![Magnetic Resonance Fingerprinting for Quantitative MRI Magnetic Resonance Fingerprinting for Quantitative MRI](/images/libros/NoImagen.jpg)
Magnetic Resonance Fingerprinting for Quantitative MRI
Macfarlane, James Aidan
Griswold, Mark
Prieto, Claudia
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 fingerprintingPresents the opportunities and challenges of clinical translationCovers a wide range of applications with suggested protocols to use INDICE: 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
- ISBN: 978-0-443-21671-8
- Editorial: Academic Press
- Encuadernacion: Rústica
- Páginas: 375
- Fecha Publicación: 01/09/2025
- Nº Volúmenes: 1
- Idioma: Inglés