Sparse Sampling in MRI

摘要: The significant time necessary to record each resonance echo from the volume being imaged in magnetic imaging (MRI) has led much effort develop methods which take fewer measurements. Faster mean less for patient scanner, increased efficiency use of expensive scanning facilities, improved temporal resolution studies involving moving organs or flows, and they lessen probability that motion adversely affects quality images. Images like those human body possess property sparsity, is some transform space can be represented more compactly than image space. technique compressed sensing, aims exploit therefore been adapted MRI. This, coupled with multiple receiving coils (parallel MRI) various forms prior knowledge (e.g., support constraints time), resulted significantly faster acquisitions only a modest penalty computational required reconstruction. We describe background motivation adopting sparse sampling show evidence nature biological data sets. briefly present theory behind parallel MRI reconstruction, sensing application summarize work other groups applying these concepts our own contributions. finish brief conjecture on possibilities future development area.