Physicians Pre-Conference: Basics of MRI-Fast Imaging

Video Transcription

Video Summary

The speaker explains why MRI is slow and how cardiac MRI can be accelerated. Strategies include collecting fewer k-space lines, using partial Fourier, parallel imaging, multi-shot methods like TSE/FSE, and non-Cartesian trajectories such as radial or spiral scanning. Skipping data can cause aliasing, which reconstruction methods must remove. Advanced approaches like compressed sensing and machine learning use prior knowledge to rebuild high-quality images from undersampled data. Together, these methods enable faster scans, better temporal resolution, reduced motion artifacts, and even free-breathing cardiac imaging.

Keywords

MRI acceleration

cardiac MRI

undersampling

compressed sensing

parallel imaging