DE ROCHEFORT Ludovic

DE ROCHEFORT Ludovic

Research Associate (PhD)

at CNRS

Conducting research in MRI physics, methods and biomedical applications.

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Research Associate (PhD)

Keywords

  • Applied Mathematics
  • Artificial Intelligence
  • Image Processing
  • k-space Acquisition
  • New Contrasts
  • New MR Biomarkers
  • Quantitative Brain Multimodal imaging
  • Quantitative MRI
  • Ultra-high field MRI

Research Projects

Patents

Publications :

180164 DE ROCHEFORT 1 harvard-cite-them-right-no-et-al 50 date desc year 2571 https://crmbm.univ-amu.fr/wp-content/plugins/zotpress/
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Nimje, S., Artières, T., Guye, M. and de Rochefort, L. (2025) “Insights on Scan-Specific Deep-Learning Strategies for Brain MRI Parallel Imaging Reconstruction,” NMR in biomedicine, 38(8), p. e70079. Available at: https://doi.org/10.1002/nbm.70079.
Pham, S.D.T., Chatziantoniou, C., van Vliet, J.T., van Tuijl, R.J., Bulk, M., Costagli, M., de Rochefort, L., Kraff, O., Ladd, M.E., Pine, K., Ronen, I., Siero, J.C.W., Tosetti, M., Villringer, A., Biessels, G.J. and Zwanenburg, J.J.M. (2025) “Blood Flow Velocity Analysis in Cerebral Perforating Arteries on 7T 2D Phase Contrast MRI with an Open-Source Software Tool (SELMA),” Neuroinformatics, 23(2), p. 11. Available at: https://doi.org/10.1007/s12021-024-09703-4.
Grimaldi, S., Le Troter, A., El Mendili, M.M., Dary, H., Azulay, J.-P., Zaaraoui, W., Ranjeva, J.-P., Eusebio, A., de Rochefort, L. and Guye, M. (2024) “Energetic dysfunction and iron overload in early Parkinson’s disease: Two distinct mechanisms?,” Parkinsonism & Related Disorders, 124, p. 106996. Available at: https://doi.org/10.1016/j.parkreldis.2024.106996.
Brun, G., Testud, B., Girard, O.M., Lehmann, P., de Rochefort, L., Besson, P., Massire, A., Ridley, B., Girard, N., Guye, M., Ranjeva, J.-P. and Le Troter, A. (2022) “Automatic segmentation of deep grey nuclei using a high-resolution 7T magnetic resonance imaging atlas—Quantification of T1 values in healthy volunteers,” European Journal of Neuroscience, 55(2), pp. 438–460. Available at: https://doi.org/10.1111/ejn.15575.
Tardieu, M., Salameh, N., Souris, L., Rousseau, D., Jourdain, L., Skeif, H., Prévot, F., de Rochefort, L., Ducreux, D., Louis, B., Garteiser, P., Sinkus, R., Darrasse, L., Poirier-Quinot, M. and Maître, X. (2022) “Magnetic resonance elastography with guided pressure waves,” NMR in Biomedicine, 35(7), p. e4701. Available at: https://doi.org/10.1002/nbm.4701.
Leroi, L., Gras, V., Boulant, N., Ripart, M., Poirion, E., Santin, M.D., Valabregue, R., Mauconduit, F., Hertz-Pannier, L., Le Bihan, D., de Rochefort, L. and Vignaud, A. (2020) “Simultaneous proton density, T1 , T2 , and flip-angle mapping of the brain at 7 T using multiparametric 3D SSFP imaging and parallel-transmission universal pulses,” Magnetic Resonance in Medicine, 84(6), pp. 3286–3299. Available at: https://doi.org/10.1002/mrm.28391.
Chanet, N., Guillot, G., Willoquet, G., Jourdain, L., Dubuisson, R.-M., Reganha, G. and de Rochefort, L. (2020) “Design of a fast field-cycling magnetic resonance imaging system, characterization and methods for relaxation dispersion measurements around 1.5 T,” The Review of Scientific Instruments, 91(2), p. 024102. Available at: https://doi.org/10.1063/1.5128851.
