vanderlinden, I. Buvat. Comparative assessment of methods for estimating tumor volume and Standardized Uptake Value in FDG PET. J. Nucl. Med. 51: 268-276, 2010. version PDF

    • K. Assié, A. Dieudonné, I. Gardin, P. Véra, I. Buvat. A preliminary study of quantitative protocols in Indium 111 SPECT using computational simulations and phantoms. IEEE Trans. Nucl. Sci. 57:1096-1104, 2010. version PDF

    • C. Lartizien, JB Aubin, I. Buvat. Comparison of bootstrap resampling methods for 3D PET imaging. IEEE Trans. Med. Imaging. 29:1442-1454, 2010. version PDF

    2009

    • N. Grotus, A.J. Reader, S. Stute, J.C. Rosenwald, P. Giraud, I. Buvat. Fully 4D list-mode reconstruction applied to respiratory-gated PET scans. Phys. Med. Biol. 54 : 1705-1721, 2009. version PDF

    • N.S. Rehfeld, S. Stute, J. Apostolakis, M. Soret, I. Buvat. Optimization of photon tracking in GATE. Phys. Med. Biol. 54 : 2163-2178, 2009. version PDF

    2008

    • F.C. Sureau, A.J. Reader, C. Comtat, C. Leroy, M.J. Ribeiro, I. Buvat, R. Trebossen. Impact of Image Space Resolution Modeling for the High Resolution Research Tomograph. J. Nucl. Med. 49: 1000-1008, 2008 version PDF

    • T. Berghmans, M. Dusart, M. Paesmans, I. Buvat C. Hossein-Foucher, C. Castaigne, A. Scherpereel, C. Mascaux, M. Moreau, M. Roelandts, S. Alard, A.P. Meert, E.F. Patz, J.J. Lafitte, J.P. Sculier. Primary tumour standardized uptake value (SUV max) measured on fluorodeoxyglucose positron emission tomography (FDG-PET) is of prognostic value for survival in non-small cell lung cancer (NSCLC) : A systematic review and meta-analysis (MA) by the European Lung Cancer Working Party for the IASLC Lung Cancer Staging Project. J. Thorac. Oncol. 3: 6-12, 2008. version PDF

    • K. Assié, A Dieudionné, I. Gardin, I. Buvat, H. Tilly, P. Vera. Comparison between 2D and 3D dosimetry protocols in 90Y-Ibritumomab Tiuxetan Radioimmunotherapy of patients with non-Hodgkin's lymphoma. Cancer Biotherapy and Radiopharmaceuticals. 23 :53-64, 2008. version PDF

    • A. Reilhac, S. Tomei, I. Buvat, C. Michel, F. Kehren, N. Costes. Simulation-based evaluation of OSEM iterative reconstruction methods in dynamic brain PET studies. Neuroimage. 39: 359-368, 2008. version PDF

    2007

    • G. Santin, S. Staelens, R. Taschereau, P. Descourt, CR. Schmidtlein, L. Simon, D. Visvikis, S. Jan, I. Buvat. Evolution of the GATE project: new results and developments. Nucl. Physics B 172: 101-103, 2007. version PDF

    • M. Soret, SL. Bacharach, I. Buvat. Partial volume effect in PET tumor imaging. J. Nucl. Med. 48: 932-945, 2007.version PDF

    • I. Buvat. Les limites du SUV. Med. Nucl. 31:165-172, 2007. version PDF

    • I. Buvat. Quantification in emission tomography: challenges, solutions, and performance. Nucl. Instr. Meth. Phys. Res. 571: 10-13, 2007. version PDF

    • M. Soret, J. Alaoui, PM. Koulibaly, J. Darcourt, I. Buvat. Accuracy of partial volume effect correction in clinical molecular imaging of dopamine transporter using SPECT. Nucl. Instr. Meth. Phys. Res. A. 571: 173-176, 2007. version PDF

    2006

    • AJ. Reader, FC. Sureau, C. Comtat, R. Trébossen, I. Buvat. Joint estimation of dynamic PET images and temporal basis functions using fully 4D ML-EM. Phys. Med. Biol. 51: 5455-5474, 2006. version PDF

