Dan Ma, PhD, is an Associate Professor of Neurosurgery and Biomedical Engineering at Duke University. She is the co-inventor of MR Fingerprinting and has led its technical development and clinical translation for over ten years. Her research focuses on quantitative MRI across acquisition, reconstruction, and analysis, with clinical applications in neurological diseases, pediatric imaging, breast cancer, and prostate cancer. She is a Senior Member of the National Academy of Inventors, a Junior Fellow of the International Society for Magnetic Resonance in Medicine (ISMRM) , and a recipient of the ISMRM I. I. Rabi Young Investigator Award. Dr. Mark A. Griswold is a world-renowned MRI scientist, a Professor of Radiology and Biomedical Engineering at Case Western Reserve University (CWRU) and a member of the Case Comprehensive Cancer Center. His research spans fast and quantitative MRI methods, with contributions to parallel imaging, MR fingerprinting, and MRI hardware innovation. At CWRU, he has served as Director of MRI Research and as Director of the Interactive Commons, fostering cross-disciplinary collaboration and new approaches to visualization and education. Recognized for impactful invention and translation, he was elected a Fellow of the National Academy of Inventors and a Fellow of AIMBE. He also served as President of the International Society for Magnetic Resonance in Medicine (ISMRM). Claudia Prieto, PhD, is a Professor at the Faculty of Engineering at the Pontificia Universidad Católica de Chile. She is an internationally recognized expert in cardiac magnetic resonance imaging (MRI), with more than 15 years of experience in MRI research. Her work focuses on developing and evaluating novel MRI techniques for improved assessment of cardiovascular disease, including acquisition, reconstruction, motion estimation and correction, quantitative MRI, and AI–based solutions for different stages of the imaging pipeline.

• Preface1. Quantitative MRI and Contrast Mechanisms2. Overview of Quantitative Imaging Techniques3. Fundamentals of MR Fingerprinting4. Sequence Optimization and Derivatives in MRF5. Technical Considerations for MRF Implementation6. Multi-Parametric MRF Designs7. MRF at Ultra-High and Ultra-Low Magnetic Fields8. Technical development towards efficiency, high-resolution, and automated MRF.9. Preclinical MRF10. Vendor-Neutral, Cloud Computing, Large-Scale Dissemination11. Image Post-Processing and Analysis Techniques12. The Roles of Artificial Intelligence in MRF13. Standardization and Reproducibility14. Addressing Motion Artifacts in MRF15. Confounding Factors in Image Analysis16. Opportunities and Challenges in Clinical Translation17. MRF in Neuroimaging18. MRF in Cardiac Imaging19. MRF in Abdominal Imaging20. MRF in Musculoskeletal Imaging21. MRF in Pediatric Imaging

Dan Ma, PhD, is an Associate Professor of Neurosurgery and Biomedical Engineering at Duke University. She is the co-inventor of MR Fingerprinting and has led its technical development and clinical translation for over ten years. Her research focuses on quantitative MRI across acquisition, reconstruction, and analysis, with clinical applications in neurological diseases, pediatric imaging, breast cancer, and prostate cancer. She is a Senior Member of the National Academy of Inventors, a Junior Fellow of the International Society for Magnetic Resonance in Medicine (ISMRM) , and a recipient of the ISMRM I. I. Rabi Young Investigator Award. Dr. Mark A. Griswold is a world-renowned MRI scientist, a Professor of Radiology and Biomedical Engineering at Case Western Reserve University (CWRU) and a member of the Case Comprehensive Cancer Center. His research spans fast and quantitative MRI methods, with contributions to parallel imaging, MR fingerprinting, and MRI hardware innovation. At CWRU, he has served as Director of MRI Research and as Director of the Interactive Commons, fostering cross-disciplinary collaboration and new approaches to visualization and education. Recognized for impactful invention and translation, he was elected a Fellow of the National Academy of Inventors and a Fellow of AIMBE. He also served as President of the International Society for Magnetic Resonance in Medicine (ISMRM). Claudia Prieto, PhD, is a Professor at the Faculty of Engineering at the Pontificia Universidad Católica de Chile. She is an internationally recognized expert in cardiac magnetic resonance imaging (MRI), with more than 15 years of experience in MRI research. Her work focuses on developing and evaluating novel MRI techniques for improved assessment of cardiovascular disease, including acquisition, reconstruction, motion estimation and correction, quantitative MRI, and AI–based solutions for different stages of the imaging pipeline.

