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Research Overview

Dr. Moulin’s research focuses on the development of reliable MR sequences to measure innovative quantitative biomarkers and on the translation of these sequences into robust clinical diagnostic tools. He has a special interest in cardiac diffusion imaging, motion encoding approaches, free-breathing, and cardiac motion-compensation techniques. In his latest work, he developed an approach to combine diffusion imaging and tissue displacement imaging to estimate the local strains of the cardiac cells which can help characterize the onset and progression of cardiac pathologies.

Research Background

Dr. Moulin is an MR physicist who specialized in designing and developing translational MR sequences. He obtained his Ph.D. from the University of Lyon in France under the supervision of Dr. Magalie Viallon and Pr. Pierre Croisille. He completed 5 years of post-doctoral training at UCLA and Stanford University under the supervision of Pr. Daniel Ennis. He joined Boston Children’s Hospital faculty as an Instructor in October 2022. His research activities cover the development and translational application of advanced MRI acquisitions and reconstruction techniques for chest, abdominal and cardiovascular applications. He has worked in the emergent field of cardiac diffusion imaging in which he developed robust free-breathing and cardiac motion-compensation techniques. For this work, he was awarded an American Heart Association (AHA) postdoctoral fellowship in 2020.

Selected Publications

  1. Moulin K, Stoeck CT, Axel L, Broncano J, Croisille P, Dall'Armellina E, Ennis DE, Ferreira PF, Gotschy A, Miro S, Schneider JE, Scott AD, Sosnovik DE, Teh I, Tous C, Tunnicliffe EM, Viallon M, Nguyen C. In Vivo Cardiac Diffusion imaging without motion-compensation leads to unreasonably high diffusivity. JMRI 2023. doi: 10.1002/jmri.28703
  2. Moulin K, Croisille P, Viallon M, Verzhbinsky I, Perotti L, Ennis DB. Myofiber strain in healthy human volunteers using DENSE and cDTI. Magn Reson Med 2021 Feb. doi: 10.1002/mrm.28724
  3. Moulin K, Verzhbinsky I, Maforo N, Perotti L, Ennis DB. Cardiomyocyte Mobility Measured with High Resolution Cardiac Diffusion Weighted MRI. PlosOne 2020 Nov. doi : 10.1371/journal.pone.0241996
  4. Moulin K, Viallon M, Romero W, Chazot A, Mewton M, Isaaz K, Croisille P. Cardiac diffusion MR imaging in reperfused acute myocardial infarction: ADC comparison with T1 and T2. Radiology 2020 Jun. doi: 10.1148/radiol.2020192186
  5. Moulin K, Aliotta E, Ennis DB. Effect of flow‐encoding strength on intravoxel incoherent motion in the liver. Magn Reson Med 2018 Sep. doi: 10.1002/mrm.27490
  6. Moulin K, Croisille P, Feiweier T, Delattre BM, Wei H, Robert B, Beuf O, Viallon M. In vivo free-breathing DTI and IVIM of the whole human heart using a real-time slice-followed SE-EPI navigator-based sequence: A reproducibility study in healthy volunteers. Magn Reson Med 2015 Aug. doi:10.1002/mrm.25852