    • S. Hapdey, M. Soret, I. Buvat. Quantification in simultaneous 99mTc/123I brain SPECT using generalized spectral factor analysis: a Monte Carlo study. Phys. Med. Biol. 51: 6157-6171, 2006. version PDF

    • C. Merheb, S. Nicol, Y. Petegnief, JN. Talbot, I. Buvat. Assessment of the Mosaic animal PET system response using list mode data for validation of GATE Monte Carlo modelling. Nucl. Instr. Meth. Phys. Res. 569: 220-224, 2006. version PDF

    • I. Buvat, D. Lazaro. Monte Carlo simulations in emission tomography and GATE: an overview. Nucl. Instr. Meth. Phys. Res. 569: 323-329, 2006. version PDF

    • Z. El Bitar, D. Lazaro, V. Breton, D. Hill, I. Buvat. Fully 3D Monte Carlo image reconstruction in SPECT using functional regions. Nucl. Instr. Meth. Phys. Res. 569: 399-403, 2006. version PDF

    • D. Ducreux, I. Buvat, JF. Meder, D. Mikulis, A. Crawley, D. Fredy, K. TerBrugge, P. Lasjaunias, J. Bittoun. Perfusion-weighted MRI studies in brain arteriovenous shunts: comparison of methods for perfusion measurement. Am. J. Neuroradiol. 27 : 1059-1069, 2006.

    • M. Soret, PM. Koulibaly, J. Darcourt, I. Buvat. Partial volume effect correction in SPECT for striatal uptake measurements in patients with neurodegenerative diseases: impact upon patient classification. Eur. J. Nucl. Med. Mol. Imaging. 33, 1062-1072, 2006. version PDF

    • S. Staelens, J. De Beenhouwer, D. Kruecker, L. Maigne, F. Rannou, L. Ferrer, Y. D'Asseler, I. Buvat, I. Lemahieu. GATE: improving the computational efficiency. Nucl. Instr. Meth. A 569: 341-345, 2006. version PDF

    2005

    • I. Buvat, I. Castiglioni, J. Feuardent, MC. Gilardi. Unified description and validation of Monte Carlo simulators in PET. Phys. Med. Biol. 50, 329-346, 2005. version PDF

    • I. Castiglioni, I. Buvat, G. Rizzo, M.C. Gilardi, J. Feuardent, F. Fazio. An open-to-public Monte Carlo database for validation purpose in Emission Tomography. Eur. J. Nucl. Med. Mol. Imaging. 32:1234-1239, 2005. version PDF

    • C. Grova, P. Jannin, I. Buvat, H. Benali, J.Y. Bansard, A. Biraben, B. Gibaud. From anatomic standardization analysis of perfusion SPECT data to perfusion pattern modelling. Academic Radiology, 12, 554-565, 2005. version PDF

    • LJ. Salomon, JP. Bernard, M. Duyme, I. Buvat, Y. Ville. Impact of the choice of reference charts and equations on the assessment of fetal biometry. Ultrasound in Obstetrics and Gynecology. 25: 559-565, 2005. version PDF

    • J. Feuardent, M. Soret, O. de Dreuille, H. Foehrenbach, I. Buvat. Reliability of SUV Estimates in FDG PET as a Function of Acquisition and Processing Protocols using the CPET. IEEE Trans Nucl. Sci. 52,1447-1452, 2005 version PDF

    • K. Assié, I. Gardin, P. Vera, I. Buvat. Validation of the Monte Carlo simulator GATE for Indium 111 imaging. Phys. Med. Biol. 50, 3113-3125, 2005. version PDF

    • D. Lazaro, Z. El Bitar, V. Breton, D. Hill, I. Buvat. Fully 3D Monte Carlo reconstruction in SPECT: a feasibility study. Phys Med Biol.,50, 3739-3754, 2005. version PDF

    2004

    • C. Riddell, H. Benali, I. Buvat. Diffusion regularization for iterative reconstruction in emission tomography. IEEE Trans. Nucl. Sci. 51:712-718, 2004.version PDF

