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Elsevier

Magnetic Resonance Fingerprinting for Quantitative MRI

  • 1st Edition, Volume 14 - April 24, 2026
  • Latest edition
  • Editors: Dan Ma, Mark Griswold, Claudia Prieto
  • Language: English

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

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Description

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.

Key features

  • Clearly explains all the technologies of magnetic resonance fingerprinting
  • Presents the opportunities and challenges of clinical translation
  • Covers a wide range of applications, including suggested protocols to use

Readership

Magnetic resonance imaging researchers and radiologists with backgrounds either in MR physics, biomedical engineering, mathematics, and radiology

Table of contents

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

Product details

  • Edition: 1
  • Latest edition
  • Volume: 14
  • Published: May 3, 2026
  • Language: English

About the editors

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 Center

CP

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