Publications

  1. Cardiac diffusion-weighted and tensor imaging: A consensus statement from the special interest group of the Society for Cardiovascular Magnetic Resonance. J Cardiovasc Magn Reson. 2024 Oct 22; 27(1):101109. View Abstract
  2. A deep learning approach for fast muscle water T2 mapping with subject specific fat T2 calibration from multi-spin-echo acquisitions. Sci Rep. 2024 04 08; 14(1):8253. View Abstract
  3. In Vivo Cardiac Diffusion Imaging Without Motion-Compensation Leads to Unreasonably High Diffusivity. J Magn Reson Imaging. 2023 12; 58(6):1990-1991. View Abstract
  4. Comparison between 7 Tesla and 3 Tesla MRI for characterizing orbital lesions. Diagn Interv Imaging. 2022 Sep; 103(9):433-439. View Abstract
  5. In Vivo Super-Resolution Cardiac Diffusion Tensor MRI: A Feasibility Study. Diagnostics (Basel). 2022 Mar 31; 12(4). View Abstract
  6. Cardiac Diffusion Tensor Biomarkers of Chronic Infarction Based on In Vivo Data. Appl Sci (Basel). 2022 Apr; 12(7). View Abstract
  7. Kinetics of Cardiac Remodeling and Fibrosis Biomarkers During an Extreme Mountain Ultramarathon. Front Cardiovasc Med. 2022; 9:790551. View Abstract
  8. Validation of cardiac diffusion tensor imaging sequences: A multicentre test-retest phantom study. NMR Biomed. 2022 06; 35(6):e4685. View Abstract
  9. Diffusion biomarkers in chronic myocardial infarction. Funct Imaging Model Heart. 2021 Jun; 12738:137-147. View Abstract
  10. Myofiber strain in healthy humans using DENSE and cDTI. Magn Reson Med. 2021 07; 86(1):277-292. View Abstract
  11. Diffusion Tensor Imaging of Skeletal Muscle Contraction Using Oscillating Gradient Spin Echo. Front Neurol. 2021; 12:608549. View Abstract
  12. T1-Mapping and extracellular volume estimates in pediatric subjects with Duchenne muscular dystrophy and healthy controls at 3T. J Cardiovasc Magn Reson. 2020 12 10; 22(1):85. View Abstract
  13. Estimating cardiomyofiber strain in vivo by solving a computational model. Med Image Anal. 2021 02; 68:101932. View Abstract
  14. Probing cardiomyocyte mobility with multi-phase cardiac diffusion tensor MRI. PLoS One. 2020; 15(11):e0241996. View Abstract
  15. Optimization methods for magnetic resonance imaging gradient waveform design. NMR Biomed. 2020 12; 33(12):e4308. View Abstract
  16. MRI of Reperfused Acute Myocardial Infarction Edema: ADC Quantification versus T1 and T2 Mapping. Radiology. 2020 Jun; 295(3):542-549. View Abstract
  17. 4D Flow MR Imaging to Improve Microwave Ablation Prediction Models: A Feasibility Study in an In Vivo Porcine Liver. J Vasc Interv Radiol. 2020 10; 31(10):1691-1696.e1. View Abstract
  18. Evaluation of a Workflow to Define Low Specific Absorption Rate MRI Protocols for Patients With Active Implantable Medical Devices. J Magn Reson Imaging. 2020 07; 52(1):91-102. View Abstract
  19. Prostate diffusion MRI with minimal echo time using eddy current nulled convex optimized diffusion encoding. J Magn Reson Imaging. 2020 05; 51(5):1526-1539. View Abstract
  20. Estimating Aggregate Cardiomyocyte Strain Using In Vivo Diffusion and Displacement Encoded MRI. IEEE Trans Med Imaging. 2020 03; 39(3):656-667. View Abstract
  21. Motion-Induced Signal Loss in In Vivo Cardiac Diffusion-Weighted Imaging. J Magn Reson Imaging. 2020 01; 51(1):319-320. View Abstract
  22. Effect of flow-encoding strength on intravoxel incoherent motion in the liver. Magn Reson Med. 2019 03; 81(3):1521-1533. View Abstract
  23. Quantifying precision in cardiac diffusion tensor imaging with second-order motion-compensated convex optimized diffusion encoding. Magn Reson Med. 2018 09; 80(3):1074-1087. View Abstract
  24. Microstructurally Anchored Cardiac Kinematics by Combining In Vivo DENSE MRI and cDTI. Funct Imaging Model Heart. 2017 Jun; 10263:381-391. View Abstract
  25. Simultaneous measurement of T2 and apparent diffusion coefficient (T2 +ADC) in the heart with motion-compensated spin echo diffusion-weighted imaging. Magn Reson Med. 2018 02; 79(2):654-662. View Abstract
  26. Eddy current-nulled convex optimized diffusion encoding (EN-CODE) for distortion-free diffusion tensor imaging with short echo times. Magn Reson Med. 2018 02; 79(2):663-672. View Abstract
  27. Quantifying the effect of tissue deformation on diffusion-weighted MRI: a mathematical model and an efficient simulation framework applied to cardiac diffusion imaging. Phys Med Biol. 2016 08 07; 61(15):5662-86. View Abstract
  28. In vivo free-breathing DTI and IVIM of the whole human heart using a real-time slice-followed SE-EPI navigator-based sequence: A reproducibility study in healthy volunteers. Magn Reson Med. 2016 07; 76(1):70-82. View Abstract
  29. Free-breathing diffusion tensor imaging and tractography of the human heart in healthy volunteers using wavelet-based image fusion. IEEE Trans Med Imaging. 2015 Jan; 34(1):306-16. View Abstract

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