A temporally constrained reconstruction algorithm applied to MRI temperature data

Real time temperature maps are essential for safe and effective thermal therapies and MR is the most promising modality for providing such information. While techniques already exist for creating temperature maps, improving the accuracy, versatility and temporal resolution of these scans is an active area of research. Here we present a temporally constrained reconstruction (TCR) algorithm applied to proton resonant frequency (PRF) shift data acquired from a gradient echo sequence. Using the assumption that changes in the data vary smoothly in time, this algorithm allows images to be reconstructed accurately with fewer k-space lines acquired over time