Kohlhauer, M., Boissady, E., Lidouren, F., de Rochefort, L., Nadeau, M., Rambaud, J., Hutin, A., Dubuisson, R.-M., Guillot, G., Pey, P., Bruneval, P., Fortin-Pellerin, E., Sage, M., Walti, H., Cariou, A., Ricard, J.-D., Berdeaux, A., Mongardon, N., Ghaleh, B., Micheau, P. and Tissier, R. (2020) “A new paradigm for lung-conservative total liquid ventilation,” EBioMedicine, 52, p. 102365. Available at: https://doi.org/10.1016/j.ebiom.2019.08.026.
Düzel, E., Acosta-Cabronero, J., Berron, D., Biessels, G.J., Björkman-Burtscher, I., Bottlaender, M., Bowtell, R., Buchem, M.V., Cardenas-Blanco, A., Boumezbeur, F., Chan, D., Clare, S., Costagli, M., de Rochefort, L., Fillmer, A., Gowland, P., Hansson, O., Hendrikse, J., Kraff, O., Ladd, M.E., Ronen, I., Petersen, E., Rowe, J.B., Siebner, H., Stoecker, T., Straub, S., Tosetti, M., Uludag, K., Vignaud, A., Zwanenburg, J. and Speck, O. (2019) “European Ultrahigh-Field Imaging Network for Neurodegenerative Diseases (EUFIND),” Alzheimer’s & Dementia (Amsterdam, Netherlands), 11, pp. 538–549. Available at: https://doi.org/10.1016/j.dadm.2019.04.010.
Spincemaille, P., Liu, Z., Zhang, S., Kovanlikaya, I., Ippoliti, M., Makowski, M., Watts, R., de Rochefort, L., Venkatraman, V., Desmond, P., Santin, M.D., Lehéricy, S., Kopell, B.H., Péran, P. and Wang, Y. (2019) “Clinical Integration of Automated Processing for Brain Quantitative Susceptibility Mapping: Multi-Site Reproducibility and Single-Site Robustness,” Journal of Neuroimaging: Official Journal of the American Society of Neuroimaging, 29(6), pp. 689–698. Available at: https://doi.org/10.1111/jon.12658.
Bödenler, M., de Rochefort, L., Ross, P.J., Chanet, N., Guillot, G., Davies, G.R., Gösweiner, C., Scharfetter, H., Lurie, D.J. and Broche, L.M. (2019) “Comparison of fast field-cycling magnetic resonance imaging methods and future perspectives,” Molecular Physics, 117(7–8), pp. 832–848. Available at: https://doi.org/10.1080/00268976.2018.1557349.
Bandt, S.K., de Rochefort, L., Chen, W., Dimov, A.V., Spincemaille, P., Kopell, B.H., Gupta, A. and Wang, Y. (2019) “Clinical Integration of Quantitative Susceptibility Mapping Magnetic Resonance Imaging into Neurosurgical Practice,” World Neurosurgery, 122, pp. e10–e19. Available at: https://doi.org/10.1016/j.wneu.2018.08.213.
Bydder, M., Hamilton, G., de Rochefort, L., Desai, A., Heba, E.R., Loomba, R., Schwimmer, J.B., Szeverenyi, N.M. and Sirlin, C.B. (2018) “Sources of systematic error in proton density fat fraction (PDFF) quantification in the liver evaluated from magnitude images with different numbers of echoes,” NMR in biomedicine, 31(1). Available at: https://doi.org/10.1002/nbm.3843.
Wang, H., Sebrié, C., Judé, S., Maurin, A., Rétif, S., Le Mée, M., Julea, F., Dubuisson, R.-M., Willoquet, G., Bouazizi, K., Darrasse, L., Guillot, G., Maître, X. and de Rochefort, L. (2018) “Quantitative Gd-DOTA-based aerosol deposition mapping in the lungs of asthmatic rats using 3D UTE-MRI,” NMR in biomedicine, 31(12), p. e4013. Available at: https://doi.org/10.1002/nbm.4013.
Leroi, L., Coste, A., de Rochefort, L., Santin, M.D., Valabregue, R., Mauconduit, F., Giacomini, E., Luong, M., Chazel, E., Valette, J., Le Bihan, D., Poupon, C., Boumezbeur, F., Rabrait-Lerman, C. and Vignaud, A. (2018) “Simultaneous multi-parametric mapping of total sodium concentration, T1, T2 and ADC at 7 T using a multi-contrast unbalanced SSFP,” Magnetic Resonance Imaging, 53, pp. 156–163. Available at: https://doi.org/10.1016/j.mri.2018.07.012.
