RAPACCHI Stanislas

stanislas.rapacchi@univ-amu.fr
Phone : +33491386262

Cardiovascular (CVS) imaging team.

Research Associate (PhD)

at CNRS

Research associate in charge of acquisition-reconstruction techniques for cardiovascular MRI, and MRI of organs in motion.

Research Associate (PhD)

Detailed Activities

I am a MRI physicists involved in sequence programming (Siemens MR IDEA), images processing and reconstruction (Matlab, C/C++, Objective-C), acquisition strategy and experimental set-up (clinical & large animals) and statistical analysis.

My current project at Aix-Marseille University involves the development, validation and application of novel MRI diagnostic techniques for cardiovascular imaging and probing the cardiometabolism across a wide range of magnetic field strength (low field 0.35 T to ultra-high field 7T).

My work includes the implementation, optimization and validation of metabolic imaging (fat-sensitive MRI and spectroscopy), simultaneous multi-slice (SMS) acquisition for cardiac applications (cine, relaxometry, perfusion), and sodium MRI for advanced clinical diagnosis.

Specific topics :
– MR sequence simulation and optimization. RF pulse design (Matlab/C)
– MR sequence programming (Siemens platform, C++)
– Evaluation in vivo and statistical analysis
– Implementation of advanced reconstruction techniques using Gadgetron framework.

Keywords

Image Processing
k-space Acquisition
Quantitative MRI
Sodium Homeostatis
Ultra-high field MRI
X-Nuclei

Cardiovascular MRI
Image reconstruction
MRI in motion
Fat metabolism imaging

General Information

Developping advanced MRI biomarker helps identify subtle insults on the cardiovascular system.
A collaboration on fast multi-planar MRI of the pelvic dynamic is underway. Tailored acquisitions and image processing are proposed to address the public health challenge of the female failing pelvic floor and prolapse.

Teaching

Advanced MRI techniques: faster MRI with parallel imaging and compressed sensing, motion compensated and motion-resolved MRI

Grant Supports

CNRS-MITI PhD grant (2019-2022)
FLI collaboration grants (2018-2022)
Carnot-STAR collaboratives grants (2018-2021)

Publications :

180164 RAPACCHI 1 harvard-cite-them-right-no-et-al 50 date desc year 1298 https://crmbm.univ-amu.fr/wp-content/plugins/zotpress/

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Baudouard, M., Guivier-Curien, C., Rapacchi, S., Jacquier, A. and Deplano, V. (2025) “Aortic displacement reconstruction to build a patient-specific computational model,” Multidisciplinary Biomechanics Journal, 49th congress of the Société de Biomécanique(Cardiovascular and respiratory biomechanics). Available at: https://doi.org/10.46298/mbj.14485.

Licht, C., Ilicak, E., Boada, F.E., Guye, M., Zöllner, F.G., Schad, L.R. and Rapacchi, S. (2025) “A noise-robust post-processing pipeline for accelerated phase-cycled 23Na Multi-Quantum Coherences MRI,” Zeitschrift Fur Medizinische Physik, pp. S0939-3889(24)00117-X. Available at: https://doi.org/10.1016/j.zemedi.2024.12.004.

Hoesl, M.A.U., Schad, L.R. and Rapacchi, S. (2024) “Erratum to ‘Volumetric 23Na single and triple-quantum imaging at 7T: 3D-CRISTINA’ [Z Med Phys 32 (2022) 199-208],” Zeitschrift Fur Medizinische Physik, pp. S0939-3889(24)00076-X. Available at: https://doi.org/10.1016/j.zemedi.2024.07.008.

Omouri, A., Rapacchi, S., Duclos, J., Niddam, R., Bellemare, M.-E. and Pirró, N. (2024) “3D Observation of Pelvic Organs with Dynamic MRI Segmentation: A Bridge Toward Patient-Specific Models,” International Urogynecology Journal, 35(7), pp. 1389–1397. Available at: https://doi.org/10.1007/s00192-024-05817-0.

