Abstract #0690

Tsao J, Tarnavski O, Privetera M, Shetty S

k-t denoising is a means of improving the signal-to-noise ratio in dynamic imaging by exploiting the spatiotemporal correlations within natural image series. In k-t denoising, the raw data are split into two copies. One undergoes spatial filtering, and is then used to estimate the signal covariance for denoising the second copy in x-f space (x = spatial position, f = conjugate axis of time). k-t denoising is similar to k-t BLAST and k-t SENSE, but without acceleration. This opens up new possibilities of alternative and more effective transforms. Cine cardiac images of ob/ob mice show significant noise reduction.