    • D. Lazaro, I. Buvat, G. Loudos, D. Strul, G. Santin, N. Giokaris, D. Donnarieix, L. Maigne, V. Spanoudaki, S. Styliaris, S. Staelens, V. Breton. Validation of the GATE Monte Carlo simulation platform for modelling a CsI(Tl) scintillation camera dedicated to small-animal imaging . Phys. Med. Biol., 49:271-285, 2004. version PDF

    • K. Assié, V. Breton, I. Buvat, C. Comtat, S. Jan, M. Krieguer, D. Lazaro, C. Morel, M. Rey, G. Santin, L. Simon, S. Staelens, D. Strul, JM. Vieira, R. Van de Walle. Monte Carlo simulation in PET and SPECT instrumentation using GATE. Nucl. Instr. and Meth. Phys. Res. A. 527:180-189, 2004. version PDF

    • D. Lazaro, V. Breton, I. Buvat. Feasibility and value of fully 3D Monte Carlo reconstruction in Single Photon Emission Computed Tomography. Nucl. Instrum. Methods A, 527:195-200, 2004. version PDF

    • S. Jan, G. Santin, D. Strul, S. Staelens, K. Assié, D. Autret, S. Avner, R. Barbier, M. Bardiès, P.M. Bloomfield, D. Brasse, V. Breton, P. Bruyndonckx, I. Buvat, AF. Chatziioannou, Y. Choi, YH. Chung, C. Comtat, D. Donnarieix, L. Ferrer, SJ. Glick, CJ. Groiselle, D. Guez, PF. Honore, S. Kerhoas-Cavata, AS. Kirov, V. Kohli, M. Koole, M. Krieguer, DJ. van der Laan, F. Lamare, G. Largeron, C. Lartizien, D. Lazaro, MC. Maas, L. Maigne, F. Mayet, F. Melot, C. Merheb, E. Pennacchio, J. Perez, U. Pietrzyk, FR. Rannou, M. Rey, DR. Schaart, CR. Schmidtlein, L. Simon, TY. Song, JM. Vieira, D. Visvikis, R. Van de Walle, E. Wieèrs, C. Morel. GATE: a simulation toolkit for PET and SPECT. Phys. Med. Biol. 49,4543-4561,2004. version PDF

    2003

    • M. Soret, PM. Koulibaly, J. Darcourt, S. Hapdey, I. Buvat. Quantitative accuracy of dopaminergic neurotransmission imaging using 123I SPECT. J. Nucl. Med., 44:1184-1193, 2003. version PDF

    • B. Aubert-Broche, C. Grova, P. Jannin, I. Buvat, H. Benali, B. Gibaud. Detection of inter-hemispheric asymmetries of brain perfusion in SPECT. Phys. Med. Biol. 48:1505-1517, 2003. version PDF

    • C. Grova, P. Jannin, A. Biraben, I. Buvat, H. Benali, AM. Bernard, JM. Scarabin, B. Gibaud. A methodology for generating normal and pathological brain perfusion SPECT images for evaluation of MRI/SPECT fusion methods: application in epilepsy. Phys. Med. Biol. 48:4023-4043, 2003. version PDF

    2002

    • I. Buvat. A non-parametric bootstrap approach for analysing the statistical properties of SPECT and PET images. Phys. Med. Biol., 47:1761-1775, 2002. version PDF

    • I. Buvat, I. Castiglioni. Monte Carlo methods in PET and SPECT. Quarterly J. Nucl. Med., 46: 48-59, 2002. version PDF

    • C. Riddell, I. Buvat, A. Savi, M.C. Gilardi, F. Fazio. Iterative reconstruction of SPECT data with adaptive regularization. IEEE Trans. Nucl. Sci., 49: 2350-2354, 2002.version PDF

    • M. Soret, C. Riddell, S. Hapdey, I. Buvat. Biases affecting the measurements of tumor-to-background activity ratio in PET. IEEE Trans. Nucl. Sci., 49: 2112-2118, 2002. version PDF

    • G. Delpon, L. Ferrer, C. Lenta, A. Lisbona, I. Buvat, M. Bardiès. Comparison of four scatter correction methods in patient whole-body imaging during therapeutic trials with iodine-131. Cancer, 94,1224-1230, 2002.

