Synopsis

In recent years, parallel imaging techniques have become essential tools for accelerating MRI exams. Nowadays, basically all modern MR systems are equipped with multi-channel coil arrays and dedicated reconstruction algorithms. After a short historical overview, this talk will describe the basic concepts of parallel imaging. Limitations due to noise amplification (i.e. g-factor) and reconstruction artifacts will be discussed and applications will be presented. Finally, future perspectives (e.g. extensions with compressed sensing or machine learning) will be outlined.