• Preface1. Quantitative MRI and Contrast Mechanisms2. Overview of Quantitative Imaging Techniques3. Fundamentals of MR Fingerprinting4. Sequence Optimization and Derivatives in MRF5. Technical Considerations for MRF Implementation6. Multi-Parametric MRF Designs7. MRF at Ultra-High and Ultra-Low Magnetic Fields8. Technical development towards efficiency, high-resolution, and automated MRF.9. Preclinical MRF10. Vendor-Neutral, Cloud Computing, Large-Scale Dissemination11. Image Post-Processing and Analysis Techniques12. The Roles of Artificial Intelligence in MRF13. Standardization and Reproducibility14. Addressing Motion Artifacts in MRF15. Confounding Factors in Image Analysis16. Opportunities and Challenges in Clinical Translation17. MRF in Neuroimaging18. MRF in Cardiac Imaging19. MRF in Abdominal Imaging20. MRF in Musculoskeletal Imaging21. MRF in Pediatric Imaging

Dan Ma, PhD, is an Associate Professor of Neurosurgery and Biomedical Engineering at Duke University. She is the co-inventor of MR Fingerprinting and has led its technical development and clinical translation for over ten years. Her research focuses on quantitative MRI across acquisition, reconstruction, and analysis, with clinical applications in neurological diseases, pediatric imaging, breast cancer, and prostate cancer. She is a Senior Member of the National Academy of Inventors, a Junior Fellow of the International Society for Magnetic Resonance in Medicine (ISMRM) , and a recipient of the ISMRM I. I. Rabi Young Investigator Award. Dr. Mark A. Griswold is a world-renowned MRI scientist, a Professor of Radiology and Biomedical Engineering at Case Western Reserve University (CWRU) and a member of the Case Comprehensive Cancer Center. His research spans fast and quantitative MRI methods, with contributions to parallel imaging, MR fingerprinting, and MRI hardware innovation. At CWRU, he has served as Director of MRI Research and as Director of the Interactive Commons, fostering cross-disciplinary collaboration and new approaches to visualization and education. Recognized for impactful invention and translation, he was elected a Fellow of the National Academy of Inventors and a Fellow of AIMBE. He also served as President of the International Society for Magnetic Resonance in Medicine (ISMRM). Claudia Prieto, PhD, is a Professor at the Faculty of Engineering at the Pontificia Universidad Católica de Chile. She is an internationally recognized expert in cardiac magnetic resonance imaging (MRI), with more than 15 years of experience in MRI research. Her work focuses on developing and evaluating novel MRI techniques for improved assessment of cardiovascular disease, including acquisition, reconstruction, motion estimation and correction, quantitative MRI, and AI–based solutions for different stages of the imaging pipeline.

• Preface1. Quantitative MRI and Contrast Mechanisms2. Overview of Quantitative Imaging Techniques3. Fundamentals of MR Fingerprinting4. Sequence Optimization and Derivatives in MRF5. Technical Considerations for MRF Implementation6. Multi-Parametric MRF Designs7. MRF at Ultra-High and Ultra-Low Magnetic Fields8. Technical development towards efficiency, high-resolution, and automated MRF.9. Preclinical MRF10. Vendor-Neutral, Cloud Computing, Large-Scale Dissemination11. Image Post-Processing and Analysis Techniques12. The Roles of Artificial Intelligence in MRF13. Standardization and Reproducibility14. Addressing Motion Artifacts in MRF15. Confounding Factors in Image Analysis16. Opportunities and Challenges in Clinical Translation17. MRF in Neuroimaging18. MRF in Cardiac Imaging19. MRF in Abdominal Imaging20. MRF in Musculoskeletal Imaging21. MRF in Pediatric Imaging