Magnetic Resonance Fingerprinting for Quantitative MRI
- 1st Edition, Volume 14 - March 1, 2026
- Editors: Dan Ma, Mark Griswold, Claudia Prieto
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 1 6 7 1 - 8
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 1 6 7 0 - 1
MR Fingerprinting is emerging as a clinically feasible and versatile tool for quantitative MR imaging. Magnetic Resonance Fingerprinting for Quantitative MRI focuses on all aspec… Read more
MR Fingerprinting is emerging as a clinically feasible and versatile tool for quantitative MR imaging. Magnetic Resonance Fingerprinting for Quantitative MRI focuses on all aspects of MR Fingerprinting techniques and applications. Presenting a detailed and clear description of the technology, implementation, clinical translation issues and applications, it emphasizes different perspectives of MR signals and their utilization, with the goal of inspiring readers to explore new MR Fingerprinting designs. The book starts each section with a discussion on rethinking the MR acquisition and the opportunities provided by, for example, different MR contrast mechanisms, signal modeling, post-processing and clinical applications.
Magnetic Resonance Fingerprinting for Quantitative MRI is a complete reference for magnetic resonance imaging researchers and radiologists.
- Clearly explains all the technologies of magnetic resonance fingerprinting
- Presents the opportunities and challenges of clinical translation
- Covers a wide range of applications with suggested protocols to use
Magnetic resonance imaging researchers and radiologists with backgrounds either in MR physics, biomedical engineering, mathematics, and radiology
1. Overview of Quantitative Imaging
2. Contrast Mechanism, transient state
MR Fingerprinting: Technical
3. Concept of MR Fingerprinting (flexibility !)
4. Sequence Optimization and Derivatives
· Sequence Configurations
· Sequence optimization
· Multitasking, mp2rage …
5. Technical Considerations of MRF Implementation
· Signal Modeling
· Dictionary and data reduction
· Reconstruction
· Template Matching
· Partial volume
· Motion robustness and correction
6. Multi-parametric Designs
· why multi-dimensional encoding and modeling
· Water-fat
· Vasculature MRF
· Perfusion
· Diffusion
· QSM
· Chemical exchange
7. Preclinical
8. Image Post Processing and Analysis (so much data)
· Data-driven versus model-driven
· Synthetic MR
· Postprocessing pipeline
· Atlas, developmental
9. Roles of AI
· Sequence design
· Reconstruction, direct mapping
· Image analysis and prediction
10. Large Scale Dissemination, Standardization, Reproducibility
11. MRF at Ultra High and Ultra Low Fields
Clinical Applications
12. Opportunities and Challenges in Clinical Translation
13. Neuro
14. Cardiac
15. Abdominal
16. Other Applications
17. Future Perspectives
2. Contrast Mechanism, transient state
MR Fingerprinting: Technical
3. Concept of MR Fingerprinting (flexibility !)
4. Sequence Optimization and Derivatives
· Sequence Configurations
· Sequence optimization
· Multitasking, mp2rage …
5. Technical Considerations of MRF Implementation
· Signal Modeling
· Dictionary and data reduction
· Reconstruction
· Template Matching
· Partial volume
· Motion robustness and correction
6. Multi-parametric Designs
· why multi-dimensional encoding and modeling
· Water-fat
· Vasculature MRF
· Perfusion
· Diffusion
· QSM
· Chemical exchange
7. Preclinical
8. Image Post Processing and Analysis (so much data)
· Data-driven versus model-driven
· Synthetic MR
· Postprocessing pipeline
· Atlas, developmental
9. Roles of AI
· Sequence design
· Reconstruction, direct mapping
· Image analysis and prediction
10. Large Scale Dissemination, Standardization, Reproducibility
11. MRF at Ultra High and Ultra Low Fields
Clinical Applications
12. Opportunities and Challenges in Clinical Translation
13. Neuro
14. Cardiac
15. Abdominal
16. Other Applications
17. Future Perspectives
- Edition: 1
- Volume: 14
- Published: March 1, 2026
- Language: English
DM
Dan Ma
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.
Affiliations and expertise
Assistant Professor, Department of Biomedical Engineering, School of Medicine, Case Western Reserve University, and Member, Cancer Imaging Program, Case Comprehensive Cancer CenterCP
Claudia Prieto
Dr Claudia Prieto is a Reader in the School of Biomedical Engineering & Imaging Sciences
Affiliations and expertise
Reader, School of Biomedical Engineering and Imaging Sciences, UK