Daudé, P., Troalen, T., Mackowiak, A.L.C., Royer, E., Piccini, D., Yerly, J., Pfeuffer, J., Kober, F., Gouny, S.C., Bernard, M., Stuber, M., Bastiaansen, J.A.M. and Rapacchi, S. (2024) “Trajectory correction enables free-running chemical shift encoded imaging for accurate cardiac proton-density fat fraction quantification at 3T,” Journal of Cardiovascular Magnetic Resonance: Official Journal of the Society for Cardiovascular Magnetic Resonance, p. 101048. Available at: https://doi.org/10.1016/j.jocmr.2024.101048.

Cadour, F., Cour, A., Senlis, J., Rapacchi, S., Chennoufi, H., Michelin, P., McQuade, C., Demeyere, M. and Dacher, J.-N. (2024) “How to use MRI in cardiac disease with diastolic dysfunction?,” The British Journal of Radiology, p. tqae071. Available at: https://doi.org/10.1093/bjr/tqae071.

Licht, C., Reichert, S., Bydder, M., Zapp, J., Corella, S., Guye, M., Zöllner, F.G., Schad, L.R. and Rapacchi, S. (2024) “Low-rank reconstruction for simultaneous double half-echo 23Na and undersampled 23Na multi-quantum coherences MRI,” Magnetic Resonance in Medicine, 92(4), pp. 1440–1455. Available at: https://doi.org/10.1002/mrm.30132.

Licht, C., Reichert, S., Guye, M., Schad, L.R. and Rapacchi, S. (2024) “Multidimensional compressed sensing to advance 23Na multi-quantum coherences MRI,” Magnetic Resonance in Medicine, 91(3), pp. 926–941. Available at: https://doi.org/10.1002/mrm.29902.

Brui, E.A., Badrieva, Z., de Mayenne, C.-A., Rapacchi, S., Troalen, T. and Bendahan, D. (2024) “Mitigating slice cross-talk in multi-slice multi-echo spin echo T2 mapping,” Magnetic Resonance in Medicine, 91(5), pp. 2089–2103. Available at: https://doi.org/10.1002/mrm.29987.

Božić-Iven, M., Rapacchi, S., Tao, Q., Pierce, I., Thornton, G., Nitsche, C., Treibel, T.A., Schad, L.R. and Weingärtner, S. (2024) “Improved reproducibility for myocardial ASL: Impact of physiological and acquisition parameters,” Magnetic Resonance in Medicine, 91(1), pp. 118–132. Available at: https://doi.org/10.1002/mrm.29834.

Cadour, F., Sourdon, J. and Rapacchi, S. (2024) “Editorial for ‘Biventricular Dysfunction and Ventricular Interdependence in Patients With Pulmonary Hypertension: A 3.0-T Cardiac MRI Feature Tracking Study,’” Journal of Magnetic Resonance Imaging, 60(1), pp. 363–364. Available at: https://doi.org/10.1002/jmri.29092.

Daudé, P., Roussel, T., Troalen, T., Viout, P., Hernando, D., Guye, M., Kober, F., Confort Gouny, S., Bernard, M. and Rapacchi, S. (2024) “Comparative review of algorithms and methods for chemical-shift-encoded quantitative fat-water imaging,” Magnetic Resonance in Medicine, 91(2), pp. 741–759. Available at: https://doi.org/10.1002/mrm.29860.

Ogier, A.C., Rapacchi, S. and Bellemare, M.-E. (2023) “Four-dimensional reconstruction and characterization of bladder deformations,” Computer Methods and Programs in Biomedicine, 237, p. 107569. Available at: https://doi.org/10.1016/j.cmpb.2023.107569.

Cadour, F., Quemeneur, M., Biere, L., Donal, E., Bentatou, Z., Eicher, J.-C., Roubille, F., Lalande, A., Giorgi, R., Rapacchi, S., Cortaredona, S., Tradi, F., Bartoli, A., Willoteaux, S., Delahaye, F., Biene, S.M., Mangin, L., Ferrier, N., Dacher, J.-N., Bauer, F., Leurent, G., Lentz, P.-A., Kovacsik, H., Croisille, P., Thuny, F., Bernard, M., Guye, M., Furber, A., Habib, G. and Jacquier, A. (2023) “Prognostic value of cardiovascular magnetic resonance T1 mapping and extracellular volume fraction in nonischemic dilated cardiomyopathy,” Journal of Cardiovascular Magnetic Resonance: Official Journal of the Society for Cardiovascular Magnetic Resonance, 25(1), p. 7. Available at: https://doi.org/10.1186/s12968-023-00919-y.