Kee, Y., Liu, Z., Zhou, L., Dimov, A., Cho, J., de Rochefort, L., Seo, J.K. and Wang, Y. (2017) “Quantitative Susceptibility Mapping (QSM) Algorithms: Mathematical Rationale and Computational Implementations,” IEEE transactions on bio-medical engineering, 64(11), pp. 2531–2545. Available at: https://doi.org/10.1109/TBME.2017.2749298.
Schweser, F., Robinson, S.D., de Rochefort, L., Li, W. and Bredies, K. (2017) “An illustrated comparison of processing methods for phase MRI and QSM: removal of background field contributions from sources outside the region of interest,” NMR in biomedicine, 30(4). Available at: https://doi.org/10.1002/nbm.3604.
Kaaouana, T., Bertrand, A., Ouamer, F., Law-Ye, B., Pyatigorskaya, N., Bouyahia, A., Thiery, N., Dufouil, C., Delmaire, C., Dormont, D., de Rochefort, L. and Chupin, M. (2017) “Improved cerebral microbleeds detection using their magnetic signature on T2*-phase-contrast: A comparison study in a clinical setting,” NeuroImage. Clinical, 15, pp. 274–283. Available at: https://doi.org/10.1016/j.nicl.2016.08.005.
Leguerney, I., de Rochefort, L., Poirier-Quinot, M., Ingels, A., Violas, X., Robin, S., Opolon, P., Dubuisson, R.-M., Pitre-Champagnat, S., Robert, P. and Lassau, N. (2017) “Molecular Imaging to Predict Response to Targeted Therapies in Renal Cell Carcinoma,” Contrast Media & Molecular Imaging, 2017, p. 7498538. Available at: https://doi.org/10.1155/2017/7498538.
Wang, H., Sebrié, C., Ruaud, J.-P., Guillot, G., Bouazizi-Verdier, K., Willoquet, G., Maître, X., Darrasse, L. and de Rochefort, L. (2016) “Aerosol deposition in the lungs of spontaneously breathing rats using Gd-DOTA-based contrast agents and ultra-short echo time MRI at 1.5 Tesla,” Magnetic Resonance in Medicine, 75(2), pp. 594–605. Available at: https://doi.org/10.1002/mrm.25617.
André Dias, S., Berdeaux, A., Darrasse, L., Demanesse, M., de Rochefort, L., Filoche, M., Ghaleh, B., Hutin, A., Isabey, D., Kunc, T., Lidouren, F., Lotteau, L., Louis, B. and Tissier, R. (2015) “ABYSS: Therapeutic hypothermia by total liquid ventilation following cardiac arrest and resuscitation,” ANR TECSAN 2015, 36(2), pp. 110–117. Available at: https://doi.org/10.1016/j.irbm.2015.01.011.
Kaaouana, T., de Rochefort, L., Samaille, T., Thiery, N., Dufouil, C., Delmaire, C., Dormont, D. and Chupin, M. (2015) “2D harmonic filtering of MR phase images in multicenter clinical setting: toward a magnetic signature of cerebral microbleeds,” NeuroImage, 104, pp. 287–300. Available at: https://doi.org/10.1016/j.neuroimage.2014.08.024.
Abi-Abdallah Rodriguez, D., Durand, E., de Rochefort, L., Boudjemline, Y. and Mousseaux, E. (2015) “Simultaneous pressure-volume measurements using optical sensors and MRI for left ventricle function assessment during animal experiment,” Medical Engineering & Physics, 37(1), pp. 100–108. Available at: https://doi.org/10.1016/j.medengphy.2014.11.004.
Khalifé, M., Decoene, A., Caetano, F., de Rochefort, L., Durand, E. and Rodríguez, D. (2014) “Estimating absolute aortic pressure using MRI and a one-dimensional model,” Journal of Biomechanics, 47(13), pp. 3390–3399. Available at: https://doi.org/10.1016/j.jbiomech.2014.07.018.
