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Magnetic Resonance Fingerprinting for Quantitative MRI

  • 1 Edición, Volumen 14 - 24 de abril de 2026
  • Última edición
  • Editores: Dan Ma, Mark Griswold, Claudia Prieto
  • Idioma: Inglés

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… Leer más

Descripción

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.

Puntos claves

  • 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

De interès para

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

Índice

Preface
Dan Ma

1. Quantitative MRI and Contrast Mechanisms
Mark Griswold

2. Overview of Quantitative Imaging Techniques
Kathryn E. Keenan

3. Fundamentals of MR Fingerprinting
Dan Ma

4. Sequence Optimization and Derivatives in MRF
Debra McGivney

5. Technical Considerations for MRF Implementation
Hamilton Jesse

6. Multi-Parametric MRF Designs
Shaihan J. Malik, David Leitão and Daniel West

7. MRF at Ultra-High and Ultra-Low Magnetic Fields
Peter Börnert and Kirsten Koolstra

8. Technical development towards efficiency, high-resolution, and automated MRF.
Kawin Setsompop, Congyu Liao and Xiaozhi Cao

9. Preclinical MRF
Xin Yu, Yuning Gu, Charlie Y. Wang and Yuran Zhu

10. Vendor-Neutral, Cloud Computing, Large-Scale Dissemination
Andrew Dupuis

11. Image Post-Processing and Analysis Techniques
Zhong Irene Wang and Zheng Ding

12. The Roles of Artificial Intelligence in MRF
Pew-Thian Yap

13. Standardization and Reproducibility
Shohei Fujita

14. Addressing Motion Artifacts in MRF
Guido Buonincontri

15. Confounding Factors in Image Analysis
Jeanette Schulz-Menger, Thomas Hadler, Darian Viezzer and Jan Gröschel

16. Opportunities and Challenges in Clinical Translation
Chaitra A. Badve

17. MRF in Neuroimaging
Meiyun Wang

18. MRF in Cardiac Imaging
Claudia Prieto, Anastasia Fotaki and Rene Michael M Botnar

19. MRF in Abdominal Imaging
Chris Flask

20. MRF in Musculoskeletal Imaging
Riccardo Lattanzi

21. MRF in Pediatric Imaging
Yong Chen

Detalles del producto

  • Edición: 1
  • Última edición
  • Volumen: 14
  • Publicado: 6 de mayo de 2026
  • Idioma: Inglés

Sobre los editores

DM

Dan Ma

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.

Afiliaciones y experiencia
Assistant Professor, Department of Biomedical Engineering, School of Medicine, Case Western Reserve University, and Member, Cancer Imaging Program, Case Comprehensive Cancer Center

MG

Mark Griswold

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).

Afiliaciones y experiencia
Professor of Radiology and Biomedical Engineering at Case Western Reserve University and a member of the Case Comprehensive Cancer Center.

CP

Claudia Prieto

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.

Afiliaciones y experiencia
Reader, School of Biomedical Engineering and Imaging Sciences, UK

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