Magnetic Resonance Fingerprinting for Quantitative MRI, Volume Fourteen offers readers a thorough exploration of MR Fingerprinting, a groundbreaking advancement in quantitative MRI techniques. This volume serves as an essential resource for researchers and radiologists seeking to understand the detailed processes behind MR Fingerprinting. It begins by addressing the fundamentals of MR acquisition, examining how innovative approaches and diverse MR contrast mechanisms can enhance imaging. Through clear explanations and comprehensive coverage, the book invites professionals in the field to rethink traditional imaging protocols and discover new possibilities that MR Fingerprinting introduces to clinical and research practices.
In addition to its foundational overview, the book delves into practical aspects such as implementation, clinical translation challenges, and real-world applications. It places significant emphasis on signal modeling, post-processing techniques, and the integration of MR Fingerprinting into various clinical scenarios.
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
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