Martin, L., Maître, X., de Rochefort, L., Sarracanie, M., Friese, M., Hagot, P. and Durand, E. (2014) “Phase-contrast velocity mapping for highly diffusive fluids: optimal bipolar gradient pulse parameters for hyperpolarized helium-3,” Magnetic Resonance in Medicine, 72(4), pp. 1072–1078. Available at: https://doi.org/10.1002/mrm.25005.
Chenoune, M., De Rochefort, L., Bruneval, P., Lidouren, F., Kohlhauer, M., Seemann, A., Ghaleh, B., Korn, M., Dubuisson, R.-M., Ben Yahmed, A., Maître, X., Isabey, D., Ricard, J.-D., Kerber, R.E., Darrasse, L., Berdeaux, A. and Tissier, R. (2014) “Evaluation of lung recovery after static administration of three different perfluorocarbons in pigs,” BMC pharmacology & toxicology, 15, p. 53. Available at: https://doi.org/10.1186/2050-6511-15-53.
Girard, O.M., de Rochefort, L., Poirier-Quinot, M., Darrasse, L. and Mattrey, R.F. (2013) “Quantification strategies for MRI,” Molecular Imaging Techniques: New Frontiers, pp. 66–80. Available at: https://doi.org/10.4155/ebo.13.146.
Poirier-Quinot, M., de Rochefort, L., Girard, O.M. and Darrasse, L. (2013) “MRI: recent advances and new horizons,” Molecular Imaging Techniques: New Frontiers, pp. 34–49. Available at: https://doi.org/10.4155/ebo.13.217.
Liu, J., Liu, T., de Rochefort, L., Ledoux, J., Khalidov, I., Chen, W., Tsiouris, A.J., Wisnieff, C., Spincemaille, P., Prince, M.R. and Wang, Y. (2012) “Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map,” NeuroImage, 59(3), pp. 2560–2568. Available at: https://doi.org/10.1016/j.neuroimage.2011.08.082.
Khalife, M., Rodriguez, D., de Rochefort, L. and Durand, E. (2012) “In vitro validation of non-invasive aortic compliance measurements using MRI,” Computer Methods in Biomechanics and Biomedical Engineering, 15 Suppl 1, pp. 83–84. Available at: https://doi.org/10.1080/10255842.2012.713638.
Liu, T., Khalidov, I., de Rochefort, L., Spincemaille, P., Liu, J., Tsiouris, A.J. and Wang, Y. (2011) “A novel background field removal method for MRI using projection onto dipole fields (PDF),” NMR in biomedicine, 24(9), pp. 1129–1136. Available at: https://doi.org/10.1002/nbm.1670.
Liu, T., Liu, J., de Rochefort, L., Spincemaille, P., Khalidov, I., Ledoux, J.R. and Wang, Y. (2011) “Morphology enabled dipole inversion (MEDI) from a single-angle acquisition: comparison with COSMOS in human brain imaging,” Magnetic Resonance in Medicine, 66(3), pp. 777–783. Available at: https://doi.org/10.1002/mrm.22816.
Liu, T., Spincemaille, P., de Rochefort, L., Wong, R., Prince, M. and Wang, Y. (2010) “Unambiguous identification of superparamagnetic iron oxide particles through quantitative susceptibility mapping of the nonlinear response to magnetic fields,” Magnetic Resonance Imaging, 28(9), pp. 1383–1389. Available at: https://doi.org/10.1016/j.mri.2010.06.011.
Kressler, B., de Rochefort, L., Liu, T., Spincemaille, P., Jiang, Q. and Wang, Y. (2010) “Nonlinear regularization for per voxel estimation of magnetic susceptibility distributions from MRI field maps,” IEEE transactions on medical imaging, 29(2), pp. 273–281. Available at: https://doi.org/10.1109/TMI.2009.2023787.
de Rochefort, L., Liu, T., Kressler, B., Liu, J., Spincemaille, P., Lebon, V., Wu, J. and Wang, Y. (2010) “Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: validation and application to brain imaging,” Magnetic Resonance in Medicine, 63(1), pp. 194–206. Available at: https://doi.org/10.1002/mrm.22187.
