
Mission statement
The MSK group is conducting research related to Muscle energetics, Quantitative muscle MRI and Quantitative MSK MRI. A transversal project is devoted to muscle segmentation.
Regarding Muscle energetics, experiments are conducted in both humans and animal models. The corresponding topics are related to standardisation of results and protocols, metabolic effects of training, impact of muscle pathologies, metabolic control, muscle fatigue and functional effects of electrostimulation.
Quantitative investigation of muscle using MRI is mainly performed in collaboration with the Neurology Department of Prof. Attarian (Timone Hospital). The aim is to assess the validity of outcome measures for the follow-up of natural history of rare disorders affecting muscle and also to assess the efficiency of therapeutic strategy.
The MSK program is devoted to the quantitative and functional analysis of cartilage in both rheumatoid and osteo-arthritis using quantitative MRI approaches. Another topic is dedicated to microstructural analysis of bone at ultra high-field.
The transversal project related to segmentation mainly addresses the issue of an optimal supervised segmentation of individual muscles using a variety of approaches i.e. multi-atlas- based, registration-based, artificial intelligence-based…
Through national and international collaborations, we develop a multidiscplinary approach of muscle and joint function using different non invasive techniques and investigating a variety of physiological and pathophysiological conditions.
The muscle Group at CRMBM is a multidisciplinary team composed of biochemists, physiologists, physicists and clinicians.
Research Topics
Publications
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rease.%20Contraction%20also%20led%20to%20inward%20radial%20displacement%20of%20the%20LM%20up%20to%209.9%5Cu00a0%5Cu00b1%5Cu00a04.1%5Cu00a0mm%20during%20coughing.%20During%20maximal%20inhalation%2C%20a%20significant%2010.0%5Cu00a0%5Cu00b1%5Cu00a06.6%25%20lengthening%20was%20quantified%20for%20LM%20while%20a%20significant%20thickness%20decrease%20was%20computed%20for%20the%20whole%20set%20of%20muscles%20%28-14.7%5Cu00a0%5Cu00b1%5Cu00a06.6%25%20for%20LM%20and%20-7.3%5Cu00a0%5Cu00b1%5Cu00a06.5%25%20for%20RA%29.%20The%20largest%20displacement%20was%20observed%20for%20the%20medial%20part%20of%20RA%20%2817.9%5Cu00a0%5Cu00b1%5Cu00a08.0%5Cu00a0mm%29%20whereas%20the%20posterior%20part%20of%20LM%20underwent%20limited%20motion%20%282.8%5Cu00a0%5Cu00b1%5Cu00a02.3%5Cu00a0mm%29.%20Displacement%20rate%20and%20correlation%20between%20muscle%20thickness%20and%20medial%20axis%20length%20during%20each%20exercise%20provided%20insights%20regarding%20subject-specific%20muscle%20function.%5CnCONCLUSIONS%3A%20Dynamic%20MRI%20is%20a%20promising%20tool%20for%20the%20assessment%20of%20the%20abdominal%20wall%20motion%20and%20deformations.%20The%20corresponding%20metrics%20which%20have%20been%20continuously%20recorded%20during%20the%20exercises%20provided%20global%20and%20regional%20quantitative%20information.%20These%20metrics%20offer%20perspectives%20for%20a%20genuine%20clinical%20evaluation%20tool%20dedicated%20to%20the%20assessment%20of%20abdominal%20muscles%20function%20in%20both%20healthy%20subjects%20and%20patients.%22%2C%22date%22%3A%222022-01-29%22%2C%22language%22%3A%22eng%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.cmpb.2022.106667%22%2C%22ISSN%22%3A%221872-7565%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22NW6SZQBR%22%2C%22KFZ6H27M%22%2C%22SK6VWU7K%22%2C%22XTA6KS7L%22%5D%2C%22dateModified%22%3A%222024-07-26T08%3A15%3A04Z%22%7D%7D%5D%7D
Tikhonenko, Dmitrii, Kaizad Rustomji, Christophe Vilmen, Arnaud Durand, Georges Nouari, Stefan Enoch, David Bendahan, Redha Abdeddaim, and Marc Dubois. “Optimal Excitation of Single Mode Resonators: Demonstration with a 3 T MRI Metasolenoid.”
Journal of Magnetic Resonance (San Diego, Calif.: 1997) 382 (November 13, 2025): 107992.
https://doi.org/10.1016/j.jmr.2025.107992.
