Magnetic Resonance Fingerprinting for Quantitative MRI

Dan Ma, PhD, Assistant Professor, Department of Biomedical Engineering, School of Medicine, Case Western Reserve University, and Member, Cancer Imaging Program, Case Comprehensive Cancer Center. Research Interests: Magnetic Resonance Imaging (MRI), Magnetic Resonance Fingerprinting (MRF), Quantitative MR, and Neuroimaging. Research Projects: Multi-parametric Quantitative MR Imaging, MR Fingerprinting, in collaboration with Siemens, MR Fingerprinting Quantum Optimization, in collaboration with Microsoft, MR Fingerprinting in Epilepsy, in collaboration with Epilepsy Center at Cleveland Clinic, and Brain Tumors, Multiple Sclerosis, Alzheimer's disease. Awards and Honors: Outstanding Teacher Award, 2018, International Society for Magnetic Resonance in Medicine; Junior Fellow 2017, International Society for Magnetic Resonance in Medicine; I.I.Rabi Young Investigator Award 2016, International Society for Magnetic Resonance in Medicine; and Hiroyuki Fujita PhD Award 2012 Case Western Reserve University. Dr Claudia Prieto is a Reader in the School of Biomedical Engineering & Imaging Sciences

1. Overview of Quantitative Imaging 2. Contrast Mechanism, transient state 3. Concept of MR Fingerprinting (flexibility !) 4. Sequence Optimization and Derivatives 5. Technical Considerations of MRF Implementation 6. Multi-parametric Designs 7. Preclinical 8. Image Post Processing and Analysis (so much data) 9. Roles of AI 10. Large Scale Dissemination, Standardization, Reproducibility 11. MRF at Ultra High and Ultra Low Fields 12. Opportunities and Challenges in Clinical Translation 13. Neuro 14. Cardiac 15. Abdominal 16. Other Applications 17. Future Perspectives