Garcia Hernandez, A., Fau, P., Wojak, J., Mailleux, H., Benkreira, M., Rapacchi, S. and Adel, M. (2023) “Synthetic computed tomography generation for abdominal adaptive radiotherapy using low-field magnetic resonance imaging,” Physics and Imaging in Radiation Oncology, 25, p. 100425. Available at: https://doi.org/10.1016/j.phro.2023.100425.

Marage, L., Walker, P.-M., Boudet, J., Fau, P., Debuire, P., Clausse, E., Petitfils, A., Aubignac, L., Rapacchi, S. and Bessieres, I. (2022) “Characterisation of a split gradient coil design induced systemic imaging artefact on 0.35 T MR-linac systems,” Physics in Medicine & Biology, 68(1), p. 01NT03. Available at: https://doi.org/10.1088/1361-6560/aca876.

Silva-Verissimo, W., El Louali, F., Godio-Raboutet, Y., Leblond, L., Sourdon, J., Rapacchi, S. and Evin, M. (2022) “Traction mechanical characterization of porcine mitral valve annulus,” Journal of Biomechanics, 146, p. 111396. Available at: https://doi.org/10.1016/j.jbiomech.2022.111396.

Cadour, F., Cautela, J., Rapacchi, S., Varoquaux, A., Habert, P., Arnaud, F., Jacquier, A., Meilhac, A., Paganelli, F., Lalevée, N., Scemama, U. and Thuny, F. (2022) “Cardiac MRI Features and Prognostic Value in Immune Checkpoint Inhibitor–induced Myocarditis,” Radiology, 303(3), pp. 512–521. Available at: https://doi.org/10.1148/radiol.211765.

Hoesl, M.A.U., Schad, L.R. and Rapacchi, S. (2022) “Volumetric 23Na Single and Triple-Quantum Imaging at 7T: 3D-CRISTINA,” Zeitschrift für Medizinische Physik, 32(2), pp. 199–208. Available at: https://doi.org/10.1016/j.zemedi.2021.09.001.

Vergara Gomez, T.S., Dubois, M., Rustomji, K., Georget, E., Antonakakis, T., Vignaud, A., Rapacchi, S., Girard, O.M., Kober, F., Enoch, S. and Abdeddaim, R. (2022) “Hilbert fractal inspired dipoles for passive RF shimming in ultra-high field MRI,” Photonics and Nanostructures - Fundamentals and Applications, 48, p. 100988. Available at: https://doi.org/10.1016/j.photonics.2021.100988.

Jourdan, A., Rapacchi, S., Guye, M., Bendahan, D., Masson, C. and Bège, T. (2022) “Dynamic-MRI quantification of abdominal wall motion and deformation during breathing and muscular contraction,” Computer Methods and Programs in Biomedicine, 217, p. 106667. Available at: https://doi.org/10.1016/j.cmpb.2022.106667.

Daudé, P., Ancel, P., Confort Gouny, S., Jacquier, A., Kober, F., Dutour, A., Bernard, M., Gaborit, B. and Rapacchi, S. (2022) “Deep-Learning Segmentation of Epicardial Adipose Tissue Using Four-Chamber Cardiac Magnetic Resonance Imaging,” Diagnostics (Basel, Switzerland), 12(1), p. 126. Available at: https://doi.org/10.3390/diagnostics12010126.

Rapacchi, S., Viallon, M. and Croisille, P. (2022) “Editorial for ‘Impact of Temporal Resolution and Methods for Correction on Cardiovascular Magnetic Resonance Perfusion Quantification,’” Journal of Magnetic Resonance Imaging, 56(6), pp. 1720–1721. Available at: https://doi.org/10.1002/jmri.28402.