Liu, T., Spincemaille, P., de Rochefort, L., Kressler, B. and Wang, Y. (2009) “Calculation of susceptibility through multiple orientation sampling (COSMOS): a method for conditioning the inverse problem from measured magnetic field map to susceptibility source image in MRI,” Magnetic Resonance in Medicine, 61(1), pp. 196–204. Available at: https://doi.org/10.1002/mrm.21828.
Wang, Y., de Rochefort, L., Liu, T. and Kressler, B. (2009) “Magnetic source MRI: a new quantitative imaging of magnetic biomarkers,” Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2009, pp. 53–56. Available at: https://doi.org/10.1109/IEMBS.2009.5335128.
de Rochefort, L., Nguyen, T., Brown, R., Spincemaille, P., Choi, G., Weinsaft, J., Prince, M.R. and Wang, Y. (2008) “In vivo quantification of contrast agent concentration using the induced magnetic field for time-resolved arterial input function measurement with MRI,” Medical Physics, 35(12), pp. 5328–5339. Available at: https://doi.org/10.1118/1.3002309.
Nguyen, T.D., de Rochefort, L., Spincemaille, P., Cham, M.D., Weinsaft, J.W., Prince, M.R. and Wang, Y. (2008) “Effective motion-sensitizing magnetization preparation for black blood magnetic resonance imaging of the heart,” Journal of magnetic resonance imaging: JMRI, 28(5), pp. 1092–1100. Available at: https://doi.org/10.1002/jmri.21568.
de Rochefort, L., Brown, R., Prince, M.R. and Wang, Y. (2008) “Quantitative MR susceptibility mapping using piece-wise constant regularized inversion of the magnetic field,” Magnetic Resonance in Medicine, 60(4), pp. 1003–1009. Available at: https://doi.org/10.1002/mrm.21710.
de Rochefort, L., Vial, L., Fodil, R., Maître, X., Louis, B., Isabey, D., Caillibotte, G., Thiriet, M., Bittoun, J., Durand, E. and Sbirlea-Apiou, G. (2007) “In vitro validation of computational fluid dynamic simulation in human proximal airways with hyperpolarized 3He magnetic resonance phase-contrast velocimetry,” Journal of Applied Physiology (Bethesda, Md.: 1985), 102(5), pp. 2012–2023. Available at: https://doi.org/10.1152/japplphysiol.01610.2005.
de Rochefort, L., Maître, X., Fodil, R., Vial, L., Louis, B., Isabey, D., Croce, C., Darrasse, L., Apiou, G., Caillibotte, G., Bittoun, J. and Durand, E. (2006) “Phase-contrast velocimetry with hyperpolarized 3He for in vitro and in vivo characterization of airflow,” Magnetic Resonance in Medicine, 55(6), pp. 1318–1325. Available at: https://doi.org/10.1002/mrm.20899.
de Rochefort, L., Maître, X., Bittoun, J. and Durand, E. (2006) “Velocity-selective RF pulses in MRI,” Magnetic Resonance in Medicine, 55(1), pp. 171–176. Available at: https://doi.org/10.1002/mrm.20751.
Vignaud, A., Maître, X., Guillot, G., Durand, E., de Rochefort, L., Robert, P., Vivès, V., Santus, R. and Darrasse, L. (2005) “Magnetic susceptibility matching at the air-tissue interface in rat lung by using a superparamagnetic intravascular contrast agent: influence on transverse relaxation time of hyperpolarized helium-3,” Magnetic Resonance in Medicine, 54(1), pp. 28–33. Available at: https://doi.org/10.1002/mrm.20576.
Fodil, R., Croce, C., Louis, B., Coste, A., Blondeau, J.R., Isabey, D., Perchet, D., Fetita, C., Preteux, F., Grenier, P., Vial, L., Caillibotte, G., Till, M., Maday, Y., Thiriet, M., de Rochefort, L., Maître, X., Bittoun, J., Durand, E. and Sbirlea-Apiou, G. (2005) “Simulateur morphofonctionnel des voies aériennes supérieures et proximales,” ITBM-RBM, 26(1), pp. 72–77. Available at: https://doi.org/10.1016/j.rbmret.2004.11.006.