    • C. Grova, P. Jannin, A. Biraben, I. Buvat, H. Benali, A.M. Bernard, J.M. Scarabin, B. Gibaud. Validation of MRI/SPECT similarity-based registration methods using realistic simulations of normal and pathological SPECT data. Computer Assisted Radiology and Surgery, 450-455, 2002.

    • B. Aubert-Broche, C. Grova, P. Jannin, I. Buvat, H. Benali, B. Gibaud. Detection of Inter-hemispheric Asymmetries of Brain Perfusion in SPECT. MICCAI 2002. Lecture Notes in Computer Science. T. Dohi and R. Kikins eds, Springer. 2488: 500-507, 2002. version PDF

    2001

    • I. Buvat, S. Laffont, J. Le Cloirec, P. Bourguet, R. Di Paola. Importance of the choice of the collimator for the detection of small lesions in scintimammography:a phantom study. Phys. Med. Biol. 46, 1343-1356, 2001. version PDF

    • C. Amblard, H. Benali, I. Buvat, C. Comtat, P. Grangeat. Application de la méthode du Maximum d'Entropie sur la Moyenne àla reconstruction de foyers d'hyperfixation en tomographie d'émission de positons. Traitement du Signal, 18, 35-46, 2001.

    • C. Grova, A. Biraben, J.M. Scarabin, P. Jannin, I. Buvat, H. Benali, B. Gibaud. A methodology to validate MRI/SPECT registration methods using realistic simulated SPECT data. MICCAI 2001. Lecture Notes in Computer Science. W.J. Niessen and M.A. Viergever eds, Springer, Utrecht. 2208: 275-282, 2001. version PDF

    2000

    • G. El Fakhri, I. Buvat, P. Almeida, B. Bendriem, A. Todd-Pokropek, H. Benali. Should scatter be corrected in both transmission and emission data for accurate quantitation in cardiac SPECT? Eur J. Nucl. Med. 27,1356-1364, 2000. version PDF

    • G. El Fakhri, I. Buvat, H. Benali, A. Todd-Pokropek, R. Di Paola. Relative impact of scatter, collimator response, attenuation, and finite spatial resolution corrections in cardiac SPECT. J. Nucl. Med. 41, 1400-1408, 2000. version PDF

    1999

    • I. Buvat, S. Hapdey, H. Benali, A. Todd-Pokropek, R. Di Paola. Spectral factor analysis for multi-isotope imaging in nuclear medicine. Information Processing in Medical Imaging. A. Kuba, M. Samal and A. Todd-Pokropek eds, Springer, Berlin, 442-447, 1999. version PDF

    • I. Buvat, G. El Fakhri, M. Pélégrini, H. Benali, A. Todd-Pokropek, R. Di Paola. Importance respective des différentes corrections physiques en SPECT. Revue de l'ACOMEN. 5, 169-179, 1999. version PDF

    • R. Vidal, I. Buvat, J. Darcourt, O. Migneco, P. Desvignes, M. Baudouy, F. Bussière. The impact of attenuation correction by simultaneous emission/transmission tomography on the visual assessment of Tl-201 myocardial perfusion images: a clinical study. J. Nucl. Med. 40, 1301-1309, 1999. version PDF

    • G. El Fakhri, I. Buvat, M. Pélégrini, H. Benali, P. Almeida, B. Bendriem, A. Todd-Pokropek, R. Di Paola. Respective roles of scatter, attenuation, depth-dependent collimator response and finite spatial resolution in cardiac SPECT quantitation: a Monte Carlo study. Eur. J. Nucl. Med. 26, 437-446, 1999. version PDF

