Abstract #4656

Optimal Sampling & Reconstruction Patterns for Magnetic Resonance Inverse Imaging & MR-Encephalography

Irtiza Ali Gilani¹, Raimo Sepponen²

¹Advanced Magnetic Resonance Imaging Centre, Low Temperature Laboratory, Aalto University, Espoo, Uusima, Finland; ²Department of Electronics, Aalto University, Espoo, Uusima, Finland

Recent technological developments, inspired by magnetoencephalography (MEG) source localization techniques, in the field of magnetic resonance imaging (MRI) have resulted in advanced techniques that can provide millisecond temporal resolution. For applications such as hemodynamic based functional MRI and physiological monitoring, high temporal resolution is desirable. In this review, two techniques, i.e., dynamic magnetic resonance inverse imaging of human brain function (InI) and MR-Encephalography, are compared. Additionally, optimized sampling and reconstruction patterns for desired spatial and temporal resolution are hypothesized.