Dalmas, Florian, Clémence Foing, Geneviève Darrason, Arthur Varoquaux, Karin Mazodier, Romain Muller, Jean-Marc Foletti, et al. “Long-Term Tocilizumab Therapy in Patients with Corticosteroid-Resistant Active Moderate-to-Severe Thyroid Eye Disease.”
European Journal of Endocrinology, November 10, 2025, lvaf227.
https://doi.org/10.1093/ejendo/lvaf227.
Melka, Margaux, Ludivine Rotard, Caroline Benstaali, Julie Brocard, Benoit Giannesini, Fanny Jouve, Laurent Pelletier, et al. “Limited Pre-Clinical Relevance of the Heterozygous RYR1-I4895T/+ Mouse Model Due to Its Mild Phenotype.”
Journal of Neuromuscular Diseases, September 19, 2025, 22143602251339354.
https://doi.org/10.1177/22143602251339354.
Martin, Sandra, Amira Trabelsi, Maxime Guye, Marc Dubois, Redha Abdeddaim, David Bendahan, and Rémi André. “Optimized Reconstruction of Undersampled Dixon Sequences Using New Memory-Efficient Unrolled Deep Neural Networks: HalfVarNet and HalfDIRCN.”
Magnetic Resonance in Medicine, September 8, 2025.
https://doi.org/10.1002/mrm.70070.
Joppin, Victoria, Catherine Masson, David Bendahan, and Thierry Bege. “A Review of Ventral Hernia Biomechanics.”
Journal of the Mechanical Behavior of Biomedical Materials 173 (August 20, 2025): 107159.
https://doi.org/10.1016/j.jmbbm.2025.107159.
Verdu-Diaz, Jose, Carla Bolano-Díaz, Alejandro Gonzalez-Chamorro, Sam Fitzsimmons, Jodi Warman-Chardon, Goknur Selen Kocak, Debora Mucida-Alvim, et al. “Myo-Guide: A Machine Learning-Based Web Application for Neuromuscular Disease Diagnosis With MRI.”
Journal of Cachexia, Sarcopenia and Muscle 16, no. 3 (June 2025): e13815.
https://doi.org/10.1002/jcsm.13815.
Joppin, Victoria, David Bendahan, Ahmed Ali El Ahmadi, Catherine Masson, and Thierry Bege. “Biomechanics of the Abdominal Wall before and after Ventral Hernia Repair Using Dynamic MRI.”
Hernia: The Journal of Hernias and Abdominal Wall Surgery 29, no. 1 (May 24, 2025): 185.
https://doi.org/10.1007/s10029-025-03337-4.
Iftissen-Husser, François, Jean-Pierre Lavieille, and Arthur Varoquaux. “Ultra-High Resolution CT: A Revolution in the Evaluation of the Temporal Bone, Middle and Inner Ear.”
Diagnostic and Interventional Imaging, March 25, 2025, S2211-5684(25)00047-6.
https://doi.org/10.1016/j.diii.2025.03.003.
Erol, Muhammet Enes, Sean T. Bannon, Alexs A. Matias, Triantafyllia Siokas, Rajakumar Nagarajan, Yann Le Fur, Song-Young Park, and Gwenael Layec. “Mitochondrial Efficiency in Resting Skeletal Muscle in Vivo: A Novel Non-Invasive Approach Using Multinuclear Magnetic Resonance Spectroscopy in Humans.”
The Journal of Physiology, February 17, 2025.
https://doi.org/10.1113/JP287412.
Martin, Sandra, Rémi André, Amira Trabelsi, Constance P. Michel, Etienne Fortanier, Shahram Attarian, Maxime Guye, Marc Dubois, Redha Abdeddaim, and David Bendahan. “Importance of Neural Network Complexity for the Automatic Segmentation of Individual Thigh Muscles in MRI Images from Patients with Neuromuscular Diseases.”
Magma (New York, N.Y.), January 11, 2025.
https://doi.org/10.1007/s10334-024-01221-3.
Chatel, Benjamin, Isabelle Varlet, Augustin C. Ogier, Emilie Pecchi, Monique Bernard, Julien Gondin, Håkan Westerblad, David Bendahan, and Charlotte Gineste. “Cyclosporine A Delays the Terminal Disease Stage in the Tfam KO Mitochondrial Myopathy Mouse Model Without Improving Mitochondrial Energy Production.”
Muscle & Nerve 71, no. 2 (2025): 265–74.
https://doi.org/10.1002/mus.28315.
