Video compressive sensing for dynamic MRI

Springer Science and Business Media LLC - Tập 13 - Trang 1-1 - 2012
Jianing V Shi1, Aswin C Sankaranarayanan1, Christoph Studer1, Richard G Baraniuk1
1Electrical and Computer Engineering, Rice University, Houston, USA

Tài liệu tham khảo

Gamper U, Boesiger P, Kozerke S: Compressed sensing in dynamic MRI. Magn. Reson. Med. 2008, 59 (2): 365-373. 10.1002/mrm.21477. Jung H, Sung K, Nayak KS, Kim EY, Ye JC: k-t FOCUSS: a general compressed sensing framework for high resolution dynamic MRI. Magn. Reson. Med. 2009, 61 (1): 103-116. 10.1002/mrm.21757. Sankaranarayanan AC, Studer C, Baraniuk RG: CS-MURI: video compressive sensing for spatial-multiplexing cameras. International Conference on Computational Photography. 2012, accepted Horn B, Schunck B: Determining optical flow. Artif. Intel. 1981, 17: 185-203. 10.1016/0004-3702(81)90024-2. Goldstein T, Osher S: The split Bregman method for L1-regularized problems. SIAM J. Imaging Sci. 2009, 2: 323-343. 10.1137/080725891. Wang Y, Yang J, Yin W, Zhang Y: A new alternating minimization algorithm for total variation image reconstruction. SIAM J. Imaging Sci. 2008, 1 (3): 248-272. 10.1137/080724265.