Generalized K-T Blast and K-T Sense Using Focuss

According to the recent theory of compressed sensing, accurate reconstruction is possible even from data samples dramatically smaller than Nyquist sampling limit as long as the unknown image is sparse. In MRI, dynamic imaging such as cardiac cine may be a nice application of the compressed sensing theory since it requires significant reduction of data acquisition time whereas the periodic motions are usually sparse in spectral domain. The main contribution of this paper is to show that a sparse reconstruction method called the FOCal Underdetermined System Solver (FOCUSS) is a very effective compressed sensing reconstruction algorithm by exploiting the sparsity in spectral domain. Furthermore, our analysis reveals that celebrated k-t BLAST and k-t SENSE are special cases of our algorithm; hence our algorithm outperforms them in general situations.

• Type: Conference
• Year: 2007
• Where: ISBI
• Authors: Hong Jung, Jaeheung Yoo, Jong Chul Ye
• Keywords: Compressed Sensing, ISBI 2007, Medical Imaging, Sparse Reconstruction Method, Spectral Domain