Cruz, Eva Sole, Etienne Fortanier, Constance P. Michel, Emilien Delmont, Annie Verschueren, Marc-Adrien Hostin, David Bendahan, and Shahram Attarian. “Intraepineurial Fat Fraction: A Novel MR Neurography-Based Biomarker in Transthyretin Amyloidosis Polyneuropathy.”
European Journal of Neurology 32, no. 4 (2025).
https://doi.org/10.1111/ene.70168.
Fortanier, Etienne, Constance P. Michel, Marc Adrien Hostin, Emilien Delmont, Annie Verschueren, Maxime Guye, Marc-Emmanuel Bellemare, David Bendahan, and Shahram Attarian. “Quantitative Muscle MRI Combined with AI-Based Segmentation as a Follow-up Biomarker for ATTRv Patients: A Longitudinal Pilot Study.”
European Journal of Neurology 32, no. 1 (2025): e16574.
https://doi.org/10.1111/ene.16574.
Guivarch, Jokthan, Mélanie-Lou Persia, Laure Le Treut, Pauline Grandgeorge, Federico Solla, Hugo Pergeline, Michel Dugnat, et al. “Evaluation of the Early Development of 6-Month-Old Babies in the Case of Maternal Postpartum Depression with or Without Bipolar Disorder.”
Children (Basel, Switzerland) 12, no. 1 (December 24, 2024): 11.
https://doi.org/10.3390/children12010011.
Joppin, Victoria, Arthur Jourdan, David Bendahan, Andréa Soucasse, Maxime Guye, Catherine Masson, and Thierry Bège. “Towards a Better Understanding of Abdominal Wall Biomechanics: In Vivo Relationship between Dynamic Intra-Abdominal Pressure and Magnetic Resonance Imaging Measurements.”
Clinical Biomechanics (Bristol, Avon) 121 (November 20, 2024): 106396.
https://doi.org/10.1016/j.clinbiomech.2024.106396.
Gicquel, Tristan, Fabio Marchiano, Gabriela Reyes-Castellanos, Stephane Audebert, Luc Camoin, Bianca H. Habermann, Benoit Giannesini, and Alice Carrier. “Integrative Study of Skeletal Muscle Mitochondrial Dysfunction in a Murine Pancreatic Cancer-Induced Cachexia Model.”
eLife 13 (October 18, 2024): RP93312.
https://doi.org/10.7554/eLife.93312.
Varoquaux, Arthur, Nicolas Fakhry, Ugo Scemama, and David Taïeb. “Differentiation of Vagal from Carotid Paraganglioma on Unenhanced PET/CT: The ‘Sweet Potato’ Shape on PET.”
European Journal of Nuclear Medicine and Molecular Imaging 51, no. 12 (October 1, 2024): 3799–3801.
https://doi.org/10.1007/s00259-024-06776-w.
Matias, Alexs A., Corinna F. Serviente, Stephen T. Decker, Muhammet Enes Erol, Gaia Giuriato, Yann Le Fur, Rajakumar Nagarajan, David Bendahan, and Gwenael Layec. “Repeatability of Alkaline Inorganic Phosphate Quantification in the Skeletal Muscle Using 31P-Magnetic Resonance Spectroscopy at 3 T.”
NMR in Biomedicine, September 3, 2024, e5255.
https://doi.org/10.1002/nbm.5255.
Sallustio, V., M. Rossi, M. Mandrone, F. Rossi, I. Chiocchio, T. Cerchiara, E. Longo, et al. “A Promising Eco-Sustainable Wound Dressing Based on Cellulose Extracted from Spartium Junceum L. and Impregnated with Glycyrrhiza Glabra L Extract: Design, Production and Biological Properties.”
International Journal of Biological Macromolecules 272, no. Pt 2 (June 3, 2024): 132883.
https://doi.org/10.1016/j.ijbiomac.2024.132883.
Fortanier, Etienne, Marc Adrien Hostin, Constance Michel, Emilien Delmont, Marc-Emmanuel Bellemare, Maxime Guye, David Bendahan, and Shahram Attarian. “One-Year Longitudinal Assessment of Patients With CMT1A Using Quantitative MRI.”
Neurology 102, no. 9 (May 14, 2024): e209277.
https://doi.org/10.1212/WNL.0000000000209277.
Monestier, Laura, Jean Del Grande, Ralph Haddad, Laure Santini, Justin Michel, Arthur Varoquaux, and Nicolas Fakhry. “Correlation between MRI (DWI and DCE) and Cellularity of Parotid Gland Pleomorphic Adenomas.”