    • M. Pélégrini, I. Buvat, H. Benali, G. El Fakhri, P. Grangeat, R. Di Paola. A spline-regularized minimal residual algorithm for iterative attenuation correction in SPECT. Phys. Med. Biol. 44, 2623-2642, 1999. version PDF

    • E. Hindié, I. Buvat, C. Jeanguillaume, A. Prigent, P. Galle. Quantitation in planar renal scintigraphy: which mu value should be used? Eur. J. Nucl. Med. 26, 1610-1613,1999. version PDF

    • I. Buvat, V. Chameroy, F. Aubry, M. Pélégrini, G. El Fakhri, C. Huguenin, H. Benali, A. Todd-Pokropek, R. Di Paola. The need to develop guidelines for evaluations of medical image processing procedures. SPIE Medical Imaging. 3661, 1466-1477, 1999. version PDF

    • C. Huguenin, V. Chameroy, F. Aubry, I. Buvat, H. Benali, A. Todd-Pokropek, R. Di Paola. Testing observer's ability to detect if an image had been compressed shows large observer variability. SPIE Medical Imaging. 3658, 538-549, 1999.

    1998

    • I. Buvat, M.C. De Sousa, M. Di Paola, M. Ricard, J. Lumbroso, B. Aubert. Impact of scatter correction in planar mammoscintigraphy. J. Nucl. Med. 39, 1590-1596, 1998. version PDF

    • M. Pélégrini, H. Benali, I. Buvat, G. El Fakhri,, R. Di Paola. Two-dimensional statistical model for regularized backprojection in SPECT. Phys. Med. Biol. 43, 421-434, 1998. version PDF

    • I. Buvat, H. Benali, R. Di Paola. Statistical distribution of factors and factor images in factor analysis of medical image sequences. Phys. Med. Biol. 43, 1695-1711, 1998. version PDF

    • I. Buvat, G. El Fakhri, M. Pélégrini, H. Benali, R. Di Paola. Comparaison de différents protocoles de correction d'atténuation en imagerie cardiaque SPECT. Revue de l'ACOMEN. 4, 121-129, 1998. version PDF

    • I. Buvat, G. El Fakhri, M. Pélégrini, H. Benali, R. Di Paola. Effets de la diffusion et de méthodes de correction simples d'emploi en SPECT. Revue de l'ACOMEN. 4, 130-140, 1998. version PDF

    • P.M. Koulibaly, I. Buvat, M. Pélégrini, G. El Fakhri. Correction de la perte de résolution avec la profondeur. Revue de l'ACOMEN. 4, 114-120, 1998. version PDF

    1997

    • I. Buvat, M.L. Bartlett, A.N. Kitsiou, V. Dilsizian, S.L. Bacharach. A "hybrid" method for measuring myocardial wall thickening from gated PET/SPECT images. J. Nucl. Med. 38, 324-329, 1997.

    • I. Buvat, M.L. Bartlett, A.N. Kitsiou, J.M. Carson, G. Srinivasan, K.A. Nour, V. Dilsizian, S.L. Bacharach. Using Spatial-Temporal Images for Analysis of Gated Cardiac Tomographic Data: The M-Mode Revisited. In: Information Processing in Medical Imaging. J. Duncan and G. Gindi eds, Springer, Berlin, 85-98, 1997.

    • C.W. Choi, W.C. Barker, I. Buvat, J.A. Carrasquillo, S.L. Bacharach. Implications of dual-energy-window (DEW) scatter correction inaccuracies for 111In quantitative geometric mean imaging. Nucl. Med. Comm. 18, 79-86, 1997.

    • M.L. Bartlett, I. Buvat, J.J. Vaquero López, D. Mok, V. Dilsizian, S.L. Bacharach. Measurement of myocardial wall thickening from PET/SPECT images: comparison of two methods. J. Comput. Assist. Tomogr. 20, 473-481, 1996.

    • I. Buvat, H. Benali, R. Di Paola. Correction de la diffusion en scintigraphie monophotonique. Revue de l'ACOMEN. 2, 196-209, 1996.

