Accelerated parallel imaging by transform coding data compression with k-t SENSE.
The theory and implementation of the k-t approach (k-t BLAST and k-t SENSE) are reviewed in the context of transform coding. The k-t approach exploits the information redundancy in typical time series of magnetic resonance images that depict anatomy and/or functional parameters. By utilizing this redundancy, it opens up the opportunity for significant acceleration, which in turn allows for scan time reduction, improvements in spatial or temporal resolution, or extended volume coverage for a given acquisition time.
Tsao
Jeffrey
J
Central Technologies, Novartis Institute for BioMedical Research Inc., Cambridge, MA 02139, USA. jeffrey.tsao@novartis.com
Hansen
Michael S
MS
Kozerke
Sebastian
S
D000465:Algorithms; D044962:Data Compression / Q000379:methods*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted