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Journal Article

  1. [GAMB-17]“Eliminating the blood-flow confounding effect in intravoxel incoherent motion (IVIM) using the non-negative least square analysis in liver.”, Magn. Reson. Med., vol. 77, 2017.
  2. [LEPO-17a]“Combined quantification of fatty infiltration, T 1-relaxation times and T 2*-relaxation times in normal-appearing skeletal muscle of controls and dystrophic patients”, Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 30, pp. 407 - 415, 2017.
    http://link.springer.com/10.1007/s10334-017-0616-1http://link.springer.com/content/pdf/10.1007/s10334-017-0616-1.pdfhttp://link.springer.com/article/10.1007/s10334-017-0616-1/fulltext.htmlhttp://link.springer.com/content/pdf/10.1007/s10334-017-0616-1.pdf
  3. [LAMB-15b]B. Leporq, Lambert, S. A., Ronot, M., Boucenna, I., Colinart, P., Cauchy, F., Vilgrain, V., Paradis, V., and Van Beers, B. E., “Hepatic fat fraction and visceral adipose tissue fatty acid composition in mice: quantification with 7.0T MRI”, Magnetic Resonance in Medecine, 2015.
  4. [LEPO-15a]B. Leporq, Saint Jalmes, H., Rabrait, C., Guillaud, O., Dumortier, J., Scoazec, J. - Y., Pilleul, F., and Beuf, O., “Optimization of intra-voxel incoherent motion imaging at 3.0T for fast acquisition time in liver examination”, JMRI, vol. 41, 2015.
  5. [LAMB-14d]B. Leporq, Lambert, S. A., Ronot, M., Vilgrain, V., and Van Beers, B. E., “Quantification of the triglyceride fatty acid composition with 3.0 T MRI”, NMR in Biomedicine, 2014.
  6. [LEPO-13a]B. Leporq, Camarasu-Pop, S., Dávila Serrano, E. E., Pilleul, F., and Beuf, O., “Enabling 3D-Liver Perfusion Mapping from MR-DCE Imaging Using Distributed Computing”, Journal of Medical Engineering, vol. 2013, 2013.
    http://www.hindawi.com/journals/jme/2013/471682/
  7. [LEPO-13b]B. Leporq, Ratiney, H., Pilleul, F., and Beuf, O., “Liver fat volume fraction quantification with fat and water T1 and T2* estimation and accounting for NMR multiple components in patients with chronic liver disease at 1.5 and 3.0 T”, European Radiology, vol. 23, 2013.
  8. [LEPO-12a]B. Leporq, Dumortier, J., Pilleul, F., and Beuf, O., “3D-liver perfusion MRI with the MS-325 blood pool agent: A noninvasive protocol to asses liver fibrosis.”, J Magn Reson Imaging, vol. 35, 2012.
  9. [LEPO-11a]B. Leporq, Beuf, O., and Pilleul, F., “IRM de perfusion hépatique avec un agent de contraste à rémanence vasculaire”, J Radiol, vol. 92, pp. 257-261, 2011.

Conference Paper

  1. [NEME-17e]“Impact of time sample selection and model function design on the quantification of fatty acid composition: in vitro and in vivo studies.”, in ISMRM, Honolulu, Hawaï, États-Unis, 2017.
  2. [NEME-17f]“Quantification of abdominal subcutaneous and visceral fat by magnetic resonance imaging of the proton at 3T: application to an overfeeding protocol.”, in ISMRM, Honolulu, Hawaï, États-Unis, 2017.
  3. [NEME-17a]“Etude de modèles paramétriques pour l’estimation de la composition lipidique en spectroscopie de résonance magnétique : comparaison théorique des fonctions modèles et application in vivo”, in SFRMBM, Bordeaux, 2017.
  4. [NEME-17d]“Quantification des graisses abdominales sous-cutanées et viscérales par résonance magnétique nucléaire du proton à 3T : application à un protocole de surnutrition”, in RITS, Lyon, 2017.
  5. [NEME-17c]“MODELE PARAMETRIQUE POUR L’ESTIMATION DE LA COMPOSITION LIPIDIQUE EN SPECTROSCOPIE DE RESONANCE MAGNETIQUE ”, in RITS, Lyon, 2017.
  6. [NEME-17b]“Analyses quantitatives et qualitatives des adiposités abdominales avec une séquence multi-écho de gradient à 3T appliquées à un protocole de surnutrition.”, in SFRMBM, Bordeaux, 2017.
  7. [NEME-17h]“Quantification of abdominal subcutaneous and visceral fat by magnetic resonance imaging of the proton at 3T: application to an overfeeding protocol”, in ITS-ITMO, Lyon, 2017.
    https://its.aviesan.fr/index.php?pagendx=822&first_library=0&max_library=20&from=library-list&archive_lib=0&name=library&section=library-show&id[LIB_ID]=1367&id[LEL_ID]=1379
  8. [NEME-16c]“Eau décalée : un biomarqueur IRM de l’obésité ?”, in Journée scientifique FST, Lyon, FRANCE, 2016.PDF icon Poster_FST_nemeth_final.pdf (1.31 MB)
  9. [NEME-16d]“Detection of adipose tissue fatty acid composition changes with 3.0T MRI in a 1 month overfeeding protocol.”, in ESMRMB, Vienna, AUSTRIA, 2016.
  10. [NEME-16b]“Quantification volumique des graisses abdominales sous-cutanées et viscérales par résonance magnétique nucléaire du proton à 3T : application à un protocole de surnutrition.”, in FINYS, Doudan, FRANCE, 2016.
  11. [LEPO-16a]“Simultaneous Quantitative Susceptibility, PDFF and Transversal Relaxation Time Mapping in Dystrophic Skeletal Muscle”, in 24th Annual meeting of the ISMRM, Singapore, 2016.
  12. [LEPO-14a]B. Leporq, Pilleul, F., Dumortier, J., Guillaud, O., Lefort, T., Valette, P. - J., and Beuf, O., “Distinction between non-advanced and advanced liver fibrosis: Comparison between MR DCE imaging and T2-corrected IVIM at 3.0T”, in Joint annual meeting ESMRMB-ISMRM, Milan, Italy, 2014.
  13. [LEPO-14b]B. Leporq, Auguste-Lambert, S., D'Assignies, G., Ratiney, H., Ronot, M., Vilgrain, V., Beuf, O., and Van Beers, B., “Quantification of triglyceride fatty acid composition in the fatty liver, subcutaneous and visceral adipose tissues with 3.0T MRI”, in Joint annual meeting ESMRMB-ISMRM, 2014.
  14. [LEPO-13e]B. Leporq, Pilleul, F., Dumortier, J., Guillaud, O., Lefort, M., and Beuf, O., “Liver perfusion quantification with MR-DCE imaging at 3.0 T for liver fibrosis assessment in patients with chronic liver diseases”, in 21th Annual meeting of the ISMRM, Salt Lake City, USA, 2013, p. 3911.
  15. [LEPO-13f]B. Leporq, Pilleul, F., Dumortier, J., Guillaud, O., Lefort, M., and Beuf, O., “Distinction between pure steatosis and NASH using a fat quantification method in combination with liver intravoxel incoherent motion imaging in MRI at 3.0 T”, in 21th Annual meeting of the ISMRM, Salt Lake City, USA, 2013, p. 3880.
  16. [LEPO-13g]B. Leporq, Le Troter, A., Le Fur, Y., Salort-Campana, E., Cozzone, P. J., Beuf, O., and Bendahan, D., “Combination of a fat volume fraction quantification method with a dedicated automatic segmentation algorithm for simultaneous measurement of infiltrated fatty tissue fraction and muscle relaxation times”, in 21th Annual meeting of the ISMRM, Salt Lake City, USA, 2013, p. 4040.
  17. [LEPO-13c]B. Leporq, Pilleul, F., Dumortier, J., Guillaud, O., Lefort, T., Valette, P. J., and Beuf, O., “Combination of liver intravoxel incoherent motion imaging with MR fat quantification at 3.0T to distinguish between pure steatosis and NASH”, in European Congress of Radiology, Vienna, Austria, 2013.
  18. [LEPO-13d]B. Leporq, Pilleul, F., and Beuf, O., “Liver fat volume fraction quantification in patients with chronic liver diseases with separated estimation of fat and water relaxation times at 1.5 and 3.0T”, in European Congress of Radiology, Vienna, Austria, 2013.
  19. [MONN-13]F. Monnier, Ratiney, H., Leporq, B., Laville, M., Seyssel, K., Valette, P. - J., and Beuf, O., “Abdominal fat segmentation using T1- and T2*- corrected images and characterization by proton spectroscopy: preliminary study”, in 30th Scientific Meeting of ESMRMB, Toulouse, France, 2013.
  20. [LEPO-12b]B. Leporq, Ratiney, H., Pilleul, F., and Beuf, O., “MR-liver steatosis assessment using a magnitude-based technique with independent fat and water T2* estimations, T1-related bias correction and accounting for spectral complexity of fat”, in Congrès inaugural de la Société Française de Résonance Magnétique en Biologie et Médecine (SFRMBM), Marseille, 2012.
  21. [LEPO-12c]B. Leporq, Ratiney, H., Saint Jalmes, H., Pilleul, F., and Beuf, O., “MR-liver fat volume fraction quantification using a magnitude-based technique with independent fat and water T2* estimations, T1-related bias correction and accounting for fat multiple resonances”, in 20th Scientific meeting of the ISMRM, Melbourne, Australia, 2012.
  22. [LEPO-12e]B. Leporq, Pilleul, F., and Beuf, O., “Optimization of liver intravoxel incoherent motion imaging protocol at 3.0T for chronic liver diseases assessment”, in European Congress of Radiology, 2012.
  23. [LEPO-12d]B. Leporq, Pilleul, F., and Beuf, O., “Liver intravoxel incoherent motion imaging at 3.0T: comparison with conventional dual b-values method”, in European Congress of Radiology, Vienna, Austria, 2012.
  24. [LEPO-11b]B. Leporq, Beuf, O., Grenier, D., and Pilleul, F., “Liver intravoxel incoherent motion imaging at 3.0T with eDWI sequence - preliminary experience”, in European Society for Magnetic Resnonace in Medicine and Biology, Leipzig, 2011.
  25. [LEPO-11d]B. Leporq, Camarasu-Pop, S., Pilleul, F., and Beuf, O., “3D-liver MR-DCE imaging for quantitative perfusion mapping using EGI grid”, in Colloque Recherche en Imagerie et Technologies pour la Santé (RITS), Rennes, France, 2011.
  26. [LEPO-11c]B. Leporq, Camarasu-Pop, S., Pilleul, F., and Beuf, O., “3D-liver quantitative perfusion mapping using EGEE grid with MR-DCE imaging and MS-325 blood pool contrast agent”, in ISMRM, Montreal, Canada, 2011, p. 2046.
  27. [LEPO-10b]B. Leporq, Beuf, O., Grenier, D., and Pilleul, F., “3D-liver perfusion MR imaging with MS-325 blood pool contrast agent to evaluate liver fibrosis”, in ISMRM-ESMRMB Joint Annual Meeting, Stockholm, Sweden, 2010.
  28. [LEPO-10a]B. Leporq, Ratiney, H., Cavassila, S., Pilleul, F., and Beuf, O., “Fat content quantification errors using multiple gradient echo imaging: A phantom and simulation study”, in ISMRM-ESMRMB Joint Annual Meeting, Stockholm, Sweden, 2010.
  29. [LEPO-10c]B. Leporq, Beuf, O., and Pilleul, F., “3D-liver MR perfusion imaging with the MS-325 blood pool agent to assess liver Fibrosis”, in European Congress of Radiology, Vienna, Austria, 2010, p. 533.
  30. [LEPO-09b]B. Leporq, Beuf, O., and Pilleul, F., “Liver perfusion MR imaging: A non invasive method to assess liver fibrosis”, in ESMRMB, Antalya,Turkey, 2009, p. 112.
  31. [LEPO-09a]B. Leporq, Pilleul, F., and Beuf, O., “3D liver perfusion MR-imaging with a blood pool agent: methodological aspect”, in ESMRMB, Antalya,Turkey, 2009, p. 521.

Thesis

  1. [LEPO-12e]B. Leporq, “Hépatopathies chroniques: Méthodes de quantification en IRM à 1,5 T et 3,0 T pour le diagnostic et le suivi”, Université Claude Bernard Lyon1, Lyon, France, 2012.
    Jury: Christophe Aube, Hospices Civils de Lyon (Rapp.), David Bendahan, CNRS, UMR 7339 (Rapp.), M. Bernard Van Beers, UP7-APHP (Exam.), Yves Gandon, Université de Rennes (Exam.), Jérome Dumortier, Hospices Civils de Lyon (Exam.), Hervé Saint-Jalmes, Université de Rennes (Prés.), M. Olivier Beuf, (Dir.), M. Frank Pilleul, (co-Dir.)