European Archives of Oto-Rhino-Laryngology 281, no. 5 (May 1, 2024): 2655–65.
https://doi.org/10.1007/s00405-024-08562-8.
Macchi, Robin, Yoko Kunimasa, Pascale Chavet, Baptiste Corcelle, Laura Pomportes, Camille Fazzari, Arnaud Hays, et al. “Effect of a Graded Running Race on Lower Limb Muscle Damage, Jump Performance and Muscle Soreness in Men and Women.”
Scandinavian Journal of Medicine & Science in Sports 34, no. 5 (May 2024): e14643.
https://doi.org/10.1111/sms.14643.
Galli, Ricardo A., Tamara C. Borsboom, Charlotte Gineste, Lorenza Brocca, Maira Rossi, Darren T. Hwee, Fady I. Malik, et al. “Tirasemtiv Enhances Submaximal Muscle Tension in an Acta1:P.Asp286Gly Mouse Model of Nemaline Myopathy.”
The Journal of General Physiology 156, no. 4 (April 1, 2024): e202313471.
https://doi.org/10.1085/jgp.202313471.
Michel, Constance P., Laurent A. Messonnier, Benoit Giannesini, Christophe Vilmen, Joevin Sourdon, Yann Le Fur, and David Bendahan. “Endurance Training and Hydroxyurea Have Synergistic Effects on Muscle Function and Energetics in Sickle Cell Disease Mice.”
Blood Cells, Molecules & Diseases 107 (March 29, 2024): 102853.
https://doi.org/10.1016/j.bcmd.2024.102853.
Brui, Ekaterina A., Zilya Badrieva, Charles-Alexis de Mayenne, Stanislas Rapacchi, Thomas Troalen, and David Bendahan. “Mitigating Slice Cross-Talk in Multi-Slice Multi-Echo Spin Echo T2 Mapping.”
Magnetic Resonance in Medicine 91, no. 5 (2024): 2089–2103.
https://doi.org/10.1002/mrm.29987.
White, McKenzie S., Augustin C. Ogier, Thomas L. Chenevert, Elizabeth Zucker, Luke Stoneback, Constance P. Michel, Riann M. Palmieri-Smith, and Lindsey K. Lepley. “Beyond Weakness: Exploring Intramuscular Fat and Quadriceps Atrophy in ACLR Recovery.”
Journal of Orthopaedic Research 42, no. 11 (2024): 2485–94.
https://doi.org/10.1002/jor.25910.
Guenoun, Daphne, Theo Wirth, Damien Roche, Constance P. Michel, Pierre Daudé, Augustin C. Ogier, Christophe Chagnaud, et al. “Ultra-High Field Magnetic Resonance Imaging of the Quadriceps Tendon Enthesis in Healthy Subjects.”
Surgical and Radiologic Anatomy 45, no. 8 (August 1, 2023): 1049–54.
https://doi.org/10.1007/s00276-023-03175-y.
Vladimirov, Nikita, Ekaterina Brui, Anatoliy Levchuk, Walid Al-Haidri, Vladimir Fokin, Aleksandr Efimtcev, and David Bendahan. “CNN-Based Fully Automatic Wrist Cartilage Volume Quantification in MR Images: A Comparative Analysis between Different CNN Architectures.”
Magnetic Resonance in Medicine 90, no. 2 (August 2023): 737–51.
https://doi.org/10.1002/mrm.29671.
Graber, Matthieu, Farah Cadour, Ahmed Ali El Ahmadi, Idir Khati, Jean Del Grande, Christophe Chagnaud, Nicolas Fakhry, Maxime Guye, and Arthur Varoquaux. “Adding Automated Decision-Tree Models to Multiparametric MRI for Parotid Tumours Improves Clinical Performance.”
European Journal of Radiology 166 (July 20, 2023): 110999.
https://doi.org/10.1016/j.ejrad.2023.110999.
Ogier, Augustin C., Stanislas Rapacchi, and Marc-Emmanuel Bellemare. “Four-Dimensional Reconstruction and Characterization of Bladder Deformations.”
Computer Methods and Programs in Biomedicine 237 (April 29, 2023): 107569.
https://doi.org/10.1016/j.cmpb.2023.107569.