Brui, E.A., Rapacchi, S., Bendahan, D. and Andreychenko, A.E. (2021) “Comparative analysis of SINC-shaped and SLR pulses performance for contiguous multi-slice fast spin-echo imaging using metamaterial-based MRI,” Magnetic Resonance Materials in Physics, Biology and Medicine, 34(6), pp. 929–938. Available at: https://doi.org/10.1007/s10334-021-00937-w.

Sourdon, J., Roussel, T., Costes, C., Viout, P., Guye, M., Ranjeva, J.-P., Bernard, M., Kober, F. and Rapacchi, S. (2021) “Comparison of single-voxel 1H-cardiovascular magnetic resonance spectroscopy techniques for in vivo measurement of myocardial creatine and triglycerides at 3T,” Journal of Cardiovascular Magnetic Resonance: Official Journal of the Society for Cardiovascular Magnetic Resonance, 23(1), p. 53. Available at: https://doi.org/10.1186/s12968-021-00748-x.

Gaborit, B., Ancel, P., Abdullah, A.E., Maurice, F., Abdesselam, I., Calen, A., Soghomonian, A., Houssays, M., Varlet, I., Eisinger, M., Lasbleiz, A., Peiretti, F., Bornet, C.E., Lefur, Y., Pini, L., Rapacchi, S., Bernard, M., Resseguier, N., Darmon, P., Kober, F. and Dutour, A. (2021) “Effect of empagliflozin on ectopic fat stores and myocardial energetics in type 2 diabetes: the EMPACEF study,” Cardiovascular Diabetology, 20(1), p. 57. Available at: https://doi.org/10.1186/s12933-021-01237-2.

Foussier, C., Barral, P.A., Jerosh-Herold, M., Gariboldi, V., Rapacchi, S., Gallon, A., Bartoli, A., Bentatou, Z., Guye, M., Bernard, M. and Jacquier, A. (2021) “Quantification of diffuse myocardial fibrosis using CMR extracellular volume fraction and serum biomarkers of collagen turnover with histologic quantification as standard of reference,” Diagnostic and Interventional Imaging, 102(3), pp. 163–169. Available at: https://doi.org/10.1016/j.diii.2020.07.005.

Jourdan, A., Le Troter, A., Daude, P., Rapacchi, S., Masson, C., Bège, T. and Bendahan, D. (2021) “Semiautomatic quantification of abdominal wall muscles deformations based on dynamic MRI image registration,” NMR in Biomedicine, 34(4), p. e4470. Available at: https://doi.org/10.1002/nbm.4470.

Rapacchi, S. and Gaborit, B. (2021) “Editorial for ‘Association of Type 2 Diabetes Mellitus and Glycemic Control With Intracranial Plaque Characteristics in Patients With Acute Ischemic Stroke,’” Journal of Magnetic Resonance Imaging, 54(2), pp. 667–668. Available at: https://doi.org/10.1002/jmri.27739.

Hoesl, M.A.U., Schad, L.R. and Rapacchi, S. (2020) “Efficient 23 Na triple-quantum signal imaging on clinical scanners: Cartesian imaging of single and triple-quantum 23 Na (CRISTINA),” Magnetic Resonance in Medicine, 84(5), pp. 2412–2428. Available at: https://doi.org/10.1002/mrm.28284.

Lévy, S., Rapacchi, S., Massire, A., Troalen, T., Feiweier, T., Guye, M. and Callot, V. (2020) “Intravoxel Incoherent Motion at 7 Tesla to quantify human spinal cord perfusion: limitations and promises,” Magnetic Resonance in Medicine, 84(3), pp. 1198–1217. Available at: https://doi.org/10.1002/mrm.28195.

Habert, P., Capron, T., Hubert, S., Bentatou, Z., Bartoli, A., Tradi, F., Renard, S., Rapacchi, S., Guye, M., Bernard, M., Habib, G. and Jacquier, A. (2020) “Quantification of right ventricular extracellular volume in pulmonary hypertension using cardiac magnetic resonance imaging,” Diagnostic and Interventional Imaging, 101(5), pp. 311–320. Available at: https://doi.org/10.1016/j.diii.2019.12.008.