    • F. Bonnin, I. Buvat, H. Benali, R. Di Paola. A comparative study of scatter correction methods for scintigraphic images. In: The Year Book of Nuclear Medicine. A. Gottschalk ed., Mosby, St Louis, 435-436, 1996.

    1995

    • I. Buvat, M. Rodriguez-Villafuerte, A. Todd-Pokropek, H. Benali, R. Di Paola. Comparative assessment of nine scatter correction methods based on spectral analysis using Monte Carlo simulations. J. Nucl. Med. 36, 1476-1488, 1995. version PDF

    • I. Buvat, H. Benali, A. Todd-Pokropek, R. Di Paola. A new correction method for gamma camera non-uniformity due to energy response variability. Phys. Med. Biol. 40, 1357-1374, 1995. version PDF

    • S.L. Bacharach, I. Buvat. Attenuation correction in cardiac PET and SPECT. J. Nucl. Cardiol. 2, 246-255, 1995. version PDF

    1994

    • I. Buvat, H. Benali, A. Todd-Pokropek, R. Di Paola. Scatter correction in scintigraphy: the state of the art. Eur. J. Nucl. Med. 21, 675-694, 1994.

    • I. Buvat, H. Benali, R. Di Paola. Answer to the question of the month. Nucl. Med. Comm. 15, 306, 1994.

    • F. Bonnin, I. Buvat, H. Benali, R. Di Paola. A comparative clinical study of scatter correction methods for scintigraphic images. Eur. J. Nucl. Med. 21, 388-393, 1994.

    • H. Benali, J.P. GuÃÂ(c)don, I. Buvat, MPélégrini, Y. Bizais, R. Di Paola. A statistical model for tomographic reconstruction using spline functions. SPIE Medical Imaging. 2299, 242-251, 1994.

    • M. Pélégrini, H. Benali, M. Ricard, I. Buvat, F. Frouin, G. El Fakhri, B. Aubert, R. Di Paola. Statistical model for 3D noise filtering in SPECT. Proceedings of 1995 international meeting on fully three-dimensional image reconstruction in radiology and nuclear medicine. Aix-les-Bains, France. 149-154, 1995.

    • H. Benali, I. Buvat, F. Frouin, J.P. Bazin, R. Di Paola. CAMIS: Clustering algorithm for medical image sequences. SPIE 2299, 336-347, 1994.

    • H. Benali, I. Buvat, F. Frouin, J.P. Bazin, R. Di Paola. Foundations of factor analysis of medical image sequences: a unified approach and some practical implications. Image and Vision Computing. 12, 375-385, 1994. version PDF

    1993

    • I. Buvat, H. Benali, F. Frouin, J.P. Bazin, R. Di Paola. Target apex-seeking in factor analysis of medical image sequences. Phys. Med. Biol. 38, 123-138, 1993. version PDF

    • H. Benali, I. Buvat, F. Frouin, J.P. Bazin, R. Di Paola. A statistical model for the determination of the optimal metric in factor analysis of medical image sequences. Phys. Med. Biol. 38, 1065-1080, 1993. version PDF

    • H. Benali, F. Frouin, I. Buvat, F. Aubry, F. Coillet, J.P. Bazin, R. Di Paola. Optimal metric for Factor Analysis of Medical Image Sequences (FAMIS). SPIE Medical Imaging. 1898, 396-407, 1993.

    • F. Frouin, L. Cinotti, H. Benali, I. Buvat, J.P. Bazin, P. Millet, R. Di Paola. Extraction of functional volumes from medical dynamic volumetric data sets. Comput. Med. Imaging Graph. 17, 397-404, 1993.

    1992

    • I. Buvat. Correction de la diffusion en imagerie scintigraphique. Thèse de doctorat en Sciences Physiques. Université Paris XI, 1992.

    1991

    • I. Buvat, F. Frouin, M. Ricard, J.P. Bazin, B. Aubert, R. Di Paola. Compton-scatter correction by constrained factor analysis of spectral structures. In: Nuclear Medicine. H.A.E. Schmidt and J.B. van der Schoot eds, Schattauer-Verlag, Stuttgart New-York, 46-48, 1991.
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