Magnetic Resonance Fingerprinting for Quantitative MRI

Volume 14
Erscheinungsjahr 2026
ISBN: 978-0-443-21671-8
Verlag: Elsevier Science

Buch, Englisch, 375 Seiten, Format (B × H): 191 mm x 235 mm

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.

Autoren/Hrsg.

Ma, Dan

Griswold, Mark

Prieto, Claudia

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe

Inhaltsverzeichnis

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

Über Autor(innen)

Ma, Dan
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.

Prieto, Claudia
Dr Claudia Prieto is a Reader in the School of Biomedical Engineering & Imaging Sciences