Bentatou, Z., Troalen, T., Bernard, M., Guye, M., Pini, L., Bartoli, A., Jacquier, A., Kober, F. and Rapacchi, S. (2020) “Simultaneous multi-slice T1 mapping using MOLLI with blipped CAIPIRINHA bSSFP,” Magnetic Resonance Imaging, pp. S0730-725X(19)30796–9. Available at: https://doi.org/10.1016/j.mri.2020.03.006.

Rapacchi, S., Troalen, T., Bentatou, Z., Quemeneur, M., Guye, M., Bernard, M., Jacquier, A. and Kober, F. (2019) “Simultaneous multi-slice cardiac cine with Fourier-encoded self-calibration at 7 Tesla,” Magnetic Resonance in Medicine, 81(4), pp. 2576–2587. Available at: https://doi.org/10.1002/mrm.27593.

Wei, W., Evin, M., Rapacchi, S., Kober, F., Bernard, M., Jacquier, A., Kahn, C.J.F. and Behr, M. (2019) “Investigating heartbeat-related in-plane motion and stress levels induced at the aortic root,” Biomedical Engineering Online, 18(1), p. 19. Available at: https://doi.org/10.1186/s12938-019-0632-7.

Trotier, A.J., Rapacchi, S., Faller, T.L., Miraux, S. and Ribot, E.J. (2019) “Compressed-Sensing MP2RAGE sequence: Application to the detection of brain metastases in mice at 7T,” Magnetic Resonance in Medicine, 81(1), pp. 551–559. Available at: https://doi.org/10.1002/mrm.27438.

Donadieu, M., Le Fur, Y., Maarouf, A., Gherib, S., Ridley, B., Pini, L., Rapacchi, S., Confort-Gouny, S., Guye, M., Schad, L.R., Maudsley, A.A., Pelletier, J., Audoin, B., Zaaraoui, W. and Ranjeva, J.-P. (2019) “Metabolic counterparts of sodium accumulation in multiple sclerosis: A whole brain 23Na-MRI and fast 1H-MRSI study,” Multiple Sclerosis (Houndmills, Basingstoke, England), 25(1), pp. 39–47. Available at: https://doi.org/10.1177/1352458517736146.

Bentatou, Z., Finas, M., Habert, P., Kober, F., Guye, M., Bricq, S., Lalande, A., Frandon, J., Dacher, J.N., Dubourg, B., Habib, G., Caudron, J., Normant, S., Rapacchi, S., Bernard, M. and Jacquier, A. (2018) “Distribution of left ventricular trabeculation across age and gender in 140 healthy Caucasian subjects on MR imaging,” Diagnostic and Interventional Imaging, 99(11), pp. 689–698. Available at: https://doi.org/10.1016/j.diii.2018.08.014.

Mchinda, S., Varma, G., Prevost, V.H., Le Troter, A., Rapacchi, S., Guye, M., Pelletier, J., Ranjeva, J.-P., Alsop, D.C., Duhamel, G. and Girard, O.M. (2018) “Whole brain inhomogeneous magnetization transfer (ihMT) imaging: Sensitivity enhancement within a steady-state gradient echo sequence,” Magnetic Resonance in Medicine, 79(5), pp. 2607–2619. Available at: https://doi.org/10.1002/mrm.26907.

Zhou, Z., Han, F., Yu, S., Yu, D., Rapacchi, S., Song, H.K., Wang, D.J.J., Hu, P. and Yan, L. (2018) “Accelerated noncontrast-enhanced 4-dimensional intracranial MR angiography using golden-angle stack-of-stars trajectory and compressed sensing with magnitude subtraction,” Magnetic Resonance in Medicine, 79(2), pp. 867–878. Available at: https://doi.org/10.1002/mrm.26747.