Michel, Constance P., David Bendahan, Benoit Giannesini, Christophe Vilmen, Yann Le Fur, and Laurent A. Messonnier. “Effects of Hydroxyurea on Skeletal Muscle Energetics and Force Production in a Sickle Cell Disease Murine Model.”
Journal of Applied Physiology 134, no. 2 (February 2023): 415–25.
https://doi.org/10.1152/japplphysiol.00333.2022.
Heskamp, Linda, Augustin Ogier, David Bendahan, and Arend Heerschap. “Author Correction: Whole-Muscle Fat Analysis Identifies Distal Muscle End as Disease Initiation Site in Facioscapulohumeral Muscular Dystrophy.”
Communications Medicine 3, no. 1 (January 12, 2023): 6.
https://doi.org/10.1038/s43856-023-00236-6.
Chivet, Mathilde, Maximilian McCluskey, Anne Sophie Nicot, Julie Brocard, Mathilde Beaufils, Diane Giovannini, Benoit Giannesini, et al. “Huntingtin Regulates Calcium Fluxes in Skeletal Muscle.”
The Journal of General Physiology 155, no. 1 (January 2, 2023): e202213103.
https://doi.org/10.1085/jgp.202213103.
Nassar, Jannette, Amira Trabelsi, Rula Amer, Yann Le Fur, Shahram Attarian, Dvir Radunsky, Tamar Blumenfeld-Katzir, Hayit Greenspan, David Bendahan, and Noam Ben-Eliezer. “Estimation of Subvoxel Fat Infiltration in Neurodegenerative Muscle Disorders Using Quantitative Multi-T2 Analysis.”
NMR in Biomedicine 36, no. 9 (2023): e4947.
https://doi.org/10.1002/nbm.4947.
Durelle, Clémence, Emilien Delmont, Constance Michel, Amira Trabelsi, Marc-Adrien Hostin, Augustin Ogier, David Bendahan, and Shahram Attarian. “Quantification of Muscle Involvement in Familial Amyloid Polyneuropathy Using MRI.”
European Journal of Neurology 30, no. 10 (2023): 3286–95.
https://doi.org/10.1111/ene.15970.
Hostin, Marc-Adrien, Augustin C. Ogier, Constance P. Michel, Yann Le Fur, Maxime Guye, Shahram Attarian, Etienne Fortanier, Marc-Emmanuel Bellemare, and David Bendahan. “The Impact of Fatty Infiltration on MRI Segmentation of Lower Limb Muscles in Neuromuscular Diseases: A Comparative Study of Deep Learning Approaches.”
Journal of Magnetic Resonance Imaging 58, no. 6 (2023): 1826–35.
https://doi.org/10.1002/jmri.28708.
Poullain, François, Pierre Champsaur, Vanessa Pauly, Paul Knoepflin, Thomas Le Corroller, Maud Creze, Martine Pithioux, David Bendahan, and Daphne Guenoun. “Vertebral Trabecular Bone Texture Analysis in Opportunistic MRI and CT Scan Can Distinguish Patients with and without Osteoporotic Vertebral Fracture: A Preliminary Study.”
European Journal of Radiology 158 (December 6, 2022): 110642.
https://doi.org/10.1016/j.ejrad.2022.110642.
Heskamp, Linda, Augustin Ogier, David Bendahan, and Arend Heerschap. “Whole-Muscle Fat Analysis Identifies Distal Muscle End as Disease Initiation Site in Facioscapulohumeral Muscular Dystrophy.”
Communications Medicine 2, no. 1 (December 1, 2022): 155.
https://doi.org/10.1038/s43856-022-00217-1.
Knoepflin, Paul, Martine Pithioux, David Bendahan, François Poullain, Thomas Le Corroller, Cyprien Fabre, Vanessa Pauly, et al. “Texture Parameters Measured by UHF-MRI and CT Scan Provide Information on Bone Quality in Addition to BMD: A Biomechanical Ex Vivo Study.”
Diagnostics 12, no. 12 (December 2022): 3143.
https://doi.org/10.3390/diagnostics12123143.
Soldati, Enrico, Flavy Roseren, Daphne Guenoun, Lucia Mancini, Emilio Catelli, Silvia Prati, Giorgia Sciutto, et al. “Multiscale Femoral Neck Imaging and Multimodal Trabeculae Quality Characterization in an Osteoporotic Bone Sample.”
Materials (Basel, Switzerland) 15, no. 22 (November 14, 2022): 8048.
https://doi.org/10.3390/ma15228048.
