Progress of Magnetic Resonance Fingerprinting Technology and Its Clinical Application

Abstract

Magnetic resonance fingerprinting (MRF) is a revolutionary new technique for rapid quantitative magnetic resonance imaging. We reviewed the imaging technology and clinical application of MRF in an all-round way. We focus on three technical aspects: data collection, dictionary generation, and pattern recognition from traditional quantitative framework to deep learning quantitative framework. We also analyzed the technical challenges and limitations of MRF. The clinical applications of MRF in various human body regions were summarized, and the current status of MRF technology verification in terms of repeatability and reproducibility was introduced. Finally, we discussed the potential barriers and opportunities for MRF to enter clinical application and envision the future development direction of MRF technology.

Keywords

• magnetic resonance fingerprinting
• data acquisition
• dictionary generation
• pattern recognition
• deep learning net
• clinical application
• repeatability