Habert, P., Bentatou, Z., Aldebert, P., Finas, M., Bartoli, A., Bal, L., Lalande, A., Rapacchi, S., Guye, M., Kober, F., Bernard, M. and Jacquier, A. (2018) “Exercise stress CMR reveals reduced aortic distensibility and impaired right-ventricular adaptation to exercise in patients with repaired tetralogy of Fallot,” PloS One, 13(12), p. e0208749. Available at: https://doi.org/10.1371/journal.pone.0208749.

Bydder, M., Rapacchi, S., Girard, O., Guye, M. and Ranjeva, J.-P. (2017) “Trimmed autocalibrating k-space estimation based on structured matrix completion,” Magnetic Resonance Imaging, 43, pp. 88–94. Available at: https://doi.org/10.1016/j.mri.2017.07.015.

Han, F., Rapacchi, S. and Hu, P. (2017) “Prospective cardiac motion self-gating,” Quantitative Imaging in Medicine and Surgery, 7(2), pp. 215–226. Available at: https://doi.org/10.21037/qims.2017.03.02.

Zhou, Z., Han, F., Rapacchi, S., Nguyen, K.-L., Brunengraber, D.Z., Kim, G.-H.J., Finn, J.P. and Hu, P. (2017) “Accelerated ferumoxytol-enhanced 4D multiphase, steady-state imaging with contrast enhancement (MUSIC) cardiovascular MRI: validation in pediatric congenital heart disease,” NMR in biomedicine, 30(1). Available at: https://doi.org/10.1002/nbm.3663.

Shao, J., Rapacchi, S., Nguyen, K.-L. and Hu, P. (2016) “Myocardial T1 mapping at 3.0 tesla using an inversion recovery spoiled gradient echo readout and bloch equation simulation with slice profile correction (BLESSPC) T1 estimation algorithm,” Journal of magnetic resonance imaging: JMRI, 43(2), pp. 414–425. Available at: https://doi.org/10.1002/jmri.24999.

Rashid, S., Rapacchi, S., Shivkumar, K., Plotnik, A., Finn, J.P. and Hu, P. (2016) “Modified wideband three-dimensional late gadolinium enhancement MRI for patients with implantable cardiac devices,” Magnetic Resonance in Medicine, 75(2), pp. 572–584. Available at: https://doi.org/10.1002/mrm.25601.

Skelton, R.J.P., Khoja, S., Almeida, S., Rapacchi, S., Han, F., Engel, J., Zhao, P., Hu, P., Stanley, E.G., Elefanty, A.G., Kwon, M., Elliott, D.A. and Ardehali, R. (2016) “Magnetic Resonance Imaging of Iron Oxide-Labeled Human Embryonic Stem Cell-Derived Cardiac Progenitors,” Stem Cells Translational Medicine, 5(1), pp. 67–74. Available at: https://doi.org/10.5966/sctm.2015-0077.

Rapacchi, S., Smith, R.X., Wang, Y., Yan, L., Sigalov, V., Krasileva, K.E., Karpouzas, G., Plotnik, A., Sayre, J., Hernandez, E., Verma, A., Burkly, L., Wisniacki, N., Torrington, J., He, X., Hu, P., Chiao, P.-C. and Wang, D.J.J. (2015) “Towards the identification of multi-parametric quantitative MRI biomarkers in lupus nephritis,” Magnetic Resonance Imaging, 33(9), pp. 1066–1074. Available at: https://doi.org/10.1016/j.mri.2015.06.019.

Han, F., Rapacchi, S., Khan, S., Ayad, I., Salusky, I., Gabriel, S., Plotnik, A., Finn, J.P. and Hu, P. (2015) “Four-dimensional, multiphase, steady-state imaging with contrast enhancement (MUSIC) in the heart: a feasibility study in children,” Magnetic Resonance in Medicine, 74(4), pp. 1042–1049. Available at: https://doi.org/10.1002/mrm.25491.

Han, F., Zhou, Z., Rapacchi, S., Nguyen, K.-L., Finn, J.P. and Hu, P. (2015) “Segmented golden ratio radial reordering with variable temporal resolution for dynamic cardiac MRI,” Magnetic Resonance in Medicine [Preprint]. Available at: https://doi.org/10.1002/mrm.25861.

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