Mayoly, Alice, Marie Witters, Elisabeth Jouve, Cécilia Bec, Aurélie Iniesta, Najib Kachouh, Julie Veran, et al. “Intra Articular Injection of Autologous Microfat and Platelets-Rich Plasma in the Treatment of Wrist Osteoarthritis: A Pilot Study.”
Journal of Clinical Medicine 11, no. 19 (September 29, 2022): 5786.
https://doi.org/10.3390/jcm11195786.
Meimoun, Laura, Émilie Pecchi, Christophe Vilmen, David Bendahan, and Benoît Giannesini. “Effect of Citrulline Malate Supplementation on Muscle Function and Bioenergetics during Short-Term Repeated Bouts of Fatiguing Exercise.”
Journal of Sports Sciences 40, no. 17 (September 2, 2022): 1981–90.
https://doi.org/10.1080/02640414.2022.2123527.
Katirtzidou, Eirini, Olivier Rager, Arthur Damien Varoquaux, Antoine Poncet, Vincent Lenoir, Nicolas Dulguerov, Alexandra Platon, Valentina Garibotto, Habib Zaidi, and Minerva Becker. “Detection of Distant Metastases and Distant Second Primary Cancers in Head and Neck Squamous Cell Carcinoma: Comparison of [18F]FDG PET/MRI and [18F]FDG PET/CT.”
Insights into Imaging 13, no. 1 (July 28, 2022): 121.
https://doi.org/10.1186/s13244-022-01261-0.
Amer, Rula, Jannette Nassar, Amira Trabelsi, David Bendahan, Hayit Greenspan, and Noam Ben-Eliezer. “Quantification of Intra-Muscular Adipose Infiltration in Calf/Thigh MRI Using Fully and Weakly Supervised Semantic Segmentation.”
Bioengineering 9, no. 7 (July 14, 2022): 315.
https://doi.org/10.3390/bioengineering9070315.
Cadour, Farah, Jennifer Cautela, Stanislas Rapacchi, Arthur Varoquaux, Paul Habert, François Arnaud, Alexis Jacquier, et al. “Cardiac MRI Features and Prognostic Value in Immune Checkpoint Inhibitor–Induced Myocarditis.”
Radiology 303, no. 3 (June 2022): 512–21.
https://doi.org/10.1148/radiol.211765.
Brui, Ekaterina, Anna Mikhailovskaya, Georgiy Solomakha, Alexander Efimtcev, Anna Andreychenko, and Alena Shchelokova. “Volumetric Wireless Coil for Wrist MRI at 1.5 T as a Practical Alternative to Tx/Rx Extremity Coil: A Comparative Study.”
Journal of Magnetic Resonance (San Diego, Calif.: 1997) 339 (June 2022): 107209.
https://doi.org/10.1016/j.jmr.2022.107209.
Boutray, Marie de, Mélanie Pons, Nicolas Graillon, Cyrille Chossegros, Anthony Reyre, Christophe Chagnaud, and Arthur Varoquaux. “Stensen’s Duct Stenosis Balloon Dilatation: Long-Term Evaluation of Clinical Outcomes and Quality of Life Impacts.”
Otolaryngology–Head and Neck Surgery, May 3, 2022, 01945998221097636.
https://doi.org/10.1177/01945998221097636.
Shpringer, Guy, David Bendahan, and Noam Ben-Eliezer. “Accelerated Reconstruction of Dictionary-Based T2 Relaxation Maps Based on Dictionary Compression and Gradient Descent Search Algorithms.”
Magnetic Resonance Imaging 87 (April 2022): 56–66.
https://doi.org/10.1016/j.mri.2021.12.006.
Micieli, Evy, Davide Voci, Nicola Mumoli, Daniela Mastroiacovo, Alexandru Grigorean, Michael Obadia, Nicolas Menjot de Champfleur, et al. “Transient Perivascular Inflammation of the Carotid Artery (TIPIC) Syndrome.”
VASA. Zeitschrift Fur Gefasskrankheiten 51, no. 2 (March 2022): 71–77.
https://doi.org/10.1024/0301-1526/a000989.
Jourdan, Arthur, Stanislas Rapacchi, Maxime Guye, David Bendahan, Catherine Masson, and Thierry Bège. “Dynamic-MRI Quantification of Abdominal Wall Motion and Deformation during Breathing and Muscular Contraction.”
Computer Methods and Programs in Biomedicine 217 (January 29, 2022): 106667.
https://doi.org/10.1016/j.cmpb.2022.106667.